A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions

Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We...
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Autor*in:	Barbateskovic, Marija [verfasserIn] Koster, Thijs M. [verfasserIn] Eck, Ruben J. [verfasserIn] Maagaard, Mathias [verfasserIn] Afshari, Arash [verfasserIn] Blokzijl, Fredrike [verfasserIn] Cronhjort, Maria [verfasserIn] Dieperink, Willem [verfasserIn] Fabritius, Maria L. [verfasserIn] Feinberg, Josh [verfasserIn] French, Craig [verfasserIn] Gareb, Barzi [verfasserIn] Geisler, Anja [verfasserIn] Granholm, Anders [verfasserIn] Hiemstra, Bart [verfasserIn] Hu, Ruixue [verfasserIn] Imberger, Georgina [verfasserIn] Jensen, Bente T. [verfasserIn] Jonsson, Andreas B. [verfasserIn] Karam, Oliver [verfasserIn] Kong, De Zhao [verfasserIn] Korang, Steven K. [verfasserIn] Koster, Geert [verfasserIn] Lai, Baoyong [verfasserIn] Liang, Ning [verfasserIn] Lundstrøm, Lars H. [verfasserIn] Marker, Søren [verfasserIn] Meyhoff, Tine S. [verfasserIn] Nielsen, Emil E. [verfasserIn] Nørskov, Anders K. [verfasserIn] Munch, Marie W. [verfasserIn] Risom, Emilie C. [verfasserIn] Rygård, Sofie L. [verfasserIn] Safi, Sanam [verfasserIn] Sethi, Naqash [verfasserIn] Sjövall, Fredrik [verfasserIn] Lauridsen, Susanne V. [verfasserIn] van Bakelen, Nico [verfasserIn] Volbeda, Meint [verfasserIn] van der Horst, Iwan C.C. [verfasserIn] Gluud, Christian [verfasserIn] Perner, Anders [verfasserIn] Møller, Morten H. [verfasserIn] Keus, Eric [verfasserIn] Wetterslev, Jørn [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Meta-analysis Systematic review Evidence Quality Heterogeneity Diversity Tool

Übergeordnetes Werk:	Enthalten in: Journal of clinical epidemiology - Amsterdam [u.a.] : Elsevier Science, 1988, 135, Seite 29-41
Übergeordnetes Werk:	volume:135 ; pages:29-41

DOI / URN:	10.1016/j.jclinepi.2021.01.023

Katalog-ID:	ELV006354106

Internformat


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024	7		\|a 10.1016/j.jclinepi.2021.01.023 \|2 doi
035			\|a (DE-627)ELV006354106
035			\|a (ELSEVIER)S0895-4356(21)00034-2
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100	1		\|a Barbateskovic, Marija \|e verfasserin \|4 aut
245	1	0	\|a A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions
264		1	\|c 2021
336			\|a nicht spezifiziert \|b zzz \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis.
650		4	\|a Meta-analysis
650		4	\|a Systematic review
650		4	\|a Evidence
650		4	\|a Quality
650		4	\|a Heterogeneity
650		4	\|a Diversity
650		4	\|a Tool
700	1		\|a Koster, Thijs M. \|e verfasserin \|0 (orcid)0000-0003-2416-7131 \|4 aut
700	1		\|a Eck, Ruben J. \|e verfasserin \|0 (orcid)0000-0001-7440-2465 \|4 aut
700	1		\|a Maagaard, Mathias \|e verfasserin \|0 (orcid)0000-0002-9037-7295 \|4 aut
700	1		\|a Afshari, Arash \|e verfasserin \|4 aut
700	1		\|a Blokzijl, Fredrike \|e verfasserin \|0 (orcid)0000-0002-4120-761X \|4 aut
700	1		\|a Cronhjort, Maria \|e verfasserin \|0 (orcid)0000-0002-0444-8553 \|4 aut
700	1		\|a Dieperink, Willem \|e verfasserin \|0 (orcid)0000-0003-2738-7471 \|4 aut
700	1		\|a Fabritius, Maria L. \|e verfasserin \|0 (orcid)0000-0002-6497-2963 \|4 aut
700	1		\|a Feinberg, Josh \|e verfasserin \|4 aut
700	1		\|a French, Craig \|e verfasserin \|0 (orcid)0000-0003-1363-9711 \|4 aut
700	1		\|a Gareb, Barzi \|e verfasserin \|0 (orcid)0000-0003-3534-9176 \|4 aut
700	1		\|a Geisler, Anja \|e verfasserin \|0 (orcid)0000-0002-2461-2672 \|4 aut
700	1		\|a Granholm, Anders \|e verfasserin \|0 (orcid)0000-0001-5799-7655 \|4 aut
700	1		\|a Hiemstra, Bart \|e verfasserin \|4 aut
700	1		\|a Hu, Ruixue \|e verfasserin \|0 (orcid)0000-0002-1333-0485 \|4 aut
700	1		\|a Imberger, Georgina \|e verfasserin \|4 aut
700	1		\|a Jensen, Bente T. \|e verfasserin \|0 (orcid)0000-0003-3174-9121 \|4 aut
700	1		\|a Jonsson, Andreas B. \|e verfasserin \|0 (orcid)0000-0003-4611-5543 \|4 aut
700	1		\|a Karam, Oliver \|e verfasserin \|0 (orcid)0000-0001-6606-1736 \|4 aut
700	1		\|a Kong, De Zhao \|e verfasserin \|4 aut
700	1		\|a Korang, Steven K. \|e verfasserin \|0 (orcid)0000-0002-6521-0928 \|4 aut
700	1		\|a Koster, Geert \|e verfasserin \|0 (orcid)0000-0002-8927-3077 \|4 aut
700	1		\|a Lai, Baoyong \|e verfasserin \|4 aut
700	1		\|a Liang, Ning \|e verfasserin \|4 aut
700	1		\|a Lundstrøm, Lars H. \|e verfasserin \|4 aut
700	1		\|a Marker, Søren \|e verfasserin \|0 (orcid)0000-0003-3602-4541 \|4 aut
700	1		\|a Meyhoff, Tine S. \|e verfasserin \|4 aut
700	1		\|a Nielsen, Emil E. \|e verfasserin \|4 aut
700	1		\|a Nørskov, Anders K. \|e verfasserin \|4 aut
700	1		\|a Munch, Marie W. \|e verfasserin \|4 aut
700	1		\|a Risom, Emilie C. \|e verfasserin \|4 aut
700	1		\|a Rygård, Sofie L. \|e verfasserin \|4 aut
700	1		\|a Safi, Sanam \|e verfasserin \|4 aut
700	1		\|a Sethi, Naqash \|e verfasserin \|0 (orcid)0000-0002-8025-1939 \|4 aut
700	1		\|a Sjövall, Fredrik \|e verfasserin \|0 (orcid)0000-0001-5612-0325 \|4 aut
700	1		\|a Lauridsen, Susanne V. \|e verfasserin \|4 aut
700	1		\|a van Bakelen, Nico \|e verfasserin \|4 aut
700	1		\|a Volbeda, Meint \|e verfasserin \|4 aut
700	1		\|a van der Horst, Iwan C.C. \|e verfasserin \|0 (orcid)0000-0003-3891-8522 \|4 aut
700	1		\|a Gluud, Christian \|e verfasserin \|4 aut
700	1		\|a Perner, Anders \|e verfasserin \|4 aut
700	1		\|a Møller, Morten H. \|e verfasserin \|0 (orcid)0000-0002-6378-9673 \|4 aut
700	1		\|a Keus, Eric \|e verfasserin \|0 (orcid)0000-0003-1516-1475 \|4 aut
700	1		\|a Wetterslev, Jørn \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Journal of clinical epidemiology \|d Amsterdam [u.a.] : Elsevier Science, 1988 \|g 135, Seite 29-41 \|h Online-Ressource \|w (DE-627)306659700 \|w (DE-600)1500490-9 \|w (DE-576)081986343 \|x 1878-5921 \|7 nnns
773	1	8	\|g volume:135 \|g pages:29-41
912			\|a GBV_USEFLAG_U
912			\|a SYSFLAG_U
912			\|a GBV_ELV
912			\|a FID-PHARM
912			\|a SSG-OLC-PHA
912			\|a SSG-OPC-PHA
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 44.11 \|j Präventivmedizin
936	b	k	\|a 44.40 \|j Pharmazie \|j Pharmazeutika
951			\|a AR
952			\|d 135 \|h 29-41

Indexfelder

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matchkey_str	article:18785921:2021----::nwoloseslncliestimtaayec
hierarchy_sort_str	2021
bklnumber	44.11 44.40
publishDate	2021
allfields	10.1016/j.jclinepi.2021.01.023 doi (DE-627)ELV006354106 (ELSEVIER)S0895-4356(21)00034-2 DE-627 ger DE-627 rda eng 610 DE-600 PHARM DE-84 fid 44.11 bkl 44.40 bkl Barbateskovic, Marija verfasserin aut A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis. Meta-analysis Systematic review Evidence Quality Heterogeneity Diversity Tool Koster, Thijs M. verfasserin (orcid)0000-0003-2416-7131 aut Eck, Ruben J. verfasserin (orcid)0000-0001-7440-2465 aut Maagaard, Mathias verfasserin (orcid)0000-0002-9037-7295 aut Afshari, Arash verfasserin aut Blokzijl, Fredrike verfasserin (orcid)0000-0002-4120-761X aut Cronhjort, Maria verfasserin (orcid)0000-0002-0444-8553 aut Dieperink, Willem verfasserin (orcid)0000-0003-2738-7471 aut Fabritius, Maria L. verfasserin (orcid)0000-0002-6497-2963 aut Feinberg, Josh verfasserin aut French, Craig verfasserin (orcid)0000-0003-1363-9711 aut Gareb, Barzi verfasserin (orcid)0000-0003-3534-9176 aut Geisler, Anja verfasserin (orcid)0000-0002-2461-2672 aut Granholm, Anders verfasserin (orcid)0000-0001-5799-7655 aut Hiemstra, Bart verfasserin aut Hu, Ruixue verfasserin (orcid)0000-0002-1333-0485 aut Imberger, Georgina verfasserin aut Jensen, Bente T. verfasserin (orcid)0000-0003-3174-9121 aut Jonsson, Andreas B. verfasserin (orcid)0000-0003-4611-5543 aut Karam, Oliver verfasserin (orcid)0000-0001-6606-1736 aut Kong, De Zhao verfasserin aut Korang, Steven K. verfasserin (orcid)0000-0002-6521-0928 aut Koster, Geert verfasserin (orcid)0000-0002-8927-3077 aut Lai, Baoyong verfasserin aut Liang, Ning verfasserin aut Lundstrøm, Lars H. verfasserin aut Marker, Søren verfasserin (orcid)0000-0003-3602-4541 aut Meyhoff, Tine S. verfasserin aut Nielsen, Emil E. verfasserin aut Nørskov, Anders K. verfasserin aut Munch, Marie W. verfasserin aut Risom, Emilie C. verfasserin aut Rygård, Sofie L. verfasserin aut Safi, Sanam verfasserin aut Sethi, Naqash verfasserin (orcid)0000-0002-8025-1939 aut Sjövall, Fredrik verfasserin (orcid)0000-0001-5612-0325 aut Lauridsen, Susanne V. verfasserin aut van Bakelen, Nico verfasserin aut Volbeda, Meint verfasserin aut van der Horst, Iwan C.C. verfasserin (orcid)0000-0003-3891-8522 aut Gluud, Christian verfasserin aut Perner, Anders verfasserin aut Møller, Morten H. verfasserin (orcid)0000-0002-6378-9673 aut Keus, Eric verfasserin (orcid)0000-0003-1516-1475 aut Wetterslev, Jørn verfasserin aut Enthalten in Journal of clinical epidemiology Amsterdam [u.a.] : Elsevier Science, 1988 135, Seite 29-41 Online-Ressource (DE-627)306659700 (DE-600)1500490-9 (DE-576)081986343 1878-5921 nnns volume:135 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.11 Präventivmedizin 44.40 Pharmazie Pharmazeutika AR 135 29-41
spelling	10.1016/j.jclinepi.2021.01.023 doi (DE-627)ELV006354106 (ELSEVIER)S0895-4356(21)00034-2 DE-627 ger DE-627 rda eng 610 DE-600 PHARM DE-84 fid 44.11 bkl 44.40 bkl Barbateskovic, Marija verfasserin aut A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis. Meta-analysis Systematic review Evidence Quality Heterogeneity Diversity Tool Koster, Thijs M. verfasserin (orcid)0000-0003-2416-7131 aut Eck, Ruben J. verfasserin (orcid)0000-0001-7440-2465 aut Maagaard, Mathias verfasserin (orcid)0000-0002-9037-7295 aut Afshari, Arash verfasserin aut Blokzijl, Fredrike verfasserin (orcid)0000-0002-4120-761X aut Cronhjort, Maria verfasserin (orcid)0000-0002-0444-8553 aut Dieperink, Willem verfasserin (orcid)0000-0003-2738-7471 aut Fabritius, Maria L. verfasserin (orcid)0000-0002-6497-2963 aut Feinberg, Josh verfasserin aut French, Craig verfasserin (orcid)0000-0003-1363-9711 aut Gareb, Barzi verfasserin (orcid)0000-0003-3534-9176 aut Geisler, Anja verfasserin (orcid)0000-0002-2461-2672 aut Granholm, Anders verfasserin (orcid)0000-0001-5799-7655 aut Hiemstra, Bart verfasserin aut Hu, Ruixue verfasserin (orcid)0000-0002-1333-0485 aut Imberger, Georgina verfasserin aut Jensen, Bente T. verfasserin (orcid)0000-0003-3174-9121 aut Jonsson, Andreas B. verfasserin (orcid)0000-0003-4611-5543 aut Karam, Oliver verfasserin (orcid)0000-0001-6606-1736 aut Kong, De Zhao verfasserin aut Korang, Steven K. verfasserin (orcid)0000-0002-6521-0928 aut Koster, Geert verfasserin (orcid)0000-0002-8927-3077 aut Lai, Baoyong verfasserin aut Liang, Ning verfasserin aut Lundstrøm, Lars H. verfasserin aut Marker, Søren verfasserin (orcid)0000-0003-3602-4541 aut Meyhoff, Tine S. verfasserin aut Nielsen, Emil E. verfasserin aut Nørskov, Anders K. verfasserin aut Munch, Marie W. verfasserin aut Risom, Emilie C. verfasserin aut Rygård, Sofie L. verfasserin aut Safi, Sanam verfasserin aut Sethi, Naqash verfasserin (orcid)0000-0002-8025-1939 aut Sjövall, Fredrik verfasserin (orcid)0000-0001-5612-0325 aut Lauridsen, Susanne V. verfasserin aut van Bakelen, Nico verfasserin aut Volbeda, Meint verfasserin aut van der Horst, Iwan C.C. verfasserin (orcid)0000-0003-3891-8522 aut Gluud, Christian verfasserin aut Perner, Anders verfasserin aut Møller, Morten H. verfasserin (orcid)0000-0002-6378-9673 aut Keus, Eric verfasserin (orcid)0000-0003-1516-1475 aut Wetterslev, Jørn verfasserin aut Enthalten in Journal of clinical epidemiology Amsterdam [u.a.] : Elsevier Science, 1988 135, Seite 29-41 Online-Ressource (DE-627)306659700 (DE-600)1500490-9 (DE-576)081986343 1878-5921 nnns volume:135 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.11 Präventivmedizin 44.40 Pharmazie Pharmazeutika AR 135 29-41
allfields_unstemmed	10.1016/j.jclinepi.2021.01.023 doi (DE-627)ELV006354106 (ELSEVIER)S0895-4356(21)00034-2 DE-627 ger DE-627 rda eng 610 DE-600 PHARM DE-84 fid 44.11 bkl 44.40 bkl Barbateskovic, Marija verfasserin aut A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis. Meta-analysis Systematic review Evidence Quality Heterogeneity Diversity Tool Koster, Thijs M. verfasserin (orcid)0000-0003-2416-7131 aut Eck, Ruben J. verfasserin (orcid)0000-0001-7440-2465 aut Maagaard, Mathias verfasserin (orcid)0000-0002-9037-7295 aut Afshari, Arash verfasserin aut Blokzijl, Fredrike verfasserin (orcid)0000-0002-4120-761X aut Cronhjort, Maria verfasserin (orcid)0000-0002-0444-8553 aut Dieperink, Willem verfasserin (orcid)0000-0003-2738-7471 aut Fabritius, Maria L. verfasserin (orcid)0000-0002-6497-2963 aut Feinberg, Josh verfasserin aut French, Craig verfasserin (orcid)0000-0003-1363-9711 aut Gareb, Barzi verfasserin (orcid)0000-0003-3534-9176 aut Geisler, Anja verfasserin (orcid)0000-0002-2461-2672 aut Granholm, Anders verfasserin (orcid)0000-0001-5799-7655 aut Hiemstra, Bart verfasserin aut Hu, Ruixue verfasserin (orcid)0000-0002-1333-0485 aut Imberger, Georgina verfasserin aut Jensen, Bente T. verfasserin (orcid)0000-0003-3174-9121 aut Jonsson, Andreas B. verfasserin (orcid)0000-0003-4611-5543 aut Karam, Oliver verfasserin (orcid)0000-0001-6606-1736 aut Kong, De Zhao verfasserin aut Korang, Steven K. verfasserin (orcid)0000-0002-6521-0928 aut Koster, Geert verfasserin (orcid)0000-0002-8927-3077 aut Lai, Baoyong verfasserin aut Liang, Ning verfasserin aut Lundstrøm, Lars H. verfasserin aut Marker, Søren verfasserin (orcid)0000-0003-3602-4541 aut Meyhoff, Tine S. verfasserin aut Nielsen, Emil E. verfasserin aut Nørskov, Anders K. verfasserin aut Munch, Marie W. verfasserin aut Risom, Emilie C. verfasserin aut Rygård, Sofie L. verfasserin aut Safi, Sanam verfasserin aut Sethi, Naqash verfasserin (orcid)0000-0002-8025-1939 aut Sjövall, Fredrik verfasserin (orcid)0000-0001-5612-0325 aut Lauridsen, Susanne V. verfasserin aut van Bakelen, Nico verfasserin aut Volbeda, Meint verfasserin aut van der Horst, Iwan C.C. verfasserin (orcid)0000-0003-3891-8522 aut Gluud, Christian verfasserin aut Perner, Anders verfasserin aut Møller, Morten H. verfasserin (orcid)0000-0002-6378-9673 aut Keus, Eric verfasserin (orcid)0000-0003-1516-1475 aut Wetterslev, Jørn verfasserin aut Enthalten in Journal of clinical epidemiology Amsterdam [u.a.] : Elsevier Science, 1988 135, Seite 29-41 Online-Ressource (DE-627)306659700 (DE-600)1500490-9 (DE-576)081986343 1878-5921 nnns volume:135 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.11 Präventivmedizin 44.40 Pharmazie Pharmazeutika AR 135 29-41
allfieldsGer	10.1016/j.jclinepi.2021.01.023 doi (DE-627)ELV006354106 (ELSEVIER)S0895-4356(21)00034-2 DE-627 ger DE-627 rda eng 610 DE-600 PHARM DE-84 fid 44.11 bkl 44.40 bkl Barbateskovic, Marija verfasserin aut A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis. Meta-analysis Systematic review Evidence Quality Heterogeneity Diversity Tool Koster, Thijs M. verfasserin (orcid)0000-0003-2416-7131 aut Eck, Ruben J. verfasserin (orcid)0000-0001-7440-2465 aut Maagaard, Mathias verfasserin (orcid)0000-0002-9037-7295 aut Afshari, Arash verfasserin aut Blokzijl, Fredrike verfasserin (orcid)0000-0002-4120-761X aut Cronhjort, Maria verfasserin (orcid)0000-0002-0444-8553 aut Dieperink, Willem verfasserin (orcid)0000-0003-2738-7471 aut Fabritius, Maria L. verfasserin (orcid)0000-0002-6497-2963 aut Feinberg, Josh verfasserin aut French, Craig verfasserin (orcid)0000-0003-1363-9711 aut Gareb, Barzi verfasserin (orcid)0000-0003-3534-9176 aut Geisler, Anja verfasserin (orcid)0000-0002-2461-2672 aut Granholm, Anders verfasserin (orcid)0000-0001-5799-7655 aut Hiemstra, Bart verfasserin aut Hu, Ruixue verfasserin (orcid)0000-0002-1333-0485 aut Imberger, Georgina verfasserin aut Jensen, Bente T. verfasserin (orcid)0000-0003-3174-9121 aut Jonsson, Andreas B. verfasserin (orcid)0000-0003-4611-5543 aut Karam, Oliver verfasserin (orcid)0000-0001-6606-1736 aut Kong, De Zhao verfasserin aut Korang, Steven K. verfasserin (orcid)0000-0002-6521-0928 aut Koster, Geert verfasserin (orcid)0000-0002-8927-3077 aut Lai, Baoyong verfasserin aut Liang, Ning verfasserin aut Lundstrøm, Lars H. verfasserin aut Marker, Søren verfasserin (orcid)0000-0003-3602-4541 aut Meyhoff, Tine S. verfasserin aut Nielsen, Emil E. verfasserin aut Nørskov, Anders K. verfasserin aut Munch, Marie W. verfasserin aut Risom, Emilie C. verfasserin aut Rygård, Sofie L. verfasserin aut Safi, Sanam verfasserin aut Sethi, Naqash verfasserin (orcid)0000-0002-8025-1939 aut Sjövall, Fredrik verfasserin (orcid)0000-0001-5612-0325 aut Lauridsen, Susanne V. verfasserin aut van Bakelen, Nico verfasserin aut Volbeda, Meint verfasserin aut van der Horst, Iwan C.C. verfasserin (orcid)0000-0003-3891-8522 aut Gluud, Christian verfasserin aut Perner, Anders verfasserin aut Møller, Morten H. verfasserin (orcid)0000-0002-6378-9673 aut Keus, Eric verfasserin (orcid)0000-0003-1516-1475 aut Wetterslev, Jørn verfasserin aut Enthalten in Journal of clinical epidemiology Amsterdam [u.a.] : Elsevier Science, 1988 135, Seite 29-41 Online-Ressource (DE-627)306659700 (DE-600)1500490-9 (DE-576)081986343 1878-5921 nnns volume:135 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.11 Präventivmedizin 44.40 Pharmazie Pharmazeutika AR 135 29-41
allfieldsSound	10.1016/j.jclinepi.2021.01.023 doi (DE-627)ELV006354106 (ELSEVIER)S0895-4356(21)00034-2 DE-627 ger DE-627 rda eng 610 DE-600 PHARM DE-84 fid 44.11 bkl 44.40 bkl Barbateskovic, Marija verfasserin aut A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis. Meta-analysis Systematic review Evidence Quality Heterogeneity Diversity Tool Koster, Thijs M. verfasserin (orcid)0000-0003-2416-7131 aut Eck, Ruben J. verfasserin (orcid)0000-0001-7440-2465 aut Maagaard, Mathias verfasserin (orcid)0000-0002-9037-7295 aut Afshari, Arash verfasserin aut Blokzijl, Fredrike verfasserin (orcid)0000-0002-4120-761X aut Cronhjort, Maria verfasserin (orcid)0000-0002-0444-8553 aut Dieperink, Willem verfasserin (orcid)0000-0003-2738-7471 aut Fabritius, Maria L. verfasserin (orcid)0000-0002-6497-2963 aut Feinberg, Josh verfasserin aut French, Craig verfasserin (orcid)0000-0003-1363-9711 aut Gareb, Barzi verfasserin (orcid)0000-0003-3534-9176 aut Geisler, Anja verfasserin (orcid)0000-0002-2461-2672 aut Granholm, Anders verfasserin (orcid)0000-0001-5799-7655 aut Hiemstra, Bart verfasserin aut Hu, Ruixue verfasserin (orcid)0000-0002-1333-0485 aut Imberger, Georgina verfasserin aut Jensen, Bente T. verfasserin (orcid)0000-0003-3174-9121 aut Jonsson, Andreas B. verfasserin (orcid)0000-0003-4611-5543 aut Karam, Oliver verfasserin (orcid)0000-0001-6606-1736 aut Kong, De Zhao verfasserin aut Korang, Steven K. verfasserin (orcid)0000-0002-6521-0928 aut Koster, Geert verfasserin (orcid)0000-0002-8927-3077 aut Lai, Baoyong verfasserin aut Liang, Ning verfasserin aut Lundstrøm, Lars H. verfasserin aut Marker, Søren verfasserin (orcid)0000-0003-3602-4541 aut Meyhoff, Tine S. verfasserin aut Nielsen, Emil E. verfasserin aut Nørskov, Anders K. verfasserin aut Munch, Marie W. verfasserin aut Risom, Emilie C. verfasserin aut Rygård, Sofie L. verfasserin aut Safi, Sanam verfasserin aut Sethi, Naqash verfasserin (orcid)0000-0002-8025-1939 aut Sjövall, Fredrik verfasserin (orcid)0000-0001-5612-0325 aut Lauridsen, Susanne V. verfasserin aut van Bakelen, Nico verfasserin aut Volbeda, Meint verfasserin aut van der Horst, Iwan C.C. verfasserin (orcid)0000-0003-3891-8522 aut Gluud, Christian verfasserin aut Perner, Anders verfasserin aut Møller, Morten H. verfasserin (orcid)0000-0002-6378-9673 aut Keus, Eric verfasserin (orcid)0000-0003-1516-1475 aut Wetterslev, Jørn verfasserin aut Enthalten in Journal of clinical epidemiology Amsterdam [u.a.] : Elsevier Science, 1988 135, Seite 29-41 Online-Ressource (DE-627)306659700 (DE-600)1500490-9 (DE-576)081986343 1878-5921 nnns volume:135 pages:29-41 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.11 Präventivmedizin 44.40 Pharmazie Pharmazeutika AR 135 29-41
language	English
source	Enthalten in Journal of clinical epidemiology 135, Seite 29-41 volume:135 pages:29-41
sourceStr	Enthalten in Journal of clinical epidemiology 135, Seite 29-41 volume:135 pages:29-41
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bklname	Präventivmedizin Pharmazie Pharmazeutika
institution	findex.gbv.de
topic_facet	Meta-analysis Systematic review Evidence Quality Heterogeneity Diversity Tool
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container_title	Journal of clinical epidemiology
authorswithroles_txt_mv	Barbateskovic, Marija @@aut@@ Koster, Thijs M. @@aut@@ Eck, Ruben J. @@aut@@ Maagaard, Mathias @@aut@@ Afshari, Arash @@aut@@ Blokzijl, Fredrike @@aut@@ Cronhjort, Maria @@aut@@ Dieperink, Willem @@aut@@ Fabritius, Maria L. @@aut@@ Feinberg, Josh @@aut@@ French, Craig @@aut@@ Gareb, Barzi @@aut@@ Geisler, Anja @@aut@@ Granholm, Anders @@aut@@ Hiemstra, Bart @@aut@@ Hu, Ruixue @@aut@@ Imberger, Georgina @@aut@@ Jensen, Bente T. @@aut@@ Jonsson, Andreas B. @@aut@@ Karam, Oliver @@aut@@ Kong, De Zhao @@aut@@ Korang, Steven K. @@aut@@ Koster, Geert @@aut@@ Lai, Baoyong @@aut@@ Liang, Ning @@aut@@ Lundstrøm, Lars H. @@aut@@ Marker, Søren @@aut@@ Meyhoff, Tine S. @@aut@@ Nielsen, Emil E. @@aut@@ Nørskov, Anders K. @@aut@@ Munch, Marie W. @@aut@@ Risom, Emilie C. @@aut@@ Rygård, Sofie L. @@aut@@ Safi, Sanam @@aut@@ Sethi, Naqash @@aut@@ Sjövall, Fredrik @@aut@@ Lauridsen, Susanne V. @@aut@@ van Bakelen, Nico @@aut@@ Volbeda, Meint @@aut@@ van der Horst, Iwan C.C. @@aut@@ Gluud, Christian @@aut@@ Perner, Anders @@aut@@ Møller, Morten H. @@aut@@ Keus, Eric @@aut@@ Wetterslev, Jørn @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	306659700
dewey-sort	3610
id	ELV006354106
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV006354106</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524162721.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230505s2021 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jclinepi.2021.01.023</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV006354106</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0895-4356(21)00034-2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHARM</subfield><subfield code="q">DE-84</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.11</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Barbateskovic, Marija</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. 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author	Barbateskovic, Marija
spellingShingle	Barbateskovic, Marija ddc 610 fid PHARM bkl 44.11 bkl 44.40 misc Meta-analysis misc Systematic review misc Evidence misc Quality misc Heterogeneity misc Diversity misc Tool A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions
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topic_title	610 DE-600 PHARM DE-84 fid 44.11 bkl 44.40 bkl A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions Meta-analysis Systematic review Evidence Quality Heterogeneity Diversity Tool
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title	A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions
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title_full	A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions
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author_browse	Barbateskovic, Marija Koster, Thijs M. Eck, Ruben J. Maagaard, Mathias Afshari, Arash Blokzijl, Fredrike Cronhjort, Maria Dieperink, Willem Fabritius, Maria L. Feinberg, Josh French, Craig Gareb, Barzi Geisler, Anja Granholm, Anders Hiemstra, Bart Hu, Ruixue Imberger, Georgina Jensen, Bente T. Jonsson, Andreas B. Karam, Oliver Kong, De Zhao Korang, Steven K. Koster, Geert Lai, Baoyong Liang, Ning Lundstrøm, Lars H. Marker, Søren Meyhoff, Tine S. Nielsen, Emil E. Nørskov, Anders K. Munch, Marie W. Risom, Emilie C. Rygård, Sofie L. Safi, Sanam Sethi, Naqash Sjövall, Fredrik Lauridsen, Susanne V. van Bakelen, Nico Volbeda, Meint van der Horst, Iwan C.C. Gluud, Christian Perner, Anders Møller, Morten H. Keus, Eric Wetterslev, Jørn
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title_sort	a new tool to assess clinical diversity in meta‐analyses (cdim) of interventions
title_auth	A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions
abstract	Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis.
abstractGer	Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis.
abstract_unstemmed	Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions.Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups.Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters.Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis.
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title_short	A new tool to assess Clinical Diversity In Meta‐analyses (CDIM) of interventions
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author2	Koster, Thijs M. Eck, Ruben J. Maagaard, Mathias Afshari, Arash Blokzijl, Fredrike Cronhjort, Maria Dieperink, Willem Fabritius, Maria L. Feinberg, Josh French, Craig Gareb, Barzi Geisler, Anja Granholm, Anders Hiemstra, Bart Hu, Ruixue Imberger, Georgina Jensen, Bente T. Jonsson, Andreas B. Karam, Oliver Kong, De Zhao Korang, Steven K. Koster, Geert Lai, Baoyong Liang, Ning Lundstrøm, Lars H. Marker, Søren Meyhoff, Tine S. Nielsen, Emil E. Nørskov, Anders K. Munch, Marie W. Risom, Emilie C. Rygård, Sofie L. Safi, Sanam Sethi, Naqash Sjövall, Fredrik Lauridsen, Susanne V. van Bakelen, Nico Volbeda, Meint van der Horst, Iwan C.C. Gluud, Christian Perner, Anders Møller, Morten H. Keus, Eric Wetterslev, Jørn
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