Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria
Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cosson, E. [verfasserIn] Vicaut, E. [verfasserIn] Sandre-Banon, D. [verfasserIn] Gary, F. [verfasserIn] Pharisien, I. [verfasserIn] Portal, J.-J. [verfasserIn] Baudry, C. [verfasserIn] Cussac-Pillegand, C. [verfasserIn] Costeniuc, D. [verfasserIn] Valensi, P. [verfasserIn] Carbillon, L. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
Early gestational diabetes mellitus International Association of Diabetes and Pregnancy Study Groups |
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| Übergeordnetes Werk: |
Enthalten in: Diabetes & metabolism - Issy-les-Moulineaux : Elsevier Masson, 1997, 46, Seite 311-318 |
|---|---|
| Übergeordnetes Werk: |
volume:46 ; pages:311-318 |
| DOI / URN: |
10.1016/j.diabet.2019.09.002 |
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| Katalog-ID: |
ELV004662636 |
|---|
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| 024 | 7 | |a 10.1016/j.diabet.2019.09.002 |2 doi | |
| 035 | |a (DE-627)ELV004662636 | ||
| 035 | |a (ELSEVIER)S1262-3636(19)30157-0 | ||
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| 041 | |a eng | ||
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| 100 | 1 | |a Cosson, E. |e verfasserin |0 (orcid)0000-0002-8785-3385 |4 aut | |
| 245 | 1 | 0 | |a Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria |
| 264 | 1 | |c 2019 | |
| 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 Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. | ||
| 650 | 4 | |a Diabetes in pregnancy | |
| 650 | 4 | |a Early gestational diabetes mellitus | |
| 650 | 4 | |a International Association of Diabetes and Pregnancy Study Groups | |
| 650 | 4 | |a Guidelines | |
| 650 | 4 | |a Prognosis | |
| 650 | 4 | |a Screening | |
| 700 | 1 | |a Vicaut, E. |e verfasserin |4 aut | |
| 700 | 1 | |a Sandre-Banon, D. |e verfasserin |4 aut | |
| 700 | 1 | |a Gary, F. |e verfasserin |4 aut | |
| 700 | 1 | |a Pharisien, I. |e verfasserin |4 aut | |
| 700 | 1 | |a Portal, J.-J. |e verfasserin |4 aut | |
| 700 | 1 | |a Baudry, C. |e verfasserin |4 aut | |
| 700 | 1 | |a Cussac-Pillegand, C. |e verfasserin |4 aut | |
| 700 | 1 | |a Costeniuc, D. |e verfasserin |4 aut | |
| 700 | 1 | |a Valensi, P. |e verfasserin |4 aut | |
| 700 | 1 | |a Carbillon, L. |e verfasserin |0 (orcid)0000-0001-6367-4828 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Diabetes & metabolism |d Issy-les-Moulineaux : Elsevier Masson, 1997 |g 46, Seite 311-318 |h Online-Ressource |w (DE-627)33020713X |w (DE-600)2049824-X |w (DE-576)094475970 |x 1878-1780 |7 nnns |
| 773 | 1 | 8 | |g volume:46 |g pages:311-318 |
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| 912 | |a GBV_ILN_224 | ||
| 912 | |a GBV_ILN_370 | ||
| 912 | |a GBV_ILN_602 | ||
| 912 | |a GBV_ILN_702 | ||
| 912 | |a GBV_ILN_2001 | ||
| 912 | |a GBV_ILN_2003 | ||
| 912 | |a GBV_ILN_2004 | ||
| 912 | |a GBV_ILN_2005 | ||
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| 912 | |a GBV_ILN_2008 | ||
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| 912 | |a GBV_ILN_2020 | ||
| 912 | |a GBV_ILN_2021 | ||
| 912 | |a GBV_ILN_2025 | ||
| 912 | |a GBV_ILN_2026 | ||
| 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_2055 | ||
| 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_2088 | ||
| 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_2232 | ||
| 912 | |a GBV_ILN_2336 | ||
| 912 | |a GBV_ILN_2470 | ||
| 912 | |a GBV_ILN_2507 | ||
| 912 | |a GBV_ILN_2522 | ||
| 912 | |a GBV_ILN_4035 | ||
| 912 | |a GBV_ILN_4037 | ||
| 912 | |a GBV_ILN_4046 | ||
| 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_4322 | ||
| 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 44.89 |j Endokrinologie |
| 951 | |a AR | ||
| 952 | |d 46 |h 311-318 | ||
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2019 |
| bklnumber |
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| publishDate |
2019 |
| allfields |
10.1016/j.diabet.2019.09.002 doi (DE-627)ELV004662636 (ELSEVIER)S1262-3636(19)30157-0 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Cosson, E. verfasserin (orcid)0000-0002-8785-3385 aut Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. Diabetes in pregnancy Early gestational diabetes mellitus International Association of Diabetes and Pregnancy Study Groups Guidelines Prognosis Screening Vicaut, E. verfasserin aut Sandre-Banon, D. verfasserin aut Gary, F. verfasserin aut Pharisien, I. verfasserin aut Portal, J.-J. verfasserin aut Baudry, C. verfasserin aut Cussac-Pillegand, C. verfasserin aut Costeniuc, D. verfasserin aut Valensi, P. verfasserin aut Carbillon, L. verfasserin (orcid)0000-0001-6367-4828 aut Enthalten in Diabetes & metabolism Issy-les-Moulineaux : Elsevier Masson, 1997 46, Seite 311-318 Online-Ressource (DE-627)33020713X (DE-600)2049824-X (DE-576)094475970 1878-1780 nnns volume:46 pages:311-318 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-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_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 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_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 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 44.89 Endokrinologie AR 46 311-318 |
| spelling |
10.1016/j.diabet.2019.09.002 doi (DE-627)ELV004662636 (ELSEVIER)S1262-3636(19)30157-0 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Cosson, E. verfasserin (orcid)0000-0002-8785-3385 aut Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. Diabetes in pregnancy Early gestational diabetes mellitus International Association of Diabetes and Pregnancy Study Groups Guidelines Prognosis Screening Vicaut, E. verfasserin aut Sandre-Banon, D. verfasserin aut Gary, F. verfasserin aut Pharisien, I. verfasserin aut Portal, J.-J. verfasserin aut Baudry, C. verfasserin aut Cussac-Pillegand, C. verfasserin aut Costeniuc, D. verfasserin aut Valensi, P. verfasserin aut Carbillon, L. verfasserin (orcid)0000-0001-6367-4828 aut Enthalten in Diabetes & metabolism Issy-les-Moulineaux : Elsevier Masson, 1997 46, Seite 311-318 Online-Ressource (DE-627)33020713X (DE-600)2049824-X (DE-576)094475970 1878-1780 nnns volume:46 pages:311-318 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-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_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 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_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 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 44.89 Endokrinologie AR 46 311-318 |
| allfields_unstemmed |
10.1016/j.diabet.2019.09.002 doi (DE-627)ELV004662636 (ELSEVIER)S1262-3636(19)30157-0 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Cosson, E. verfasserin (orcid)0000-0002-8785-3385 aut Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. Diabetes in pregnancy Early gestational diabetes mellitus International Association of Diabetes and Pregnancy Study Groups Guidelines Prognosis Screening Vicaut, E. verfasserin aut Sandre-Banon, D. verfasserin aut Gary, F. verfasserin aut Pharisien, I. verfasserin aut Portal, J.-J. verfasserin aut Baudry, C. verfasserin aut Cussac-Pillegand, C. verfasserin aut Costeniuc, D. verfasserin aut Valensi, P. verfasserin aut Carbillon, L. verfasserin (orcid)0000-0001-6367-4828 aut Enthalten in Diabetes & metabolism Issy-les-Moulineaux : Elsevier Masson, 1997 46, Seite 311-318 Online-Ressource (DE-627)33020713X (DE-600)2049824-X (DE-576)094475970 1878-1780 nnns volume:46 pages:311-318 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-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_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 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_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 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 44.89 Endokrinologie AR 46 311-318 |
| allfieldsGer |
10.1016/j.diabet.2019.09.002 doi (DE-627)ELV004662636 (ELSEVIER)S1262-3636(19)30157-0 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Cosson, E. verfasserin (orcid)0000-0002-8785-3385 aut Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. Diabetes in pregnancy Early gestational diabetes mellitus International Association of Diabetes and Pregnancy Study Groups Guidelines Prognosis Screening Vicaut, E. verfasserin aut Sandre-Banon, D. verfasserin aut Gary, F. verfasserin aut Pharisien, I. verfasserin aut Portal, J.-J. verfasserin aut Baudry, C. verfasserin aut Cussac-Pillegand, C. verfasserin aut Costeniuc, D. verfasserin aut Valensi, P. verfasserin aut Carbillon, L. verfasserin (orcid)0000-0001-6367-4828 aut Enthalten in Diabetes & metabolism Issy-les-Moulineaux : Elsevier Masson, 1997 46, Seite 311-318 Online-Ressource (DE-627)33020713X (DE-600)2049824-X (DE-576)094475970 1878-1780 nnns volume:46 pages:311-318 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-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_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 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_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 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 44.89 Endokrinologie AR 46 311-318 |
| allfieldsSound |
10.1016/j.diabet.2019.09.002 doi (DE-627)ELV004662636 (ELSEVIER)S1262-3636(19)30157-0 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Cosson, E. verfasserin (orcid)0000-0002-8785-3385 aut Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. Diabetes in pregnancy Early gestational diabetes mellitus International Association of Diabetes and Pregnancy Study Groups Guidelines Prognosis Screening Vicaut, E. verfasserin aut Sandre-Banon, D. verfasserin aut Gary, F. verfasserin aut Pharisien, I. verfasserin aut Portal, J.-J. verfasserin aut Baudry, C. verfasserin aut Cussac-Pillegand, C. verfasserin aut Costeniuc, D. verfasserin aut Valensi, P. verfasserin aut Carbillon, L. verfasserin (orcid)0000-0001-6367-4828 aut Enthalten in Diabetes & metabolism Issy-les-Moulineaux : Elsevier Masson, 1997 46, Seite 311-318 Online-Ressource (DE-627)33020713X (DE-600)2049824-X (DE-576)094475970 1878-1780 nnns volume:46 pages:311-318 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-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_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 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_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 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 44.89 Endokrinologie AR 46 311-318 |
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Cosson, E. @@aut@@ Vicaut, E. @@aut@@ Sandre-Banon, D. @@aut@@ Gary, F. @@aut@@ Pharisien, I. @@aut@@ Portal, J.-J. @@aut@@ Baudry, C. @@aut@@ Cussac-Pillegand, C. @@aut@@ Costeniuc, D. @@aut@@ Valensi, P. @@aut@@ Carbillon, L. @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV004662636</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524163940.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230503s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.diabet.2019.09.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV004662636</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1262-3636(19)30157-0</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">44.89</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cosson, E.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-8785-3385</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</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">Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. 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Cosson, E. |
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Cosson, E. ddc 610 bkl 44.89 misc Diabetes in pregnancy misc Early gestational diabetes mellitus misc International Association of Diabetes and Pregnancy Study Groups misc Guidelines misc Prognosis misc Screening Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria |
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610 DE-600 44.89 bkl Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria Diabetes in pregnancy Early gestational diabetes mellitus International Association of Diabetes and Pregnancy Study Groups Guidelines Prognosis Screening |
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ddc 610 bkl 44.89 misc Diabetes in pregnancy misc Early gestational diabetes mellitus misc International Association of Diabetes and Pregnancy Study Groups misc Guidelines misc Prognosis misc Screening |
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Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria |
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Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria |
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Cosson, E. Vicaut, E. Sandre-Banon, D. Gary, F. Pharisien, I. Portal, J.-J. Baudry, C. Cussac-Pillegand, C. Costeniuc, D. Valensi, P. Carbillon, L. |
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10.1016/j.diabet.2019.09.002 |
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performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by iadpsg/who criteria |
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Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria |
| abstract |
Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. |
| abstractGer |
Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. |
| abstract_unstemmed |
Aim: Our study evaluated the performance of a selective screening strategy for hyperglycaemia in pregnancy (HIP) based on the presence of risk factors (RFs; body mass index≥25kg/m2, age≥35years, family history of diabetes, personal history of HIP or macrosomic infant) to diagnose HIP and to predict HIP-related events.Methods: Women with no known diabetes who had undergone complete universal screening (early, before 22weeks of gestation and, if normal, in the second part of pregnancy) at our department (2012–2016) were selected, resulting in four groups of women according to the presence of HIP and/or RFs, with a predefined composite endpoint (preeclampsia or large-for-gestational-age infant or shoulder dystocia).Results: Included were 4518 women: 23.5% had HIP and 71.1% had at least one RF. The distribution among our four groups was: HIP−/RF− (n =1144); HIP−/RF+ (n =2313); HIP+/RF− (n =163); and HIP+/RF+ (n =898). HIP was more frequent when RFs were present rather than absent (33.1% vs 15.4%, respectively; P <0.001). Incidence of the composite endpoint differed significantly (P <0.0001) across groups [HIP−/RF− 6.3%; HIP−/RF+ 13.2%; HIP+/RF− 8.6%; and HIP+/RF+ 17.1% (HIP effect: P <0.05; RF effect: P <0.001; interaction HIP * RF: P =0.94)] and significantly increased with the number of RFs (no RF: 6.3%, 1 RF: 10.8%, 2 RFs: 14.7%, 3 RFs: 28.0%, 4–5 RFs: 25.0%; P <0.0001).Conclusion: RFs are predictive of HIP, although 15.4% of women with HIP have no RFs. Also, irrespective of HIP status, RFs are predictive of HIP-related events, suggesting that overweight/obesity, the only modifiable RFs, could be targets of interventions to improve pregnancy prognosis. |
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| title_short |
Performance of a selective screening strategy for diagnosis of hyperglycaemia in pregnancy as defined by IADPSG/WHO criteria |
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| author2 |
Vicaut, E. Sandre-Banon, D. Gary, F. Pharisien, I. Portal, J.-J. Baudry, C. Cussac-Pillegand, C. Costeniuc, D. Valensi, P. Carbillon, L. |
| author2Str |
Vicaut, E. Sandre-Banon, D. Gary, F. Pharisien, I. Portal, J.-J. Baudry, C. Cussac-Pillegand, C. Costeniuc, D. Valensi, P. Carbillon, L. |
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| doi_str |
10.1016/j.diabet.2019.09.002 |
| up_date |
2024-07-06T23:44:41.724Z |
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