Clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data
Cerebral cavernous malformations (CCMs) can cause symptomatic intracranial haemorrhage (ICH), but the estimated risks are imprecise and predictors remain uncertain. We aimed to obtain precise estimates and predictors of the risk of ICH during untreated follow-up in an individual patient data meta-an...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Horne, Margaret A [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: Rejection and modeling of arsenate by nanofiltration: Contributions of convection, diffusion and electromigration to arsenic transport - Fang, Jun ELSEVIER, 2014transfer abstract, London |
|---|---|
| Übergeordnetes Werk: |
volume:15 ; year:2016 ; number:2 ; pages:166-173 ; extent:8 |
| Links: |
|---|
| DOI / URN: |
10.1016/S1474-4422(15)00303-8 |
|---|
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| 520 | |a Cerebral cavernous malformations (CCMs) can cause symptomatic intracranial haemorrhage (ICH), but the estimated risks are imprecise and predictors remain uncertain. We aimed to obtain precise estimates and predictors of the risk of ICH during untreated follow-up in an individual patient data meta-analysis. | ||
| 700 | 1 | |a Flemming, Kelly D |4 oth | |
| 700 | 1 | |a Su, I-Chang |4 oth | |
| 700 | 1 | |a Stapf, Christian |4 oth | |
| 700 | 1 | |a Jeon, Jin Pyeong |4 oth | |
| 700 | 1 | |a Li, Da |4 oth | |
| 700 | 1 | |a Maxwell, Susanne S |4 oth | |
| 700 | 1 | |a White, Philip |4 oth | |
| 700 | 1 | |a Christianson, Teresa J |4 oth | |
| 700 | 1 | |a Agid, Ronit |4 oth | |
| 700 | 1 | |a Cho, Won-Sang |4 oth | |
| 700 | 1 | |a Oh, Chang Wan |4 oth | |
| 700 | 1 | |a Wu, Zhen |4 oth | |
| 700 | 1 | |a Zhang, Jun-Ting |4 oth | |
| 700 | 1 | |a Kim, Jeong Eun |4 oth | |
| 700 | 1 | |a ter Brugge, Karel |4 oth | |
| 700 | 1 | |a Willinsky, Robert |4 oth | |
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10.1016/S1474-4422(15)00303-8 doi GBVA2016005000009.pica (DE-627)ELV035120746 (ELSEVIER)S1474-4422(15)00303-8 DE-627 ger DE-627 rakwb eng 610 610 DE-600 570 VZ 540 VZ 35.17 bkl 58.50 bkl 43.12 bkl Horne, Margaret A verfasserin aut Clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data 2016 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cerebral cavernous malformations (CCMs) can cause symptomatic intracranial haemorrhage (ICH), but the estimated risks are imprecise and predictors remain uncertain. We aimed to obtain precise estimates and predictors of the risk of ICH during untreated follow-up in an individual patient data meta-analysis. Flemming, Kelly D oth Su, I-Chang oth Stapf, Christian oth Jeon, Jin Pyeong oth Li, Da oth Maxwell, Susanne S oth White, Philip oth Christianson, Teresa J oth Agid, Ronit oth Cho, Won-Sang oth Oh, Chang Wan oth Wu, Zhen oth Zhang, Jun-Ting oth Kim, Jeong Eun oth ter Brugge, Karel oth Willinsky, Robert oth Brown, Robert D oth Murray, Gordon D oth Salman, Rustam Al-Shahi oth Enthalten in Lancet Publ. Group Fang, Jun ELSEVIER Rejection and modeling of arsenate by nanofiltration: Contributions of convection, diffusion and electromigration to arsenic transport 2014transfer abstract London (DE-627)ELV017537959 volume:15 year:2016 number:2 pages:166-173 extent:8 https://doi.org/10.1016/S1474-4422(15)00303-8 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_70 35.17 Katalyse VZ 58.50 Umwelttechnik: Allgemeines VZ 43.12 Umweltchemie VZ AR 15 2016 2 166-173 8 045F 610 |
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10.1016/S1474-4422(15)00303-8 doi GBVA2016005000009.pica (DE-627)ELV035120746 (ELSEVIER)S1474-4422(15)00303-8 DE-627 ger DE-627 rakwb eng 610 610 DE-600 570 VZ 540 VZ 35.17 bkl 58.50 bkl 43.12 bkl Horne, Margaret A verfasserin aut Clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data 2016 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cerebral cavernous malformations (CCMs) can cause symptomatic intracranial haemorrhage (ICH), but the estimated risks are imprecise and predictors remain uncertain. We aimed to obtain precise estimates and predictors of the risk of ICH during untreated follow-up in an individual patient data meta-analysis. Flemming, Kelly D oth Su, I-Chang oth Stapf, Christian oth Jeon, Jin Pyeong oth Li, Da oth Maxwell, Susanne S oth White, Philip oth Christianson, Teresa J oth Agid, Ronit oth Cho, Won-Sang oth Oh, Chang Wan oth Wu, Zhen oth Zhang, Jun-Ting oth Kim, Jeong Eun oth ter Brugge, Karel oth Willinsky, Robert oth Brown, Robert D oth Murray, Gordon D oth Salman, Rustam Al-Shahi oth Enthalten in Lancet Publ. Group Fang, Jun ELSEVIER Rejection and modeling of arsenate by nanofiltration: Contributions of convection, diffusion and electromigration to arsenic transport 2014transfer abstract London (DE-627)ELV017537959 volume:15 year:2016 number:2 pages:166-173 extent:8 https://doi.org/10.1016/S1474-4422(15)00303-8 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_70 35.17 Katalyse VZ 58.50 Umwelttechnik: Allgemeines VZ 43.12 Umweltchemie VZ AR 15 2016 2 166-173 8 045F 610 |
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Enthalten in Rejection and modeling of arsenate by nanofiltration: Contributions of convection, diffusion and electromigration to arsenic transport London volume:15 year:2016 number:2 pages:166-173 extent:8 |
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Rejection and modeling of arsenate by nanofiltration: Contributions of convection, diffusion and electromigration to arsenic transport |
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Rejection and modeling of arsenate by nanofiltration: Contributions of convection, diffusion and electromigration to arsenic transport |
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Clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data |
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Clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data |
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Horne, Margaret A |
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Rejection and modeling of arsenate by nanofiltration: Contributions of convection, diffusion and electromigration to arsenic transport |
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clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data |
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Clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data |
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Cerebral cavernous malformations (CCMs) can cause symptomatic intracranial haemorrhage (ICH), but the estimated risks are imprecise and predictors remain uncertain. We aimed to obtain precise estimates and predictors of the risk of ICH during untreated follow-up in an individual patient data meta-analysis. |
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Cerebral cavernous malformations (CCMs) can cause symptomatic intracranial haemorrhage (ICH), but the estimated risks are imprecise and predictors remain uncertain. We aimed to obtain precise estimates and predictors of the risk of ICH during untreated follow-up in an individual patient data meta-analysis. |
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Cerebral cavernous malformations (CCMs) can cause symptomatic intracranial haemorrhage (ICH), but the estimated risks are imprecise and predictors remain uncertain. We aimed to obtain precise estimates and predictors of the risk of ICH during untreated follow-up in an individual patient data meta-analysis. |
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Clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data |
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Flemming, Kelly D Su, I-Chang Stapf, Christian Jeon, Jin Pyeong Li, Da Maxwell, Susanne S White, Philip Christianson, Teresa J Agid, Ronit Cho, Won-Sang Oh, Chang Wan Wu, Zhen Zhang, Jun-Ting Kim, Jeong Eun ter Brugge, Karel Willinsky, Robert Brown, Robert D Murray, Gordon D Salman, Rustam Al-Shahi |
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