Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prognostic models for newly‐diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta‐analysis
Background: Chronic lymphocytic leukaemia (CLL) is the most common cancer of the lymphatic system in Western countries. Several clinical and biological factors for CLL have been identified. However, it remains unclear which of the available prognostic models combining those factors can be used in clinical practice to predict long‐term outcome in people newly‐diagnosed with CLL. Objectives: To identify, describe and appraise all prognostic models developed to predict overall survival (OS), progression‐free survival (PFS) or treatment‐free survival (TFS) in newly‐diagnosed (previously untreated) adults with CLL, and meta‐analyse their predictive performances. Search methods: We searched MEDLINE (from January 1950 to June 2019 via Ovid), Embase (from 1974 to June 2019) and registries of ongoing trials (to 5 March 2020) for development and validation studies of prognostic models for untreated adults with CLL. In addition, we screened the reference lists and citation indices of included studies. Selection criteria: We included all prognostic models developed for CLL which predict OS, PFS, or TFS, provided they combined prognostic factors known before treatment initiation, and any studies that tested the performance of these models in individuals other than the ones included in model development (i.e. 'external model validation studies'). We included studies of adults with confirmed B‐cell CLL who had not received treatment prior to the start of the study. We did not restrict the search based on study design. Data collection and analysis: We developed a data extraction form to collect information based on the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). Independent pairs of review authors screened references, extracted data and assessed risk of bias according to the Prediction model Risk Of Bias ASsessment Tool (PROBAST). For models that were externally validated at least three times, we aimed to perform a quantitative meta‐analysis of their ...
Prognostic models for newly‐diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta‐analysis
Background: Chronic lymphocytic leukaemia (CLL) is the most common cancer of the lymphatic system in Western countries. Several clinical and biological factors for CLL have been identified. However, it remains unclear which of the available prognostic models combining those factors can be used in clinical practice to predict long‐term outcome in people newly‐diagnosed with CLL. Objectives: To identify, describe and appraise all prognostic models developed to predict overall survival (OS), progression‐free survival (PFS) or treatment‐free survival (TFS) in newly‐diagnosed (previously untreated) adults with CLL, and meta‐analyse their predictive performances. Search methods: We searched MEDLINE (from January 1950 to June 2019 via Ovid), Embase (from 1974 to June 2019) and registries of ongoing trials (to 5 March 2020) for development and validation studies of prognostic models for untreated adults with CLL. In addition, we screened the reference lists and citation indices of included studies. Selection criteria: We included all prognostic models developed for CLL which predict OS, PFS, or TFS, provided they combined prognostic factors known before treatment initiation, and any studies that tested the performance of these models in individuals other than the ones included in model development (i.e. 'external model validation studies'). We included studies of adults with confirmed B‐cell CLL who had not received treatment prior to the start of the study. We did not restrict the search based on study design. Data collection and analysis: We developed a data extraction form to collect information based on the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). Independent pairs of review authors screened references, extracted data and assessed risk of bias according to the Prediction model Risk Of Bias ASsessment Tool (PROBAST). For models that were externally validated at least three times, we aimed to perform a quantitative meta‐analysis of their ...
Prognostic models for newly‐diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta‐analysis
Kreuzberger, N (Autor:in) / Damen, JA (Autor:in) / Trivella, M (Autor:in) / Estcourt, LJ (Autor:in) / Aldin, A (Autor:in) / Umlauff, L (Autor:in) / Vazquez-Montes, MD (Autor:in) / Wolff, R (Autor:in) / Moons, KG (Autor:in) / Monsef, I (Autor:in)
08.03.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
Residential exposure to pesticides and childhood leukaemia: A systematic review and meta-analysis
| Online Contents | 2011
| British Library Online Contents | 2016