Goldkuhle, Marius ORCID: 0000-0001-8747-6770, Hirsch, Caroline ORCID: 0000-0002-2011-1010, Iannizzi, Claire ORCID: 0000-0002-6130-5997, Zorger, Ana-Mihaela ORCID: 0000-0002-0493-9790, Bender, Ralf ORCID: 0000-0002-2422-4362, van Dalen, Elvira C., Hemkens, Lars G., Monsef, Ina ORCID: 0000-0002-7794-9383, Kreuzberger, Nina ORCID: 0000-0001-8922-0488 and Skoetz, Nicole ORCID: 0000-0003-4744-6192 (2024). Exploring the characteristics, methods and reporting of systematic reviews with meta-analyses of time-to-event outcomes: a meta-epidemiological study. BMC Medical Research Methodology, 24 (1). pp. 1-12. Springer Nature. ISSN 1471-2288

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Identification Number:10.1186/s12874-024-02401-4

Abstract

[Artikel-Nr.: 291] Background: Time-to-event analysis is associated with methodological complexities. Previous research identified flaws in the reporting of time-to-event analyses in randomized trial publications. These hardships impose challenges for meta-analyses of time-to-event outcomes based on aggregate data. We examined the characteristics, reporting and methods of systematic reviews including such analyses. Methods: Through a systematic search (02/2017-08/2020), we identified 50 Cochrane Reviews with ≥ 1 meta-analysis based on the hazard ratio (HR) and a corresponding random sample ( n = 50) from core clinical journals (Medline; 08/02/2021). Data was extracted in duplicate and included outcome definitions, general and time-to-event specific methods and handling of time-to-event relevant trial characteristics. Results: The included reviews analyzed 217 time-to-event outcomes (Median: 2; IQR 1–2), most frequently overall survival (41%). Outcome definitions were provided for less than half of time-to-event outcomes (48%). Few reviews specified general methods, e.g., included analysis types (intention-to-treat, per protocol) (35%) and adjustment of effect estimates (12%). Sources that review authors used for retrieval of time-to-event summary data from publications varied substantially. Most frequently reported were direct inclusion of HRs (64%) and reference to established guidance without further specification (46%). Study characteristics important to time-to-event analysis, such as variable follow-up, informative censoring or proportional hazards, were rarely reported. If presented, complementary absolute effect estimates calculated based on the pooled HR were incorrectly calculated (14%) or correct but falsely labeled (11%) in several reviews. Conclusions: Our findings indicate that limitations in reporting of trial time-to-event analyses translate to the review level as well. Inconsistent reporting of meta-analyses of time-to-event outcomes necessitates additional reporting standards.

Item Type: Article
Creators:
Creators
Email
ORCID
ORCID Put Code
Goldkuhle, Marius
UNSPECIFIED
UNSPECIFIED
Hirsch, Caroline
UNSPECIFIED
UNSPECIFIED
Iannizzi, Claire
UNSPECIFIED
UNSPECIFIED
Zorger, Ana-Mihaela
UNSPECIFIED
UNSPECIFIED
Bender, Ralf
UNSPECIFIED
UNSPECIFIED
van Dalen, Elvira C.
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Hemkens, Lars G.
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Monsef, Ina
UNSPECIFIED
UNSPECIFIED
Kreuzberger, Nina
UNSPECIFIED
UNSPECIFIED
Skoetz, Nicole
UNSPECIFIED
UNSPECIFIED
URN: urn:nbn:de:hbz:38-816075
Identification Number: 10.1186/s12874-024-02401-4
Journal or Publication Title: BMC Medical Research Methodology
Volume: 24
Number: 1
Page Range: pp. 1-12
Number of Pages: 12
Date: 25 November 2024
Publisher: Springer Nature
ISSN: 1471-2288
Language: English
Faculty: Faculty of Medicine
Divisions: Faculty of Medicine > Gesundheitsökonomie > Institut für Gesundheitsökonomie und Klinische Epidemiologie
Subjects: Medical sciences Medicine
Uncontrolled Keywords:
Keywords
Language
Systematic review ; Meta-analysis ; Time-to-event outcomes ; Survival analysis ; Reporting quality ; Quantitative analysis
English
['eprint_fieldname_oa_funders' not defined]: Publikationsfonds UzK
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/81607

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