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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s12874-024-02401-4.pdf Bereitstellung unter der CC-Lizenz: Creative Commons Attribution. Download (1MB) |
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 van Dalen, Elvira C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Hemkens, Lars G. UNSPECIFIED 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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https://orcid.org/0000-0001-8747-6770