Evidence map›Paper›PMID 31486837›Full record

ArticleJAMA oncology2019

Evaluation of Reproducible Research Practices in Oncology Systematic Reviews With Meta-analyses Referenced by National Comprehensive Cancer Network Guidelines.

Cole Wayant, Matthew J Page, Matt Vassar

Abstract read
In one paragraph

Article in JAMA oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Cole WayantDepartment of Biomedical Sciences, Oklahoma State University Center for Health Sciences, Tulsa.
Matthew J PageSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Matt VassarDepartment of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceReproducible research practices are essential to biomedical research because these practices promote trustworthy evidence. In systematic reviews and meta-analyses, reproducible research practices ensure that summary effects used to guide patient care are stable and trustworthy.

objectiveTo evaluate the reproducibility in theory of meta-analyses in oncology systematic reviews cited by the 49 National Comprehensive Cancer Network (NCCN) guidelines for the treatment of cancer by site and evaluate whether Cochrane reviews or systematic reviews that report adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines use more reproducible research practices. DESIGN, SETTING, AND

participantsA cross-sectional investigation of all systematic reviews with at least 1 meta-analysis and at least 1 included randomized clinical trial (RCT) that are cited by NCCN guidelines for treatment of cancer by site. We scanned the reference list of all NCCN guidelines (n = 49) for potential systematic reviews and meta-analyses. All retrieved studies were screened, and data were extracted, independently and in duplicate. The analysis was carried out between May 6, 2018, and January 28, 2019. MAIN OUTCOMES AND MEASURES: The frequency of reproducible research practices, defined as (1) effect estimate and measure of precision (eg, hazard ratio with 95% confidence interval); (2) clear list of studies included for each analysis; and (3) for subgroup and sensitivity analyses, it must be clear which studies were included in each group or level.

resultsWe identified 1124 potential systematic reviews, and 154 meta-analyses comprising 3696 meta-analytic effect size estimates were included. Only 2375 of the 3696 meta-analytic estimates (64.3%), including subgroup and sensitivity analyses, were reproducible in theory. Forest plots appear to improve the reproducibility of meta-analyses. All meta-analytic estimates were reproducible in theory in 100 systematic reviews (64.9%), and in 15 systematic reviews (9.7%), no meta-analytic estimates could potentially be reproduced. Data were said to be imputed in 29 meta-analyses, but none specified which data. Only 1 meta-analysis included a link to an online data set. CONCLUSIONS AND RELEVANCE: More reproducible research practices are needed in oncology meta-analyses, as suggested by those that are cited by the NCCN. Reporting meta-analyses in forest plots and requirements for full data sharing are recommended.

Identifiers

PMID31486837
PMCPMC6735674

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.