ArticleJAMA network open2023
Scoping Review of Published Oncology Meta-analyses in High-Impact Oncology Journals.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Meta-Analysis: The Holy Grail?Cardiovascular and interventional radiology · 2026Review
- Technology-enhanced practice competencies: scoping review and novel model development.Frontiers in digital health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Many meta-analyses have been conducted on a wide array of topics, and many of these have focused on treatment efficacy of drugs or bias in interventional studies on a specific topic. Objective: To examine the factors associated with having a positive study conclusion in meta-analyses in the field of oncology. Evidence Review: All meta-analyses published between January 1, 2018, and December 31, 2021, on 5 oncology journal websites were identified and study characteristics, study results, and information on study authors were abstracted. The meta-analysis authors' conclusions were coded as positive, negative, or equivocal, and each article subject matter was coded as one that could affect profits and marketing of a company. Whether an association existed between study characteristics and authors' conclusions was also examined. Findings: Database searches resulted in 3947 potential articles, of which 93 meta-analyses were included in this study. Of the 21 studies with author funding from industry, 17 studies (81.0%) reported favorable conclusions. Of the 9 studies that received industry funding, 7 (77.8%) reported favorable conclusions, and of the 63 studies that did not have author or study funding from industry, 30 (47.6%) reported favorable conclusions. Studies that were funded through nonindustry sources and authors who had no relevant conflict of interest had the lowest percentage of positive conclusions and the highest percentage of negative and equivocal conclusions compared with studies with other sources of potential conflict of interest. Conclusions and Relevance: In this cross-sectional study of meta-analyses published in oncology journals, multiple factors were associated with having a positive study conclusion, which suggests that future research should be performed to elucidate reasons for more favorable conclusions among studies with study or author industry funding.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.