ReviewBMJ evidence-based medicine2022
Characteristics, quality and volume of the first 5 months of the COVID-19 evidence synthesis infodemic: a meta-research study.
Review in BMJ evidence-based medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 6 of them syntheses that pooled 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.
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
31 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Barriers and facilitators to knowledge translation at the science-policy interface during the COVID-19 pandemic public health emergency: a rapid review and theoretical analysis to inform development of a logic model.BMC public health · 2026Pooled it
- Risk of bias and certainty of evidence on the association between obesity and mortality in patients with SARS-COV-2: An umbrella review of meta-analyses.Clinical nutrition ESPEN · 2023Pooled it
- Three out of four published systematic reviews on COVID-19 treatments were not registered and one-third of those registered were published: a meta-research study.Journal of clinical epidemiology · 2022Pooled it
- Changing patterns in reporting and sharing of review data in systematic reviews with meta-analysis of the effects of interventions: cross sectional meta-research study.BMJ (Clinical research ed.) · 2022Pooled it
- Systematic reviews of convalescent plasma in COVID-19 continue to be poorly conducted and reported: a systematic review.Journal of clinical epidemiology · 2022Pooled it
- Infodemics and health misinformation: a systematic review of reviews.Bulletin of the World Health Organization · 2022Pooled it
- Exploring duplication in reviews of Long COVID: 2020-2023.Systematic reviews · 2026Article
- Informed decisions about public health and social measures.Health research policy and systems · 2025Review
- Risk of bias and low reproducibility in meta-analytic evidence from fast-tracked publications during the coronavirus disease 2019 pandemic.PNAS nexus · 2025Article
- Why is it important to implement meta-research in universities and institutes with medical research activities?Frontiers in research metrics and analytics · 2025Article
- Article
- What is the volume, quality and characteristics of evidence relating to the effectiveness and cost-effectiveness of multi-disciplinary occupational health interventions aiming to improve work-related outcomes for employed adults? An evidence and gap map of systematic reviews.Campbell systematic reviews · 2024Article
- The quality of COVID-19 systematic reviews during the coronavirus 2019 pandemic: an exploratory comparison.Systematic reviews · 2024Article
- Article
- Slow data public health.European journal of epidemiology · 2023Article
- Is a one-size-fits-all '12-month rule' appropriate when it comes to the last search date in systematic reviews?BMJ evidence-based medicine · 2023Article
- Completeness and consistency of primary outcome reporting in COVID-19 publications in the early pandemic phase: a descriptive study.BMC medical research methodology · 2023Article
- Are COVID-19 systematic reviews up to date and can we tell? A cross-sectional study.Systematic reviews · 2023Article
- Searching for evidence in public health emergencies: a white paper of best practices.Journal of the Medical Library Association : JMLA · 2023Article
- Systematic literature reviews over the years.Journal of market access & health policy · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe academic and scientific community has reacted at pace to gather evidence to help and inform about COVID-19. Concerns have been raised about the quality of this evidence. The aim of this review was to map the nature, scope and quality of evidence syntheses on COVID-19 and to explore the relationship between review quality and the extent of researcher, policy and media interest. DESIGN AND
settingA meta-research: systematic review of reviews. INFORMATION SOURCES: PubMed, Epistemonikos COVID-19 evidence, the Cochrane Library of Systematic Reviews, the Cochrane COVID-19 Study Register, EMBASE, CINAHL, Web of Science Core Collection and the WHO COVID-19 database, searched between 10 June 2020 and 15 June 2020. ELIGIBILITY CRITERIA: Any peer-reviewed article reported as a systematic review, rapid review, overview, meta-analysis or qualitative evidence synthesis in the title or abstract addressing a research question relating to COVID-19. Articles described as meta-analyses but not undertaken as part of a systematic or rapid review were excluded. STUDY SELECTION AND DATA EXTRACTION: Abstract and full text screening were undertaken by two independent reviewers. Descriptive information on review type, purpose, population, size, citation and attention metrics were extracted along with whether the review met the definition of a systematic review according to six key methodological criteria. For those meeting all criteria, additional data on methods and publication metrics were extracted. RISK OF BIAS: For articles meeting all six criteria required to meet the definition of a systematic review, AMSTAR-2 ((A MeaSurement Tool to Assess systematic Reviews, version 2.0) was used to assess the quality of the reported methods.
results2334 articles were screened, resulting in 280 reviews being included: 232 systematic reviews, 46 rapid reviews and 2 overviews. Less than half reported undertaking critical appraisal and a third had no reproducible search strategy. There was considerable overlap in topics, with discordant findings. Eighty-eight of the 280 reviews met all six systematic review criteria. Of these, just 3 were rated as of moderate or high quality on AMSTAR-2, with the majority having critical flaws: only a third reported registering a protocol, and less than one in five searched named COVID-19 databases. Review conduct and publication were rapid, with 52 of the 88 systematic reviews reported as being conducted within 3 weeks, and a half published within 3 weeks of submission. Researcher and media interest, as measured by altmetrics and citations, was high, and was not correlated with quality. DISCUSSION: This meta-research of early published COVID-19 evidence syntheses found low-quality reviews being published at pace, often with short publication turnarounds. Despite being of low quality and many lacking robust methods, the reviews received substantial attention across both academic and public platforms, and the attention was not related to the quality of review methods.
interpretationFlaws in systematic review methods limit the validity of a review and the generalisability of its findings. Yet, by being reported as 'systematic reviews', many readers may well regard them as high-quality evidence, irrespective of the actual methods undertaken. The challenge especially in times such as this pandemic is to provide indications of trustworthiness in evidence that is available in 'real time'. PROSPERO REGISTRATION NUMBER: CRD42020188822.
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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.