Evidence map›Paper›PMID 35853682›Full record

ArticleBMJ evidence-based medicine2022

Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent.

Trisha Greenhalgh, David Fisman, Danielle J Cane, Matthew Oliver, Chandini Raina Macintyre

Abstract read
In one paragraph

Article 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 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Measures implemented in the school setting to contain the COVID-19 pandemic.The Cochrane database of systematic reviews · 2024
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Commentary: Without Values, Complexity is Reduced to Mathematics.Journal of evaluation in clinical practice · 2025
    Article
  13. Review
  14. Knowledge, attitudes and behaviours of evidence-informed practice in respiratory therapy: A cross-sectional survey.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2025
    Article
  15. Review
  16. Review
  17. Article
  18. Article
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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

5 authors.

Trisha GreenhalghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK trish.greenhalgh@phc.ox.ac.uk.ORCID http://orcid.org/0000-0003-2369-8088
David FismanDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Danielle J CaneCoalition for Healthcare Acquired Infection Reduction, Cambridge, Ontario, Canada.
Matthew OliverAssociation of Professional Engineers and Geoscientists, Edmonton, Alberta, Canada.ORCID http://orcid.org/0000-0002-7197-3032
Chandini Raina MacintyreThe Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence-based medicine (EBM's) traditional methods, especially randomised controlled trials (RCTs) and meta-analyses, along with risk-of-bias tools and checklists, have contributed significantly to the science of COVID-19. But these methods and tools were designed primarily to answer simple, focused questions in a stable context where yesterday's research can be mapped more or less unproblematically onto today's clinical and policy questions. They have significant limitations when extended to complex questions about a novel pathogen causing chaos across multiple sectors in a fast-changing global context. Non-pharmaceutical interventions which combine material artefacts, human behaviour, organisational directives, occupational health and safety, and the built environment are a case in point: EBM's experimental, intervention-focused, checklist-driven, effect-size-oriented and deductive approach has sometimes confused rather than informed debate. While RCTs are important, exclusion of other study designs and evidence sources has been particularly problematic in a context where rapid decision making is needed in order to save lives and protect health. It is time to bring in a wider range of evidence and a more pluralist approach to defining what counts as 'high-quality' evidence. We introduce some conceptual tools and quality frameworks from various fields involving what is known as mechanistic research, including complexity science, engineering and the social sciences. We propose that the tools and frameworks of mechanistic evidence, sometimes known as 'EBM+' when combined with traditional EBM, might be used to develop and evaluate the interdisciplinary evidence base needed to take us out of this protracted pandemic. Further articles in this series will apply pluralistic methods to specific research questions.

Indexed as

behavioral medicinebiomedical engineeringCOVID-19evidence-based practice

Identifiers

PMID35853682
PMCPMC9510422

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.