Evidence map›Paper›PMID 26341114›Full record

ReviewTrials2015

Randomised trials in context: practical problems and social aspects of evidence-based medicine and policy.

Warren Pearce, Sujatha Raman, Andrew Turner

Abstract readReview
In one paragraph

Review in Trials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Autogenous teeth used for bone grafting: A systematic review.Medicina oral, patologia oral y cirugia bucal · 2018
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Shaken not stirred: Big data meets randomized controlled trial.Medical journal, Armed Forces India · 2021
    Article
  7. Canadian family physician Medecin de famille canadien · 2021
    Article
  8. Getting standardization right.Canadian family physician Medecin de famille canadien · 2021
    Article
  9. Review
  10. Article
  11. Information-Based Medicine in Glioma Patients: A Clinical Perspective.Computational and mathematical methods in medicine · 2018
    Review
  12. Expanding the knowledge translation metaphor.Health research policy and systems · 2017
    Article
  13. Article
  14. Whose evidence do we follow?Indian journal of urology : IJU : journal of the Urological Society of India
    Article
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.

Warren PearceInstitute for Science and Society, School of Sociology and Social Policy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK. warren.pearce@nottingham.ac.uk.
Sujatha RamanInstitute for Science and Society, School of Sociology and Social Policy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK. sujatha.raman@nottingham.ac.uk.
Andrew TurnerData to Knowledge Research Group, School of Social and Community Medicine, Oakfield House, University of Bristol, Oakfield Grove, Clifton, BS8 2BN, UK. andrew.turner@bristol.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomised trials can provide excellent evidence of treatment benefit in medicine. Over the last 50 years, they have been cemented in the regulatory requirements for the approval of new treatments. Randomised trials make up a large and seemingly high-quality proportion of the medical evidence-base. However, it has also been acknowledged that a distorted evidence-base places a severe limitation on the practice of evidence-based medicine (EBM). We describe four important ways in which the evidence from randomised trials is limited or partial: the problem of applying results, the problem of bias in the conduct of randomised trials, the problem of conducting the wrong trials and the problem of conducting the right trials the wrong way. These problems are not intrinsic to the method of randomised trials or the EBM philosophy of evidence; nevertheless, they are genuine problems that undermine the evidence that randomised trials provide for decision-making and therefore undermine EBM in practice. Finally, we discuss the social dimensions of these problems and how they highlight the indispensable role of judgement when generating and using evidence for medicine. This is the paradox of randomised trial evidence: the trials open up expert judgment to scrutiny, but this scrutiny in turn requires further expertise.

Indexed as

Evidence-Based MedicineHealth PolicyPolicy MakingResearch DesignBiasData Interpretation, StatisticalHumansRandomized Controlled Trials as Topic

Identifiers

PMID26341114
PMCPMC4560875

What OpenQuestion holds

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LicenceCC BY
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.