Evidence map›Paper›PMID 40296959›Full record

ReviewCureus2025

Deductive Falsification Instead of Inductive Verification As Logical Basis for the Critical Appraisal of Randomised Controlled Trials.

Steffen Mickenautsch, Veerasamy Yengopal

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Steffen MickenautschFaculty of Dentistry, University of the Western Cape, Cape Town, ZAF.
Veerasamy YengopalFaculty of Dentistry, University of the Western Cape, Cape Town, ZAF.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomised controlled trials (RCTs) aim to rigorously examine the cause-and-effect relationship between disease treatment and its clinical outcome. The success of this endeavour depends on the absence of errors in the applied RCT methodology. To identify potential errors, RCTs undergo critical appraisal using trial appraisal tools. Currently, the most recommended tool for assessing the risk of systematic error (bias) in RCTs is the second version of Cochrane's Risk of Bias tool (RoB 2; Cochrane, London). This review shows that the application of the RoB 2 tool is based on inductive verificationist reasoning, which leads to invalid circular inferences or a lack of justification for RCT result validity. More importantly, inductive verification also allows formal logical justification that RCTs with an overall 'low risk of bias' rating do not require critical re-appraisal in the future. This poses a practical risk, preventing the re-appraisal of high-bias risk RCTs that were erroneously rated as 'low risk of bias' in the past and allowing the conclusions of such RCTs to continue guiding clinical practice. In contrast, deductive falsificationist reasoning is free from these shortcomings and may provide a more robust logical basis for the critical appraisal of RCTs. Classical critique of deductive falsification is insufficient for dismissing it as a basis for RCT appraisal.

Indexed as

bias identificationclinical trial appraisalcritical reasoningrandomised clinical trialsystematic review and meta analysis

Identifiers

PMID40296959
PMCPMC12035575

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.