Evidence map›Paper›PMID 39917115›Full record

ArticleCureus2025

The Limits of Inductive Reasoning for Clinical Evidence Appraisal: A Simulation Study.

Steffen Mickenautsch, Veerasamy Yengopal

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

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

Background To establish the possible likelihood of a body of evidence, inductively judged to be of 'low bias risk'/'high-quality' according to a limited set of appraisal criteria, of actually being error-free. Methods A total of 45 simulation trials were generated and randomly assigned to 0-5 errors out of a total of 65 error domains. The trials were then appraised for errors with a simulated appraisal tool consisting of five pre-specified error domains. Trial appraisal yielded either true positive, true negative, false negative or false positive results. From these values, the negative likelihood ratio (-LR) with 95% confidence interval (CI) was computed. -LR computation was repeated 25 times, each with newly generated random values for all 45 trials. The individual results of all 25 runs were statistically pooled. The pooled -LR result with 95% CI was interpreted as how likely a 'low bias risk'/'high-quality' rated body of evidence is actually error-free. Results The pooled -LR was 0.84 (95% CI: 0.80 - 0.88, I

Indexed as

clinical trialerrorinductive reasoningsimulation studytrial appraisal

Identifiers

PMID39917115
PMCPMC11799697

What OpenQuestion holds

Textmetadata
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.