Evidence map›Paper›PMID 42604264›Full record

ArticleCureus2026

The Accuracy of the I2 Statistic for Detecting Baseline Imbalances and Selection Bias in Randomized Controlled Trials: A Simulation Study.

Steffen Mickenautsch, Veerasamy Yengopal

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

aimTo assess the accuracy of the I

methodsFifty non-biased and 50 biased trials set at 40% selection bias severity were simulated in MS Excel (Microsoft Corporation, Redmond, Washington, USA). All trials were tested using statistical significance testing and the I

resultsI

conclusionThe I

Indexed as

bias testi2 testreview of clinical trialsselection biassystematic review and meta analysis

Identifiers

PMID42604264
PMCPMC13476859

What OpenQuestion holds

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LicenceCC BY
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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.