Evidence map›Paper›PMID 42616906›Full record

ArticleJournal of postgraduate medicine2026

8. Guard against statistical fallacies in medical research.

A Indrayan

Abstract read
In one paragraph

Article in Journal of postgraduate medicine, 2026. 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

1 author.

A IndrayanDepartment of Clinical Research, Max Healthcare, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractMedicine is a sensitive science as it deals with the life and health of people. A slight error can blow up into an enormous damage when invalid results are applied to the population at large. Thus, extreme care is required in conducting and reporting medical research studies. Since medical research is mostly empirical, variations and consequent uncertainties are integral part. Statistical fallacies occur when data and database research are knowingly or unknowingly poorly done or misreported. This article highlights such instances and illustrates commonly occurring fallacies in medical research. Proper design, collection of the right data on an adequate sample, immaculate analysis, and correct interpretation can minimize such fallacies and increase the credibility of research results.

Indexed as

Biomedical ResearchResearch DesignBiasData Interpretation, StatisticalHumansBiasescorrelationparadoxP valuesstatistical fallacies

Identifiers

PMID42616906
PMCPMC13557516

What OpenQuestion holds

Textmetadata
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.