Evidence map›Paper›PMID 42633697›Full record

ReviewJournal of evaluation in clinical practice2026

Sometimes Less Is More: On Sample Size in Medical Research.

Abhaya Indrayan, Ashok Kumar Saxena, Rajeev Kumar Malhotra

Abstract readReview
In one paragraph

Review in Journal of evaluation in clinical practice, 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

3 authors.

Abhaya IndrayanMax Healthcare, New Delhi, India.ORCID 0000-0002-5940-9666
Ashok Kumar SaxenaUniversity College of Medical Sciences, Delhi, India.
Rajeev Kumar MalhotraAll India Institute of Medical Sciences, Delhi, India.ORCID 0000-0002-2249-7754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large samples have well-known merits in empirical research where multiple factors are at work, some beyond control. Large samples also provide a precise estimate of the effect size, although they produce results for groups and not for individuals. Nonetheless, there are situations where intensive, in-depth, study of a few may be rewarding, particularly in medical research that focuses on basic mechanism rather than treatment effect. With extreme care, logical structure, advanced tools, and rigorous reasoning, many sources of variability can be minimized or eliminated. Thus, small samples tend to foster brilliance by focusing on improved decision making. Reduced cost, faster completion, and clinically relevant effect sizes are among other advantages. Many successful studies have been done on small samples. These merits of small sample studies in certain types of medical research deserve serious consideration.

Indexed as

Biomedical ResearchResearch DesignHumansSample Sizefostering brilliancein‐depth studysmall samplesstatistical significance

Identifiers

PMID42633697
PMCPMC13500102

What Socratic 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 Socratic graph.