Evidence map›Paper›PMID 42478255›Full record

ReviewJournal of Korean medical science2026

Statistical Competence and Editorial Policies in Biomedical Publications.

Olena Zimba, Aizhan Oralbek, Maidan Mukhamediyarov, Marlen Yessirkepov, Burhan Fatih Kocyigit

Abstract readReview
In one paragraph

Review in Journal of Korean medical science, 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

5 authors.

Olena ZimbaDepartment of Rheumatology, Immunology and Internal Medicine, University Hospital in Kraków, Kraków, Poland.ORCID https://orcid.org/0000-0002-4188-8486
Aizhan OralbekDepartment of Social Health Insurance and Public Health, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.ORCID https://orcid.org/0009-0003-2616-4660
Maidan MukhamediyarovDepartment of Chemical Disciplines, Biology and Biochemistry, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.ORCID https://orcid.org/0000-0003-0153-3741
Marlen YessirkepovDepartment of Chemical Disciplines, Biology and Biochemistry, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.ORCID https://orcid.org/0000-0003-2511-6918
Burhan Fatih KocyigitDepartment of Physical Medicine and Rehabilitation, University of Health Sciences, Adana City Research and Training Hospital, Adana, Türkiye. bfk2701@hotmail.com.ORCID https://orcid.org/0000-0002-6065-8002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Misuse of statistical methods in biomedical research remains widespread, undermining scientific integrity and public health. Flawed analyses can lead to misleading clinical guidelines, unnecessary treatments, or concealment of true treatment effects. Statistical errors often result from a structural training gap that affects the research process from study design to reporting, rather than from individual incompetence. Authors should be able to select appropriate measures of central tendency based on the data distribution, apply parametric and nonparametric tests correctly, use regression analyses with attention to statistical power and collinearity, and interpret

Indexed as

Biomedical ResearchEditorial PoliciesHumansSoftwareArtificial IntelligenceBiostatisticsData Interpretation, StatisticalEditorial PoliciesPeer ReviewPeriodicals as TopicRetraction of Publication

Identifiers

PMID42478255
PMCPMC13387846

What OpenQuestion holds

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LicenceCC BY-NC
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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.