Evidence map›Paper›PMID 42124011›Full record

ArticleNutrients2026

Optimizing Public Health Screening: Population-Specific BMI Thresholds for Targeted Body Composition Assessment in Hungary.

Tamas Jarecsny, Nadim Al-Muhanna, Dora Rebeka Fabian, Roland Kosik, Richard Schwab, Gergo Jozsef Szollosi, Laszlo Schandl, Gyula Tomasics, Eszter Melinda Pazmandi, Andras Folyovich and 2 more

Abstract read
In one paragraph

Article in Nutrients, 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. Review
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

12 authors.

Tamas JarecsnyDepartment of Neurology and Stroke, Saint John's Central Hospital of North Buda, 1125 Budapest, Hungary.ORCID 0000-0002-8419-5292
Nadim Al-MuhannaDepartment of Neurology and Stroke, Saint John's Central Hospital of North Buda, 1125 Budapest, Hungary.
Dora Rebeka FabianDepartment of Neurology and Stroke, Saint John's Central Hospital of North Buda, 1125 Budapest, Hungary.
Roland KosikNational Public Health and Pharmaceutical Center, 1097 Budapest, Hungary.
Richard SchwabMiND Brain-Gut Center, 1125 Budapest, Hungary.
Gergo Jozsef SzollosiFaculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-4126-0058
Laszlo SchandlDepartment of Internal Medicine-Diabetology, Saint John's Central Hospital of North Buda, 1125 Budapest, Hungary.
Gyula TomasicsDepartment of Internal Medicine-Diabetology, Saint John's Central Hospital of North Buda, 1125 Budapest, Hungary.
Eszter Melinda PazmandiDoctoral School, Semmelweis University, 1085 Budapest, Hungary.ORCID 0000-0002-0634-4002
Andras FolyovichKútvölgyi Outpatient Clinic, Saint John's Central Hospital of North Buda, 1125 Budapest, Hungary.ORCID 0000-0002-2686-0610
Ferenc FazekasDepartment of Neurology and Stroke, Saint John's Central Hospital of North Buda, 1125 Budapest, Hungary.
Monika FeketeInstitute of Preventive Medicine and Public Health Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary.ORCID 0000-0001-8632-2120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Body CompositionBody Mass IndexMass ScreeningPublic HealthAdultAgedCardiometabolic Risk FactorsCardiovascular DiseasesCost-Benefit AnalysisCross-Sectional StudiesElectric ImpedanceFemaleHumansHungaryMaleMiddle Agedbody compositionbody mass indexcardiometabolic riskcost-effectivenessnutritional statusprecision preventionpublic health screeningscreening strategy

Identifiers

PMID42124011
PMCPMC13165000

What OpenQuestion holds

Textmetadata
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.