Evidence map›Paper›PMID 37361520›Full record

Observational studyFrontiers in endocrinology2023

Waist-corrected BMI predicts incident diabetes mellitus in a population-based observational cohort study.

Nana Wang, Yuying Li, Chuanji Guo

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2023. 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
0.9field-weighted citation impact, top 27% of its field
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, 5 citations in OpenAlex.

  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

3 authors at 2 institutions in 1 country.

Nana WangEndocrinology Department, Shengjing Hospital of China Medical University, Shenyang, China.
Yuying LiHealth Commission of Tacheng Area, Tacheng, China.
Chuanji GuoDepartment of Hospital Administration Office, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CNHealth Commission of Anhui Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Waist-corrected body mass index (wBMI), which combines BMI and waist circumference (WC) measurements, has proven superior to either measure alone for predicting obesity but has not yet been applied to the prediction of diabetes mellitus (DM). Methods: Over a 5-year period, 305,499 subjects were eligible for this study based on citizen health check-ups in the Tacheng Area of northwest China. Diagnosis of DM was defined as the end point. Results: After exclusion, a total of 111,851 subjects were included in the training cohort and 47,906 in the validation cohort. Participants of both sexes with wBMI in the upper quartiles had significantly higher incidence of DM than those with wBMI in the lower quartiles (log-rank χ Discussion: This study provides a reference for advanced investigation of wBMI on DM and other metabolic diseases in the future.

Indexed as

Diabetes Mellitus, Type 2Body Mass IndexCohort StudiesFemaleHumansMaleObesityWaist Circumferencebody mass indexdiabetes mellituswaist circumferencewaist-corrected body mass indexwaist-to-height ratio

Identifiers

PMID37361520
PMCPMC10290140
OpenAlexW4380086858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.