Evidence map›Paper›PMID 40620524›Full record

ArticleChina CDC weekly2025

Development of 3-Year Risk Prediction Model for Type 2 Diabetes in Older Adults with Prediabetes - China, 2019-2022.

Xiujuan Zhang, Yunfan Li, Virginia Byers Kraus, Yonghui Wang, Xin Gao, Bowen Wang, Zhaoxue Yin

Abstract read
In one paragraph

Article in China CDC weekly, 2025. 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

7 authors.

Xiujuan Zhang *Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Yunfan Li *Chinese Center for Disease Control and Prevention, Beijing, China.
Virginia Byers KrausDuke University School of Medicine, Duke Molecular Physiology Institute, Durham, NC, USA.
Yonghui WangDepartment of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Xin GaoChinese Center for Disease Control and Prevention, Beijing, China.
Bowen WangChinese Center for Disease Control and Prevention, Beijing, China.
Zhaoxue YinChinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Prediabetes increases the risk of developing type 2 diabetes. Existing prediction models for incident diabetes from prediabetes have been primarily developed for the general adult population. What is added by this report?: This report introduces a prediction model for progression to diabetes from prediabetes, specifically for older adults, which includes age, exercise, waist circumference, baseline fasting plasma glucose (FPG) and triglyceride concentrations, systolic blood pressure, and dessert intake. What are the implications for public health practice?: The prediction model developed in this study can be used in older adults to identify high risk of progression from prediabetes, defined by FPG, to diabetes, thereby informing targeted interventions and avoiding unnecessary utilization of medical resources.

Indexed as

Fasting plasma glucoseOlder adultsPrediabetesRisk prediction model

Identifiers

PMID40620524
PMCPMC12227891

What OpenQuestion holds

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Registered trials

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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.