Evidence map›Paper›PMID 40636713›Full record

ArticleFrontiers in endocrinology2025

Study on the prevalence of diabetic retinopathy in Pudong New Area and the predictive value of estimated glucose disposal rate: a cross-sectional study.

Jiaojiao Gao, Kang Wu, Xiaonan Wang, Zhitao Li, Xiaolin Liu, Jiahui Song, Yang Liu, Hua Qiu, Feng Wei, Qian Xu and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2025. 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. 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

13 authors.

Jiaojiao Gao *Shanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Kang Wu *Shanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Xiaonan WangShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Zhitao LiShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Xiaolin LiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Jiahui SongShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Yang LiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Hua QiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Feng WeiShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Qian XuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Shaotan XiaoShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Yi ZhouShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Xiaonan RuanShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the prevalence of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) in Pudong New Area, Shanghai, and to explore the association between estimated glucose disposal rate (eGDR) and DR, as well as the possibility of eGDR as a predictive marker. Methods: Field investigation was conducted among sampled patients with T2DM from May to September 2023. Fundus examination was performed by automatic mydriatless fundus camera to evaluate the prevalence of DR. Restricted cubic spline (RCS) function was employed to evaluate the dose-response relationship between eGDR and DR. Logistic regression analysis was performed to examine their association. Results: A total of 2,327 patients with T2DM completed the survey, with a median age of 69 years. The prevalence of DR in Pudong New Area was 7.39%, and RCS curve demonstrated a significant negative linear relationship between eGDR and DR. After controlling for confounding factors, the results of the logistics regression showed that the risk of DR decreased by 40.4% for every one standard deviation increase in eGDR. The area under the ROC curve for eGDR predicting DR was 0.777 and 0.781, indicating a high predictive value of eGDR for DR. Conclusion: There is a significant negative linear association between eGDR and the risk of DR, and eGDR is expected to serve as a target for DR prediction and intervention.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Diabetic RetinopathyAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsPrevalenceRisk FactorsBlood Glucosediabetic retinopathyestimated glucose disposal rateinsulin resistancepredictive valueprevalence

Identifiers

PMID40636713
PMCPMC12237653

What Socratic 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 Socratic graph.