Evidence map›Paper›PMID 40118480›Full record

ArticleBMJ open2025

Differences in prevalence and risk factors of diabetic retinopathy among rural and urban residents with diabetes in South China: a cross-sectional study.

Baixiang Xiao, Fang Duan, Xuejun Gu, Jiahao Zuo, Ving Fai Chan, Gianni Virgili, Xiaojun Zhou, Carlos Price-Sanchez, Ling Jin, Yuanping Liu and 9 more

Abstract read
In one paragraph

Article in BMJ open, 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

19 authors.

Baixiang XiaoAffiliated Eye Hospital, Jiangxi Medical College, Nanchang University, Nanchang City, China.ORCID http://orcid.org/0000-0003-1987-4851
Fang DuanSun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China.
Xuejun GuAffiliated Eye Hospital, Jiangxi Medical College, Nanchang University, Nanchang City, China.
Jiahao ZuoSchool of Public Health, Nanchang University, Nanchang City, China.
Ving Fai ChanCenter for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-4968-7953
Gianni VirgiliCenter for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-9960-2989
Xiaojun ZhouSchool of Public Health, Nanchang University, Nanchang City, China.
Carlos Price-SanchezCenter for Public Health, Queen's University Belfast, Belfast, UK.
Ling JinSun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China.
Yuanping LiuSun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China.
Yanfang WangSun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China.
Yichun ZhongZhenjiang District People's Hospital, Shaoguan City, China.
Qinghua LiaoZhenjiang District People's Hospital, Shaoguan City, China.
Haoxiang FuZhenjiang District People's Hospital, Shaoguan City, China.
Yun HeSchool of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Dongfeng LiCenter for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-1246-4174
Ping XuORBIS International, New York City, New York, USA.
Jia LiORBIS International, New York City, New York, USA.
Nathan CongdonCenter for Public Health, Queen's University Belfast, Belfast, UK n.congdon@qub.ac.uk.ORCID http://orcid.org/0000-0001-9866-3416

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveTo determine the prevalence of diabetic retinopathy (DR) and associated risk factors among rural and urban people diagnosed with type 1 or type 2 diabetes mellitus (PwDM) in southern China.

designThis is a cross-sectional study.

settingThe study was conducted at primary health centres from 2 September to the end of December 2019.

participantsAll the 3646 PwDM being registered in Qujiang District, aged ≥18 years were informed, of whom 2677 attended the screening and were recruited. PRIMARY AND SECONDARY OUTCOME MEASURES: The presence of DR was determined by trained graders using criteria of the UK National Health Service Diabetic Eye Screening Programme. Multiple logistic regression analyses were used to assess potential risk factors for the presence of DR.

resultsThe mean age of the participants (73.4% of the 3646 invited people) was 63.4 years (SD 10.1 years), 1503 (56.2%) were female, 1749 (65.3%) were rural residents, 1654 (71.0%) participants had glycated haemoglobin (HbA1c)≥6.5%, 1773 (66.3%) had high blood pressure and the median duration of diabetes mellitus (DM) was <5 years. Although half (52.0%) of these participants had brief (<5 years) exposure to DM, 831 (31.3%, 95% CI: 29.3 to 32.8%) had DR, among whom 412 (49.6%) had sight-threatening DR. Men (33.1%) had a significantly higher prevalence of any DR than women (29.4%, p<0.05). There were no significant differences in DR prevalence at any level between rural and urban residents. In multivariate regression models, risk factors for any DR were HbA1c>6.5% (OR=1.58, p<0.01), using insulin and antihyperglycaemic medications (OR=1.76, p<0.01), longer duration of DM and higher systolic blood pressure (OR=1.01 for each mm Hg, p<0.01).

conclusionsThe high prevalence of DR, hyperglycaemia and high blood pressure highlight the need for better management of non-communicable diseases in China.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic RetinopathyRural PopulationUrban PopulationAdultAgedChinaCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleMiddle AgedPrevalenceRisk FactorsGlycated HemoglobinChinaDiabetic retinopathyMass ScreeningPrevalence

Identifiers

PMID40118480
PMCPMC11931899

What Socratic 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 Socratic graph.