Evidence map›Paper›PMID 34595241›Full record

ArticleJournal of diabetes research2021

Nomogram Prediction Model for Diabetic Retinopathy Development in Type 2 Diabetes Mellitus Patients: A Retrospective Cohort Study.

Xiaomei Chen, Qiying Xie, Xiaoxue Zhang, Qi Lv, Xin Liu, Huiying Rao

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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  13. Construction of Predictive Model for Type 2 Diabetic Retinopathy Based on Extreme Learning Machine.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
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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

6 authors at 1 institution in 1 country.

Xiaomei ChenDepartment of Ophthalmology, Fujian Provincial Hospital North Branch, Fujian Provincial Geriatric Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0001-5099-2990
Qiying XieDepartment of Ophthalmology, Fujian Provincial Hospital North Branch, Fujian Provincial Geriatric Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0001-8393-7736
Xiaoxue ZhangDepartment of Ophthalmology, Fujian Provincial Hospital North Branch, Fujian Provincial Geriatric Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0001-7316-0847
Qi LvDepartment of Ophthalmology, Fujian Provincial Hospital North Branch, Fujian Provincial Geriatric Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0002-7168-533X
Xin LiuDepartment of Ophthalmology, Fujian Provincial Hospital North Branch, Fujian Provincial Geriatric Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0001-7493-4867
Huiying RaoDepartment of Ophthalmology, Fujian Provincial Hospital North Branch, Fujian Provincial Geriatric Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0003-2431-3872
Fujian Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study is aimed at investigating the systemic risk factors of diabetic retinopathy and further establishing a risk prediction model for DR development in T2DM patients.

methodsThis is a retrospective cohort study including 330 type 2 diabetes mellitus (T2DM) patients who were followed up from December 2012 to November 2020. Multivariable cox regression analysis identifying factors associated with the hazard of developing diabetic retinopathy (DR) was used to construct the DR risk prediction model in the form of nomogram.

results50.6% of participants (mean age: 58.60 ± 10.55) were female, and mean duration of diabetes was 7.09 ± 5.36 years. After multivariate cox regression, the risk factors for developing DR were age (HR 1.068, 95%Cl 1.021-1.118,

conclusionCombining age, diabetes duration, HbA1c, albuminuria, and triglyceride, the nomogram model is effective for early recognition and intervention of individuals at high risk of DR development.

Indexed as

NomogramsAgedAlbuminuriaChinaDiabetes Mellitus, Type 2Diabetic RetinopathyFemaleGlycated HemoglobinHumansMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsRetrospective StudiesRisk FactorsGlycated Hemoglobin

Identifiers

PMID34595241
PMCPMC8478593
OpenAlexW3200500720

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.