Evidence map›Paper›PMID 40395403›Full record

ArticleJournal of diabetes and metabolic disorders2025

Comprehensive risk analysis of diabetic peripheral neuropathy in type II diabetes mellitus.

Alex Contesa, Hema Malini, Dally Rahman

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 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

3 authors.

Alex ContesaGraduate Student Program, Faculty of Nursing, Universitas Andalas, Kampus Unand Limau Manis, Padang, West Sumatra 25163 Indonesia.
Hema MaliniMedical Surgical Nursing Department, Faculty of Nursing, Universitas Andalas, Kampus Unand Limau Manis, Padang, West Sumatra 25163 Indonesia.ORCID 0000-0002-3224-5657
Dally RahmanMedical Surgical Nursing Department, Faculty of Nursing, Universitas Andalas, Kampus Unand Limau Manis, Padang, West Sumatra 25163 Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Type II diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia resulting from impaired insulin secretion, action, or both. Diabetic peripheral neuropathy is among the most common complications of disease, with its incidence linked to various risk factors. This study aims to evaluate the risk factors associated with peripheral neuropathy among patients with Diabetes Mellitus in Padang City. Method: Using a descriptive, cross-sectional design with stratified random sampling, 390 T2DM patients were assessed. Research instruments included the Global Physical Activity Questionnaire, the Patient Health Questionnaire-9, and the Michigan Neuropathy Screening Instrument. Data analysis employed chi-square tests and multiple logistic regression. Results: The findings revealed significant associations between Diabetic peripheral neuropathy and factors such as diabetes duration, socioeconomic status, smoking, glycemic control, dyslipidemia, physical activity, and depressive symptoms ( Conclusion: This study emphasizes the importance of early detection through routine screening and regular follow-up care. Targeting modifiable risk factors through health education and improved disease management strategies could significantly reduce the burden of Diabetic peripheral neuropathy among Type 2 Diabetes Mellitus patients.

Indexed as

Diabetic peripheral neuropathyPrevalencePreventionRisk factorsType 2 diabetes mellitus

Identifiers

PMID40395403
PMCPMC12086126

What OpenQuestion holds

Textmetadata
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.