Evidence map›Paper›PMID 41180191›Full record

ArticleFrontiers in endocrinology2025

The ratio of extracellular water to total body water serves as a potential predictor of diabetic peripheral neuropathy in patients.

Lu Chen, Junli Zhang, Zhenghui Xu, Mengting Huang, Fei Hua, Yu Fu

Abstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Lu Chen *The Third Affiliated Hospital of Soochow University, Changzhou, China.
Junli Zhang *Department of Geriatrics, the First Affiliated Hospital of Soochow University, Suzhou, China.
Zhenghui XuThe Third Affiliated Hospital of Soochow University, Changzhou, China.
Mengting HuangThe Third Affiliated Hospital of Soochow University, Changzhou, China.
Fei HuaThe Third Affiliated Hospital of Soochow University, Changzhou, China.
Yu FuThe Third Affiliated Hospital of Soochow University, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic peripheral neuropathy (DPN), a common chronic complication of type 2 diabetes mellitus (T2DM), lacks simple biomarkers for early monitoring. This study aimed to explore the association between the ratio of extracellular water to total body water (ECW/TBW) and DPN. Methods: A total of 707 T2DM patients recruited from the Third Affiliated Hospital of Soochow University were included in this cross-sectional study. Multivariate logistic regression analyses were performed to assess the association between the ECW/TBW ratio and DPN after adjusting. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of the ECW/TBW ratio for DPN. Results: The risk of DPN is related significantly with ECW/TBW ratio by multivariate logistic regression analyses, especially the ECW/TBW ratio of arms, trunk, and legs. And the ECW/TBW ratio can not be a indicator to predict the DPN rick of whose BMI is above 28kg/m². Besides, adding the ECW/TBW ratio to the baseline model gained a positive change in the integrated discrimination improvement and continuous net reclassification improvement. The area under the curve (AUC) of ECW/TBW (AUC:0.678) was higher than that of Neutrophil-to-Lymphocyte Ratio (NLR, AUC:0.620) and Platelet-to-Lymphocyte Ratio (PLR, AUC:0.568). Conclusions: The ratio of ECW/TBW exhibits a potential predictive capacity for DPN and better than NLR and PLR in T2DM patients with BMI <28 kg/m².

Indexed as

Body WaterDiabetes Mellitus, Type 2Diabetic NeuropathiesExtracellular FluidAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrognosisROC CurveBiomarkersBIAdiabetic peripheral neuropathyearly predictive indicatorextracellular water/total body water ratiofluid balancetype 2 diabetes mellitus

Identifiers

PMID41180191
PMCPMC12575126

What Socratic 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 Socratic graph.