Evidence mapPaperPMID 41249435Full record

ArticleScientific reports2025

Assessment of biomarkers associated with renal decline for prediction of incident distal sensory polyneuropathy in type 2 diabetes.

Kirsten Peters, Timothy M E Davis, Isabella A Joubert, Martin K Mead, Angelo Bautista, Wendy A Davis

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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

6 authors.

Kirsten PetersProteomics International, Perth, WA, Australia.
Timothy M E DavisMedical School, Fremantle Hospital, University of Western Australia, PO Box 480, Fremantle, WA, 6959, Australia. tim.davis@uwa.edu.au.
Isabella A JoubertProteomics International, Perth, WA, Australia.
Martin K MeadProteomics International, Perth, WA, Australia.
Angelo BautistaProteomics International, Perth, WA, Australia.
Wendy A DavisMedical School, Fremantle Hospital, University of Western Australia, PO Box 480, Fremantle, WA, 6959, Australia.

Funding

National Health and Medical Research Council 513781 and 1042231
6 · The paper itself

Abstract

The PromarkerD test accurately predicts diabetic kidney disease. We aimed to determine whether PromarkerD and/or its constituent biomarkers would also identify an increased risk of distal sensory polyneuropathy (DSPN) complicating type 2 diabetes (T2D). We selected 160 community-based adults without baseline DSPN (mean age 69 years, 56% males), 80 of whom were free of DSPN after four years and 80 who developed DSN based on the vibration perception threshold. Baseline plasma apolipoprotein A-IV (ApoA4), CD5 antigen-like protein (CD5L) and insulin-like growth factor binding protein 3 (IBP3) concentrations were measured and PromarkerD risk scores were generated. Logistic regression modelling assessed associations between PromarkerD risk and its component proteins and incident DSPN. At Year 4, 77 of 151 with valid data (51%) had developed DSPN. The PromarkerD area under the receiver operating characteristic curve was 0.53 (95% CI 0.43-0.62). The odds ratio for the PromarkerD score for identifying incident DSPN was 0.97 (95% CI 0.82-1.16, P = 0.76), with similar non-significant results for plasma ApoA4, CD5L, and IBP3. PromarkerD and its constituent protein concentrations, each with some preclinical or epidemiological evidence of an association with DSPN, did not predict incident DSPN over 4 years of follow-up. These data support microangiopathy-specific pathophysiological mechanisms in T2D.

Indexed as

BiomarkersDiabetes Mellitus, Type 2Diabetic NephropathiesDiabetic NeuropathiesAgedApolipoproteins AFemaleHumansIncidenceMaleMiddle Agedapolipoprotein A-IVApolipoproteins ABiomarkers

Identifiers

PMID41249435
PMCPMC12623500

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.