Evidence map›Paper›PMID 40474776›Full record

ArticlePhysiological reports2025

The combined impact of chronic kidney disease and ulcer severity on incident cardiovascular events in patients with diabetes-related foot ulceration.

Nick S R Lan, Jonathan Hiew, Ivana Ferreira, J Carsten Ritter, Laurens Manning, P Gerry Fegan, Emma J Hamilton, Girish Dwivedi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

8 authors.

Nick S R LanCentre of Excellence for Cardiometabolic Health, Fiona Stanley Hospital, Perth, Australia.ORCID https://orcid.org/0000-0002-7222-7314
Jonathan HiewCentre of Excellence Multidisciplinary Diabetes Foot Ulcer Service, Fiona Stanley and Fremantle Hospitals Group, Perth, Australia.
Ivana FerreiraCentre of Excellence Multidisciplinary Diabetes Foot Ulcer Service, Fiona Stanley and Fremantle Hospitals Group, Perth, Australia.
J Carsten RitterCentre of Excellence Multidisciplinary Diabetes Foot Ulcer Service, Fiona Stanley and Fremantle Hospitals Group, Perth, Australia.
Laurens ManningMedical School, The University of Western Australia, Perth, Australia.
P Gerry FeganMedical School, Curtin University, Perth, Australia.
Emma J HamiltonMedical School, The University of Western Australia, Perth, Australia.
Girish DwivediCentre of Excellence for Cardiometabolic Health, Fiona Stanley Hospital, Perth, Australia.ORCID https://orcid.org/0000-0003-0717-740X

Funding

Western Australian Future Health Research and Innovation Fund
6 · The paper itself

Abstract

In patients with diabetes-related foot ulceration (DFU), ulcer severity and chronic kidney disease (CKD) portend worse outcomes. We evaluated the combined impact of a severe ulcer with CKD on major adverse cardiovascular events (MACE) in patients with DFU. Ulcer severity was defined using the SINBAD (site, ischaemia, neuropathy, bacterial infection, area, depth) classification, dividing into low (1-3) or high (4-6). CKD was defined as an estimated glomerular filtration rate <60 mL/min/1.73 m

Indexed as

Cardiovascular DiseasesDiabetic FootRenal Insufficiency, ChronicAgedFemaleHumansIncidenceMaleMiddle AgedSeverity of Illness Indexcardiovascular diseaseschronic kidney diseasecoronary artery diseasediabetesfoot ulcermyocardial infarction

Identifiers

PMID40474776
PMCPMC12141929

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.