Evidence map›Paper›PMID 39286297›Full record

ArticleMetabolism open2024

Identification of phase angle and Triglyceride-Glucose index as biomarkers for prediction and management of diabetic foot disease.

E Soler Climent, L Lledó Rico, M García Poblet, I Sospedra, I Junquera-Godoy, J L Martinez-De-Juan, J Gomis-Tena, J Saiz, G Prats-Boluda, R Santoyo Pérez

Abstract read
In one paragraph

Article in Metabolism open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

E Soler ClimentResearch and Innovation Area. Health Department Elche General Hospital, Elche, Alicante, Spain.
L Lledó RicoResearch and Innovation Area. Health Department Elche General Hospital, Elche, Alicante, Spain.
M García PobletApplied Dietetics, Nutrition and Body Composition Research Group (DANuC), Faculty of Health Sciences, University of Alicante, Spain.
I SospedraApplied Dietetics, Nutrition and Body Composition Research Group (DANuC), Faculty of Health Sciences, University of Alicante, Spain.
I Junquera-GodoyCentro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Poltècnica de València, Valencia, Spain.
J L Martinez-De-JuanCentro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Poltècnica de València, Valencia, Spain.
J Gomis-TenaCentro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Poltècnica de València, Valencia, Spain.
J SaizCentro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Poltècnica de València, Valencia, Spain.
G Prats-BoludaCentro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Poltècnica de València, Valencia, Spain.
R Santoyo PérezFISABIO, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Approximately 25 % of diabetic patients develop diabetic foot ulcers (DFUs), significantly increasing morbidity, mortality, and healthcare costs. Effective control and prevention are crucial. Objective: This study aims to identify easily measurable parameters for predicting DFU risk by assessing the correlation between Phase Angle (PA) and the Triglyceride-Glucose (TyG) index with DFU risk. Materials and methods: A comparative case-control study was conducted at the General Hospital of Elche from March to June 2023 with 70 participants (33 with diabetes, 37 without). Cases had diabetes for over five years and a diabetic foot risk grade of 0, 1, or 2 (IWGDF 2019). Exclusion criteria included inability to walk, prior use of orthoses, and severe complications like edema or wounds. Predictive variables were PA, TyG index, body composition, and biochemical markers. Statistical analyses included Pearson/Spearman tests for correlations, Student's t-test/Mann-Whitney test for group comparisons, and ANOVA/Kruskal-Wallis tests for normally and non-normally distributed variables. Results: PAand TyG index were strongly linked to diabetic foot risk, supporting their potential as biomarkers. Significant relationships with other relevant biomarkers were also confirmed. Conclusion: PA and TyG index are valuable, easily measurable biomarkers for assessing diabetic foot risk, and can be monitored in primary care settings. Implementing these biomarkers in routine practice could enhance the management of diabetic complications, particularly in resource-limited settings, by enabling early detection and intervention, thus improving patient outcomes and reducing the burden of advanced complications.

Indexed as

AmputationBiomarkersChronic ulcerDiabetes management. insulin resistanceDiabeticDiabetic footFoot ulcerGlycemic controlHyperglycemiaInflammatory markersNeuropathyPeripheral arterial diseasePhase angleTriglyceride glucose indexWound healing

Identifiers

PMID39286297
PMCPMC11403051

What Socratic holds

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LicenceCC BY-NC-ND
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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.