Evidence map›Paper›PMID 38162051›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2023

[Characteristics of Inflammatory Markers in Diabetic Foot Patients and Their Relationship With Prognosis of Diabetic Foot Ulcers].

Jing Wu, Bista Raju, Panpan Zha, Hongping Gong, Yan Ren, Zhenyi Li, Lihong Chen, Guanjian Liu, Dawei Chen, Chun Wang and 1 more

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. [Development and Validation of a Risk Prediction Model for Prolonged Hospitalization in Patients With Diabetic Foot Ulcers].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Article
  3. 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

11 authors.

Jing Wu（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Bista Raju（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Panpan Zha（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Hongping Gong（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Yan Ren（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Zhenyi Li（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Lihong Chen（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Guanjian Liu（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Dawei Chen（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Chun Wang（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Xingwu Ran（ 610041） Innovation Center for Wound Repair, Diabetic Foot Care Center, Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the characteristics of baseline inflammatory markers in diabetic foot patients and their relationship with the prognosis of diabetic foot ulcers. Methods: The clinical data of diabetic foot patients ( Results: White blood cell count (WBC), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), procalcitonin (PCT), and interleukin-6 (IL-6) levels were significantly higher in patients defined as grade 4 on the Wagner Scale than those in patients defined as grade 0-3 on the Wagner Scale. Neutrophil percentage (NE%) was higher in Wagner grade-4 patients than those in Wagner grade-0 and grade-1 patients and higher in Wagner grade-3 patients than those in Wagner grade-0 patients. NE%, CRP, PCT, and IL-6 levels were positively correlated with the severity of diabetic foot, with the respective odds ratio ( Conclusion: The severity of diabetic foot ulcers increased with the rise in baseline levels of inflammatory markers. Elevated baseline NE% and IL-6 levels suggest a poor prognosis. Our findings suggest that early assessment of diabetic foot infection and standardized antibiotic therapy should be implemented to improve the prognosis.

Indexed as

Diabetes MellitusDiabetic FootAnti-Bacterial AgentsC-Reactive ProteinHumansInterleukin-6ProcalcitoninPrognosisRetrospective StudiesAnti-Bacterial AgentsC-Reactive ProteinInterleukin-6ProcalcitoninDiabetic foot infectionDiabetic foot ulcersInflammatory markersPrognosis

Identifiers

PMID38162051
PMCPMC10752772

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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.