Evidence map›Paper›PMID 40595978›Full record

ArticleScientific reports2025

Diagnostic value of neutrophil to lymphocyte ratio and serum biomarkers in chronic osteomyelitis.

Wenhui Zhao, Dongxiang Xu, Yanbin Dong, Wanwen Feng

Abstract read
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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

4 authors.

Wenhui Zhao *Department of Clinical Laboratory, The Affiliated Lianyungang Municipal Oriental Hospital of Kangda College of Nanjing Medical University, Lianyungang, 222042, China.
Dongxiang Xu *Department of Clinical Laboratory, The Affiliated Lianyungang Municipal Oriental Hospital of Kangda College of Nanjing Medical University, Lianyungang, 222042, China.
Yanbin DongDepartment of Pathology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The First People's Hospital of Lianyungang, Lianyungang, 222061, China. dongyanbin@njmu.edu.cn.
Wanwen FengDepartment of Orthopedic Surgery, The Affiliated Lianyungang Municipal Oriental Hospital of Kangda College of Nanjing Medical University, Lianyungang, 222042, China. fwwchina@163.com.

Funding

Jiangsu Province 333 High-level Talent Training Project 201412Lianyungang Science and Technology Project SH1545Research and Development Fund of Kangda College of Nanjing Medical University KD2024KYJJ112
6 · The paper itself

Abstract

Chronic osteomyelitis (COM) is a persistent bone infection associated with severe complications, making early and accurate diagnosis essential. Traditional diagnostic methods, including imaging and bacterial cultures, are often limited by low sensitivity, long processing times, and the inability to detect infections in certain clinical scenarios. In this study, we evaluated the diagnostic utility of inflammatory biomarkers for COM, including neutrophil to lymphocyte ratio (NLR), C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), and interleukin-6 (IL-6). A total of 200 participants, including 100 COM patients and 100 healthy controls, were enrolled. Our results showed that Gram-positive bacteria were more prevalent (59%), with Staphylococcus aureus being the most frequently isolated pathogen. Antibiotic resistance profiling revealed that Gram-positive bacteria exhibited high resistance to Penicillins but remained sensitive to Vancomycin and Linezolid. In contrast, Gram-negative bacteria showed high resistance to certain Penicillins, while sensitive to Carbapenems. Inflammatory marker levels (NLR, CRP, TNF-α, and IL-6) were significantly elevated in COM patients, with higher levels in Gram-negative infections. Multivariate logistic regression analysis and ROC curve analysis demonstrated that these inflammatory markers were significant predictors of COM, and the combination of these biomarkers showed superior diagnostic performance. Our findings suggest that NLR, CRP, TNF-α, and IL-6 are valuable diagnostic biomarkers for COM, and their combination enhances diagnostic precision, offering a promising tool for clinical management.

Indexed as

BiomarkersLymphocytesNeutrophilsOsteomyelitisAdultAgedCase-Control StudiesChronic DiseaseC-Reactive ProteinFemaleHumansInterleukin-6MaleMiddle AgedROC CurveTumor Necrosis Factor-alphaBiomarkersC-Reactive ProteinInterleukin-6Tumor Necrosis Factor-alphaBiomarkersC-reactive proteinInterleukin-6Neutrophil to lymphocyte ratioOsteomyelitisTumor necrosis factor-alpha

Identifiers

PMID40595978
PMCPMC12216443

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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.