Evidence map›Paper›PMID 42766431›Full record

SynthesisBone & joint research2026

Diagnostic biomarkers for non-traumatic osteonecrosis of the femoral head : a systematic review and pathophysiological cascade network.

Yawei Dong, Jigao Sun, Shuwen Li, Jiawen Zhang, Yan Yan, Taixian Li, Yan Jia

Abstract readSystematic Review
In one paragraph

Synthesis in Bone & joint research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

7 authors.

Yawei DongJoint Surgery Department III, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0000-0002-3126-3220
Jigao SunOrthopedics Department, Dongfang Hospital Beijing University of Chinese Medicine, Beijing, China.ORCID 0000-0001-8994-8559
Shuwen LiDongguan Hospital of Guangzhou University of Chinese Medicine, Dongguan Traditional Chinese Medicine Hospital, Dongguan, China.ORCID 0009-0007-3286-2667
Jiawen ZhangTraumatic Joint Surgery Department, Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China.
Yan YanSchool of Orthopedics and Traumatology, Chongqing University of Chinese Medicine, Chongqing, China.ORCID 0000-0002-7539-5268
Taixian LiTraumatic Joint Surgery Department, Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China.ORCID 0000-0003-0756-9892
Yan JiaPain Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China.ORCID 0000-0002-2545-8558

Funding

Chinese Society of Traditional Chinese MedicineShanxi Province Basic Research ProgramShanxi Provincial Department of Science and Technology
6 · The paper itself

Abstract

Aims: Many studies have focused on identifying specific biomarkers for the early diagnosis of non-traumatic osteonecrosis of the femoral head (NONFH). This systematic review aims to summarize biomarkers associated with the diagnosis and progression prediction of NONFH, thereby providing a molecular level foundation for clinical diagnosis and targeted treatment. Methods: Following the PRISMA guidelines for systematic reviews, we comprehensively searched original English-language articles published between January 2015 and December 2025 in the Web of Science and PubMed databases. Studies were selected based on the PICOS framework. Extracted data included study design, methodologies, sample sources, identified biomarkers, predictive performance, and the potential pathological pathways involved. Results: Overall, 15 studies were included, reporting a total of 52 biomarkers, all derived from blood samples. Biomarkers from eight studies were used to reflect NONFH progression, while those from seven studies were using for diagnostic prediction purposes. All biomarkers demonstrated favourable predictive performance, with six studies providing external validation. The predictive model comprising ICAM1, NR3C1, IKBKB, and CD4 showed promising performance, with area under the receiver operating characteristic curve (AUC) values each reaching 1.00. Based on their core functions, the biomarkers were categorized into seven functional groups: immune-inflammatory activation and response, signal transduction and regulation, molecular metabolism and energy homeostasis, vascular function and coagulation, oxidative stress, pyroptosis and autophagy, and RNA regulatory. Conclusion: Biomarkers for NONFH exhibit considerable potential for early diagnosis and disease progression prediction in the Chinese population. The pathogenesis of NONFH involves a multifaceted pathological process in which various components interact and synergistically exacerbate the condition. This indicates that future therapeutic strategies should adopt a multitarget, multipathway synergistic intervention approach.

Identifiers

PMID42766431
PMCPMC13592541

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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.