Evidence mapPaperPMID 40199776Full record

ReviewCurrent osteoporosis reports2025

Laboratory-based Biomarkers for Risk Prediction, Auxiliary Diagnosis and Post-operative Follow-up of Osteoporotic Fractures.

Rui Tao, Mei-Qi Qiao, Bin Wang, Jian-Pin Fan, Feng Gao, Shao-Jun Wang, Sheng-Yang Guo, Sheng-Li Xia

Abstract readReview
In one paragraph

Review in Current osteoporosis reports, 2025. 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. Article
  2. 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

8 authors.

Rui Tao *Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China.
Mei-Qi Qiao *Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China.
Bin WangDepartment of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China.
Jian-Pin FanDepartment of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China.
Feng GaoDepartment of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China.
Shao-Jun WangDepartment of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China.
Sheng-Yang GuoDepartment of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China.
Sheng-Li XiaDepartment of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhoupu Zhouyuan Road, Pudong New Area, Shanghai, 201318, China. victor_0930@hotmail.com.ORCID http://orcid.org/0000-0002-7160-6814

Funding

Clinical Research Fund of Shanghai Municipal Commission of Health 202240112Pudong New Area Science and Technology Development Fund PKJ2021-Y31
6 · The paper itself

Abstract

purpose of reviewOsteoporosis (OP) is characterized by degraded bone microstructure, loss of bone mass and increased risk of fragility fractures. Currently, T-score determined by dual-energy X-ray absorptiometry (DEXA) measurements has been regarded as the gold standard for the diagnosis of osteoporosis. However, multiple factors have indicated that the T-score is insufficient to identify individuals with osteoporosis at a potentially high risk of fracture, or accurately detect those who require treatment, or continuously monitor the risk of re-fracture and clinical outcomes after treatment. This review covers publications in a range of ten years and comprehensively summarizes the studies in laboratory-based biomarkers for osteoporotic fractures (OF), aiming to provide physicians and surgeons with an update of clinical research in identification, verification and application of these tools, and to provide useful information for the design of future clinical studies. RECENT

findingsIt was found that bone formation markers (such as PINP, BGP, ECM1 and SOST), bone resorption markers (such as β-CTX, TRAcP5b, osteocalcin, RANKL, RANKL/OPG ratio, and t-PINP/β-CTX), hormonal biomarkers (such as IGF- 1, PTH, leptin, adiponectin and AMH), indicators of inflammation and oxidative stress (SII, IL- 6, LTL, FlOP_360, FlOP_400, and GGT), microRNAs (such as miR- 21, miR- 320a- 3p, miR- 491 - 5p, miR- 485 - 3p, miR- 19b- 1- 5p, miR- 203a, miR- 31 - 5p, miR- 502 - 3p, miR- 4739, miR- 497, miR- 19b, and miR- 107), other biomarkers (SAF-AGEs and glycine), adipocytokines (irisin and Omentin- 1), senescence biomarkers (RDW), and lncRNAs (MIAT) may be useful biomarkers for clinical practice. Further validation of these biomarkers and a better understanding of the underlying molecular mechanisms may help in the development and application of these biomarkers for risk prediction of OF, differential diagnosis among OP, OF and healthy individuals, as well as post-operative monitoring of re-fracture risk and treatment outcomes.

Indexed as

BiomarkersOsteoporosisOsteoporotic FracturesAbsorptiometry, PhotonBone DensityHumansRisk AssessmentBiomarkersAuxiliary diagnosisBiomarkerFollow-upOsteoporosisOsteoporotic fractureRisk prediction

Identifiers

PMID40199776
PMCPMC11978538

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.