Evidence map›Paper›PMID 30819222›Full record

SynthesisJournal of orthopaedic surgery and research2019

Reference markers of bone turnover for prediction of fracture: a meta-analysis.

Aixian Tian, Jianxiong Ma, Kaiqiang Feng, Zhaojie Liu, Lei Chen, Haobo Jia, Xinlong Ma

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
6.0field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Aixian TianTianjin Hospital, Tianjin University, Tianjin, 300211, China.
Jianxiong MaTianjin Hospital, Tianjin University, Tianjin, 300211, China.
Kaiqiang FengDepartment of Clinical Laboratory, Tianjin Hospital, Tianjin, 300211, China.
Zhaojie LiuTianjin Hospital, Tianjin University, Tianjin, 300211, China.
Lei ChenDepartment of Otolaryngology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Haobo JiaDepartment of Orthopedics Institute, Tianjin Hospital, Tianjin, 300211, China.
Xinlong MaTianjin Hospital, Tianjin University, Tianjin, 300211, China. tjtianaixian@163.com.
Tianjin Hospital · CNTianjin University · CNTianjin Medical University · CN

Funding

Technology fund of Tianjin Health and Family Planning Commision 2015KZ065
6 · The paper itself

Abstract

objectiveTo explore whether bone turnover biomarkers (BTMs), i.e., C-terminal telopeptide of type I collagen (CTX) and procollagen type I aminoterminal propeptide (PINP), are associated with fracture.

methodsWe searched electronic database including PubMed, Embase and Cochrane Library, and the reference lists of relevant articles published from inception to August 22, 2018. An updated meta-analysis was performed to assess the prediction value of CTX and PINP in fracture.

resultsNine articles met our inclusion criteria and were included in the meta-analysis. The crude and adjusted effect size between PINP and fracture were extracted from two and five studies, respectively. PINP was not associated with fracture incidence without adjusting covariates (crude GR, 1.03; 95% CI, 0.91-1.17). After adjusting for potential confounders, PINP demonstrated a significant positive association with fracture (adjusted GR, 1.28; 95% CI, 1.15-1.42). In the subgroup analysis of studies after adjusting covariates, there were significant associations in women. Both the crude (1.16, 95%CI, 1.04-1.20) and adjusted GR (1.20, 95%CI, 1.05-1.37) shown positive relationships between CTX and fracture, which were extracted from four and six studies, separately. The sensitivity analysis confirmed the stability of the results. In the subgroup analysis of studies after adjusting covariates, there were significant associations in the subgroups of elderly, female, and hip fracture patients.

conclusionsOur results indicate a statistically significant but modest association between BTMs (s-PINP or s-CTX) and future fracture risk after adjusting for BMD and clinical risk factors. The causal relationship between the two clinical conditions requires future validation with more standardized studies. REGISTRATION NUMBER: CRD42018107879.

Indexed as

BiomarkersBone DensityBone RemodelingFractures, BoneHumansPredictive Value of TestsProspective StudiesReference ValuesRisk FactorsBiomarkersBTMsCTXFracturePINP

Identifiers

PMID30819222
PMCPMC6393999
OpenAlexW2924136432

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.