Evidence map›Paper›PMID 41140653›Full record

ArticleFrontiers in medicine2025

Association between pan-immune-inflammation value and bone turnover markers in Chinese patients with osteoporotic fractures: a retrospective cross-sectional study.

Jia-Hao Wang, Meng-Cheng Zhu, Chong Li, Guo-Hua Wang, Ke Lu, Yan-Ming Hao

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

6 authors.

Jia-Hao Wang *Kunshan Biomedical Big Data Innovation Application Laboratory, Suzhou, Jiangsu, China.
Meng-Cheng Zhu *Kunshan Biomedical Big Data Innovation Application Laboratory, Suzhou, Jiangsu, China.
Chong LiKunshan Biomedical Big Data Innovation Application Laboratory, Suzhou, Jiangsu, China.
Guo-Hua WangDepartment of Orthopedics, Qiandeng First People's Hospital of Kunshan, Suzhou, Jiangsu, China.
Ke LuKunshan Biomedical Big Data Innovation Application Laboratory, Suzhou, Jiangsu, China.
Yan-Ming HaoKunshan Biomedical Big Data Innovation Application Laboratory, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammation has been linked to impaired bone remodeling and may contribute to the risk of osteoporotic fractures (OPFs). This study examined the relationship between baseline pan-immune-inflammation value (PIV) and bone turnover markers (BTMs) in patients hospitalized for the surgical treatment of OPFs. Methods: In this retrospective cross-sectional study, 839 patients aged ≥50 years who were treated for osteoporotic fragility fractures between 2017 and 2024 were analyzed. PIV was calculated as (neutrophils × platelets × monocytes)/lymphocytes. BTMs included serum Results: The mean age of participants was 69.4 ± 10.9 years, with 70.9% being female. Mean Conclusion: Elevated PIV is independently and non-linearly associated with suppressed bone turnover, underscoring the role of systemic inflammation in the pathophysiology and management of osteoporosis.

Indexed as

bone turnover markersfragility fractureosteoimmunologyosteoporosisPIVsystemic inflammation

Identifiers

PMID41140653
PMCPMC12549592

What Socratic holds

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LicenceCC BY
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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.