Evidence map›Paper›PMID 40182857›Full record

ArticleFrontiers in medicine2025

A novel indicator for predicting functional recovery in elderly hip fracture patients.

Weicheng Wu, Zhening Guo, Peiyao Zhu, Bo Lv, Yongtao Mao, Chang She, Wei Xu, Jun Gu, Jie Pan, Liubing Li

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. Review
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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

10 authors.

Weicheng Wu *Department of Orthopedics, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Zhening Guo *Department of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Peiyao ZhuDepartment of Orthopedics, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Bo LvDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Yongtao MaoDepartment of Orthopedics, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Chang SheDepartment of Orthopedics, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Wei XuDepartment of Orthopedics, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Jun GuDepartment of Orthopedics, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Jie PanDepartment of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Liubing LiDepartment of Orthopedics, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The inflammatory response following hip fracture significantly influences postoperative functional recovery in patients. However, to date, no inflammatory index has been identified as a reliable and accurate predictor of functional recovery, especially in elderly patients with hip fractures. This study introduces and evaluates a novel inflammatory marker, the lymphocyte ratio-calcium index (LRCa Methods: A retrospective analysis was conducted on 111 elderly patients (≥65 years) who underwent hip fracture surgery, and their demographic and laboratory data were analyzed. Patients were classified into good or poor recovery groups based on the Harris hip score (HHS) 1 year postoperatively. LRCa Results: ROC curve analysis revealed that, compared with the SII (AUC: 0.601), the SIRI (AUC: 0.61), the AISI (AUC: 0.577), and the MLR (AUC: 0.626) had superior predictive performance. Multivariate logistic regression revealed that the LRCa Conclusion: LRCa

Indexed as

functional recoveryHHShip fractureinflammatory indicesLRCa3

Identifiers

PMID40182857
PMCPMC11966028

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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.