Evidence map›Paper›PMID 41946542›Full record

Observational studyBMJ open2026

Analysis of risk factors and development of a predictive nomogram for chronic postsurgical pain after hip arthroplasty: a study protocol in a Chinese tertiary hospital.

Ruping Ni, Zhaowen Gao, Zhenghua Jiang, Xiaorui Hao, Mingyuan Zhang, Dongli Lu, Zhaochun Wu, Ping Huang

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 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
–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

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

8 authors.

Ruping NiDepartment of Clinical Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.ORCID http://orcid.org/0000-0002-2601-5150
Zhaowen Gao *Department of Orthopedic Surgery, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Zhenghua Jiang *Department of Clinical Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Xiaorui Hao *Department of Orthopedic Surgery, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Mingyuan ZhangDepartment of Clinical Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Dongli LuDepartment of Clinical Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Zhaochun WuDepartment of Clinical Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China 125796319@qq.com 53018640@qq.com.ORCID http://orcid.org/0000-0001-8093-496X
Ping HuangDepartment of Pharmacy Management, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China 125796319@qq.com 53018640@qq.com.ORCID http://orcid.org/0009-0005-9847-4355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic postsurgical pain (CPSP) after hip arthroplasty is a major complication that affects patients' long-term quality of life. However, reliable tools for the individualised prediction of CPSP risk after hip arthroplasty are lacking. This study aims to develop and validate a nomogram model to predict CPSP risk in patients undergoing hip arthroplasty. METHODS AND ANALYSIS: This prospective observational cohort study will consecutively recruit 300 patients undergoing primary hip arthroplasty at the Department of Orthopaedics and Joints, Nanping First Hospital Affiliated with Fujian Medical University. The primary outcome is CPSP assessed at 3 months postoperatively (Visual Analogue Scale score ≥4). Candidate predictor variables have been identified based on literature review and clinical expertise, and include demographics, comorbidities, preoperative pain, psychological status and surgical and perioperative management. The dataset will be randomly split into development and internal validation sets in a 7:3 ratio. We will employ Least Absolute Shrinkage and Selection Operator regression to select variables and will use multivariable logistic regression to build the final prediction model. Internal validation will be performed using bootstrap resampling (1000 repetitions). The model's discrimination, calibration and clinical utility will be assessed using the C-statistic (area under the curve), calibration plots and decision curve analysis, respectively. The final model will be presented as a nomogram. ETHICS AND DISSEMINATION: The study protocol has been approved by the Ethics Committee of Nanping First Hospital (Approval No: NPSY202412034). All participants will provide written informed consent. The results will be submitted for publication in a peer-reviewed academic journal. TRIAL REGISTRATION NUMBER: ChiCTR2500107193; https://www.chictr.org.cn/showproj.html?proj=282634.

Indexed as

Arthroplasty, Replacement, HipChronic PainNomogramsPostoperative PainChinaEast Asian PeopleFemaleHumansLogistic ModelsMaleMiddle AgedPain MeasurementProspective StudiesResearch DesignRisk AssessmentRisk FactorsBone diseasesChronic PainHipOrthopedicsPAIN MANAGEMENT

Identifiers

PMID41946542
PMCPMC13064122

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.