Evidence map›Paper›PMID 40615826›Full record

ArticleBMC musculoskeletal disorders2025

Risk factors for general complications after hip or knee replacement surgery in elderly patients: a single-center study.

Huaxing Zhang, Jingjing Cao, Jia Chen, Xiaoran Ning

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 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
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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

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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.

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4 · The record

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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

4 authors.

Huaxing ZhangDepartment of Medical Service, Hebei General Hospital, No. 348, Heping West Road, Shijiazhuang, Hebei, 050051, China. dreamxing2017@126.com.
Jingjing CaoDepartment of Rheumatology and Immunology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, China.
Jia ChenDepartment of Orthopaedics, The Fist Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050030, China.
Xiaoran NingDepartment of Rheumatology and Immunology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the risk factors for complications after hip or knee replacement surgery in elderly patients.

methodsIn total, 401 elderly patients (aged ≥ 65 years) who underwent hip or knee replacement surgery at a hospital from January 2017 to December 2022 were retrospectively analyzed. Univariate analysis was performed to identify significant variables. Risk factors and the effects of the model were examined by unconditional binary logistic regression analyses and receiver operating characteristic (ROC) curve analysis, respectively.

resultsA total of 122 (30.42%) patients were diagnosed with complications after hip or knee replacement surgery, and the independent risk factors for complications were age, body mass index (BMI) and hypertension. Fifty-six patients (13.97%) developed lower extremity venous thrombosis (LEVT), and the independent risk factors were hypertension, surgical joint type and visual analog scale (VAS) pain score. Cardiopulmonary complications occurred in 50 patients (12.47%), and the independent risk factors were age and BMI. Postoperative delirium occurred in 15 patients (3.74%), and its independent risk factors were age and American Society of Anesthesiologists (ASA) grade. Two or more complications occurred in 17 patients (4.24%), and the independent risk factors were age and diabetes.

conclusionsThis study focused on elderly patients with risk factors for complications after hip or knee replacement surgery. Clinically, elderly patients undergoing hip or knee replacement surgery should perform well in terms of preoperative and perioperative management.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneePostoperative ComplicationsAgedAged, 80 and overAge FactorsBody Mass IndexFemaleHumansHypertensionMaleRetrospective StudiesRisk FactorsVenous ThrombosisComplicationsReplacementRisk factors

Identifiers

PMID40615826
PMCPMC12231899

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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.