Meta-analysis of prognostic factors in patients with knee arthroplasty

ObjectiveTo identify specific factors predicting functional outcomes, pain reduction, and patient satisfaction following knee arthroplasty through systematic review and meta-analysis.MethodsA comprehensive search of multiple databases (Pubmed, Embase, OVID, Medline, Cochrane Library, CNKI, Wanfang,...

Full description

Saved in:
Bibliographic Details
Main Authors: Fengying Guo, Xiaoxia Shi, Honghui Song, Shendong Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Surgery
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2025.1584238/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849717455353544704
author Fengying Guo
Xiaoxia Shi
Honghui Song
Shendong Wang
author_facet Fengying Guo
Xiaoxia Shi
Honghui Song
Shendong Wang
author_sort Fengying Guo
collection DOAJ
description ObjectiveTo identify specific factors predicting functional outcomes, pain reduction, and patient satisfaction following knee arthroplasty through systematic review and meta-analysis.MethodsA comprehensive search of multiple databases (Pubmed, Embase, OVID, Medline, Cochrane Library, CNKI, Wanfang, VIP) was conducted for studies published from database inception to December 2024. Studies reporting associations between preoperative factors and standardized outcomes after knee arthroplasty were included. Two reviewers independently screened articles, extracted data, and assessed study quality using modified Jadad scale for randomized trials and MINORS for non-randomized studies. Random-effects meta-analyses were performed for pain duration and red blood cell distribution width (RDW), with meta-regression to assess their prognostic value for functional outcomes measured by standardized knee scores. Heterogeneity was assessed using I2 statistics, and publication bias was evaluated using Egger's and Begg's tests.ResultsEight studies were included in the final analysis: Four studies examining pain duration (n = 576 patients) and four studies examining RDW (n = 612 patients) met inclusion criteria. Significant heterogeneity was observed in both analyses (I2 = 87% and I2 = 91%, respectively, p < 0.01). Meta-regression revealed that shorter pain duration (<3 years) was significantly associated with better functional outcomes at 12-month follow-up [Weighted Mean Difference (WMD) = −4.532, 95%CI = (−6.439,−2.626), p < 0.001]. Normal preoperative RDW values (11.5–14.5%) were also significantly associated with improved functional outcomes [WMD = −1.742, 95%CI = (−2.371,−1.114), p < 0.001]. Subgroup analyses indicated that the predictive value of these factors was consistent across different surgical techniques (p = 0.42). Publication bias assessment showed no significant bias (Egger's test p = 0.2094, Begg's test p = 0.0833). The high heterogeneity limits the direct clinical application of these pooled estimates and necessitates cautious interpretation.ConclusionThis meta-analysis identified shorter preoperative pain duration and normal RDW values as independent predictors of better functional outcomes following knee arthroplasty. However, the small number of included studies and high heterogeneity observed warrant cautious interpretation of these findings. These findings can help clinicians identify patients at risk of suboptimal outcomes and potentially guide personalized perioperative interventions. Further research is needed to establish optimal cutoff values and to evaluate the combined predictive power of these factors in clinical practice.
format Article
id doaj-art-e221e33aa8a84c0b9101bb0665588d04
institution DOAJ
issn 2296-875X
language English
publishDate 2025-07-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Surgery
spelling doaj-art-e221e33aa8a84c0b9101bb0665588d042025-08-20T03:12:39ZengFrontiers Media S.A.Frontiers in Surgery2296-875X2025-07-011210.3389/fsurg.2025.15842381584238Meta-analysis of prognostic factors in patients with knee arthroplastyFengying Guo0Xiaoxia Shi1Honghui Song2Shendong Wang3epartment of Orthopaedics, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, Chinaepartment of Orthopaedics, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, Chinaepartment of Orthopaedics, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, Chinaepartment of Orthopaedics, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, ChinaObjectiveTo identify specific factors predicting functional outcomes, pain reduction, and patient satisfaction following knee arthroplasty through systematic review and meta-analysis.MethodsA comprehensive search of multiple databases (Pubmed, Embase, OVID, Medline, Cochrane Library, CNKI, Wanfang, VIP) was conducted for studies published from database inception to December 2024. Studies reporting associations between preoperative factors and standardized outcomes after knee arthroplasty were included. Two reviewers independently screened articles, extracted data, and assessed study quality using modified Jadad scale for randomized trials and MINORS for non-randomized studies. Random-effects meta-analyses were performed for pain duration and red blood cell distribution width (RDW), with meta-regression to assess their prognostic value for functional outcomes measured by standardized knee scores. Heterogeneity was assessed using I2 statistics, and publication bias was evaluated using Egger's and Begg's tests.ResultsEight studies were included in the final analysis: Four studies examining pain duration (n = 576 patients) and four studies examining RDW (n = 612 patients) met inclusion criteria. Significant heterogeneity was observed in both analyses (I2 = 87% and I2 = 91%, respectively, p < 0.01). Meta-regression revealed that shorter pain duration (<3 years) was significantly associated with better functional outcomes at 12-month follow-up [Weighted Mean Difference (WMD) = −4.532, 95%CI = (−6.439,−2.626), p < 0.001]. Normal preoperative RDW values (11.5–14.5%) were also significantly associated with improved functional outcomes [WMD = −1.742, 95%CI = (−2.371,−1.114), p < 0.001]. Subgroup analyses indicated that the predictive value of these factors was consistent across different surgical techniques (p = 0.42). Publication bias assessment showed no significant bias (Egger's test p = 0.2094, Begg's test p = 0.0833). The high heterogeneity limits the direct clinical application of these pooled estimates and necessitates cautious interpretation.ConclusionThis meta-analysis identified shorter preoperative pain duration and normal RDW values as independent predictors of better functional outcomes following knee arthroplasty. However, the small number of included studies and high heterogeneity observed warrant cautious interpretation of these findings. These findings can help clinicians identify patients at risk of suboptimal outcomes and potentially guide personalized perioperative interventions. Further research is needed to establish optimal cutoff values and to evaluate the combined predictive power of these factors in clinical practice.https://www.frontiersin.org/articles/10.3389/fsurg.2025.1584238/fullknee replacementprognosisinfluencing factorsmeta-analysisknee osteoarthritis
spellingShingle Fengying Guo
Xiaoxia Shi
Honghui Song
Shendong Wang
Meta-analysis of prognostic factors in patients with knee arthroplasty
Frontiers in Surgery
knee replacement
prognosis
influencing factors
meta-analysis
knee osteoarthritis
title Meta-analysis of prognostic factors in patients with knee arthroplasty
title_full Meta-analysis of prognostic factors in patients with knee arthroplasty
title_fullStr Meta-analysis of prognostic factors in patients with knee arthroplasty
title_full_unstemmed Meta-analysis of prognostic factors in patients with knee arthroplasty
title_short Meta-analysis of prognostic factors in patients with knee arthroplasty
title_sort meta analysis of prognostic factors in patients with knee arthroplasty
topic knee replacement
prognosis
influencing factors
meta-analysis
knee osteoarthritis
url https://www.frontiersin.org/articles/10.3389/fsurg.2025.1584238/full
work_keys_str_mv AT fengyingguo metaanalysisofprognosticfactorsinpatientswithkneearthroplasty
AT xiaoxiashi metaanalysisofprognosticfactorsinpatientswithkneearthroplasty
AT honghuisong metaanalysisofprognosticfactorsinpatientswithkneearthroplasty
AT shendongwang metaanalysisofprognosticfactorsinpatientswithkneearthroplasty