Evidence map›Paper›PMID 39402639›Full record

ArticleKnee surgery & related research2024

Can individual functional improvements be predicted in osteoarthritic patients after total knee arthroplasty?

Sung Eun Kim, Du Hyun Ro, Myung Chul Lee, Hyuk-Soo Han

Abstract read
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Article in Knee surgery & related research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

4 authors.

Sung Eun KimDepartment of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, South Korea.ORCID http://orcid.org/0000-0002-1954-9875
Du Hyun RoDepartment of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, South Korea.ORCID http://orcid.org/0000-0001-6199-908X
Myung Chul LeeDepartment of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, South Korea.ORCID http://orcid.org/0000-0002-8150-1573
Hyuk-Soo HanDepartment of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, South Korea. oshawks7@snu.ac.kr.ORCID http://orcid.org/0000-0003-1229-8863

Funding

Ministry of Health and Welfare grant number:HV23C1803
6 · The paper itself

Abstract

purposeTotal knee arthroplasty (TKA) is an effective treatment for advanced osteoarthritis, and achieving optimal outcomes can be challenging due to various influencing factors. Previous research has focused on identifying factors that affect postoperative functional outcomes. However, there is a paucity of studies predicting individual postoperative improvement following TKA. Therefore, a quantitative prediction model for individual patient outcomes is necessary. MATERIALS AND

methodsDemographic data, radiologic variables, intraoperative variables, and physical examination findings were collected from 976 patients undergoing TKA. Preoperative and 1-year postoperative Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were assessed, and multivariate regression analysis was conducted to identify significant factors influencing one-year WOMAC scores and changes in WOMAC scores. A predictive model was developed on the basis of the findings.

resultsThe predictive accuracy of the model for 1-year WOMAC scores was poor (all adjusted R

conclusionsThe developed quantitative model demonstrated high accuracy in predicting changes in WOMAC scores after TKA. The identified factors influencing postoperative improvement in WOMAC scores can assist in optimizing patient outcomes after TKA.

Indexed as

Functional improvementKnee arthroplastyPredictive modelWOMAC

Identifiers

PMID39402639
PMCPMC11479557

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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.