Evidence map›Paper›PMID 36311927›Full record

ArticleFrontiers in surgery2022

Correlation between component alignment and short-term clinical outcomes after total knee arthroplasty.

Yichao Luan, Min Zhang, Tianfei Ran, Huizhi Wang, Chaohua Fang, Maodan Nie, Min Wang, Cheng-Kung Cheng

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Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

8 authors.

Yichao LuanSchool of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Min ZhangSchool of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Tianfei RanDepartment of Orthopaedics, Xinqiao Hospital, Army Military Medical University, Chongqing, China.
Huizhi WangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Chaohua FangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Maodan NieSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Min WangDepartment of Orthopaedics, Xinqiao Hospital, Army Military Medical University, Chongqing, China.
Cheng-Kung ChengSchool of Biological Science and Medical Engineering, Beihang University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the correlation between component alignment and short-term clinical outcomes after total knee arthroplasty (TKA). Methods: 50 TKA patients from a regional hospital were enrolled in the study. The following component alignments were measured from radiological data acquired within 1 week after surgery: hip-knee-ankle angle (HKA), medial distal femoral angle (MDFA), medial proximal tibial angle (MPTA), femoral flexion-extension angle (FEA), tibial slope angle (TSA), femoral rotational angle (FRA) and tibial rotational angle (TRA). The Hospital for Special Surgery (HSS) knee scoring system was used to assess clinical outcomes after 1 year, with patients being divided into three groups (excellent, good and not good) according to the HSS scores. Difference analysis and linear correlation analysis were used for the statistical analysis. Results: The results showed significant differences in MDFA ( Conclusion: The results show that the FEA plays a significant role in clinical outcomes after TKA. Surgical techniques and tools may need to be improved to accurately adjust the FEA to improve joint functionality and patient satisfaction.

Indexed as

clinical outcomescomponent alignmentlinear correlationoutlier ratetotal knee arthroplasty

Identifiers

PMID36311927
PMCPMC9606652

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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.