Evidence map›Paper›PMID 38057697›Full record

ArticleBMC musculoskeletal disorders2023

The accuracy of multiple regression models for predicting the individual risk of recurrent lateral patellar dislocation.

Jiang Yu, Yijin Li, Kaibo Zhang, Runze Yang, Xiaolong Yang, Meng Gong, Cheng Long, Weili Fu

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2023. 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
0.3field-weighted citation impact, top 45% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Jiang Yu *Department of Orthopedic Surgery/Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Yijin Li *Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Kaibo ZhangDepartment of Orthopedic Surgery/Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Runze YangDepartment of Orthopedic Surgery/Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Xiaolong YangDepartment of Orthopedic Surgery/Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Meng GongLaboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Cheng LongDepartment of Orthopedic Surgery/Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China. hxlongcheng@163.com.
Weili FuDepartment of Orthopedic Surgery/Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China. foxwin2008@163.com.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecurrent lateral patellar dislocation (RLPD) poses a significant threat to patients' quality of life due to knee pain, patellofemoral cartilage damage, and potential traumatic arthritis. Predictive scoring systems have been developed to assess the risk of RLPD; however, their relative accuracy remains uncertain. PURPOSE: To investigate the accuracy of the multiple regression models to predict the individual risk of recurrent LPD.

methodsThe Patellar Instability probability calculator (PIP), Recurrent Instability of the Patella Score (RIP), and Patellar Instability Severity Score (PIS) scoring rules were measured in 171 patients with a history of patellar dislocation and 171 healthy individuals. Three prediction models were calculated based on the data to predict the risk of recurrent lateral patellar dislocation. The inter-observer and intra-observer reliability of each measurement parameter was evaluated. The predictive capacity of the three-prediction model was investigated using the receiver operating characteristic curve.

resultsIn the case group of 171 patients, PIS accurately predicted recurrent lateral Patella dislocation in 143 patients. RIP was 96, and PIP was 83. The positive predictive values were 92.9%, 64%, and 68% respectively. In the control group of 171 patients, the PIS was validated in 160 patients who would not experience dislocations. RIP was 117, and PIP was 50. The negative predictive values were 85.1%, 60.9%, and 36.2%, respectively. The area under the curve score for the PIS was 0.866, and the RIP was 0.673. the PIP was 0.678.

conclusionRIP and PIP did not work to predict LPD. PIS can accurately predict recurrent lateral patellar dislocation. It can aid doctors in making treatment decisions. LEVEL OF EVIDENCE: Level III, retrospective comparative study.

Indexed as

Joint InstabilityPatellar DislocationPatellofemoral JointHumansPatellaQuality of LifeReproducibility of ResultsRetrospective StudiesKneeLateral patellar dislocationOutcome measurePatellaValidation

Identifiers

PMID38057697
PMCPMC10701990
OpenAlexW4389379305

What OpenQuestion holds

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Registered trials

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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.