Evidence map›Paper›PMID 31541386›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

Mapping EQ-5D-3L from the Knee Injury and Osteoarthritis Outcome Score (KOOS).

Ali Kiadaliri, Monica Hernández Alava, Ewa M Roos, Martin Englund

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Mapping of Family Reported Outcome Measure (FROM-16) scores to EQ-5D: algorithm to calculate utility values.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Trial
  3. Mapping the Edmonton Symptom Assessment System-Revised: Renal to the EQ-5D-5L in patients with chronic kidney disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Trial
  4. Article
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  6. Development of mapping algorithms for gastric cancer: translating EORTC QLQ-C30 and QLQ-STO22 to EQ-5D-5L health utilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
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  12. Mapping the Oxford Shoulder Score onto the EQ-5D utility index.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
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  15. Article
  16. Mapping the Memorial Anxiety Scale for Prostate Cancer to the SF-6D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  17. Article
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.

Ali KiadaliriClinical Epidemiology Unit, Department of Clinical Sciences Lund, Orthopaedics, Faculty of Medicine, Lund University, Remissgatan 4, 221 85, Lund, Sweden. aliasghar.ahmad_kiadaliri@med.lu.se.ORCID http://orcid.org/0000-0002-4254-9099
Monica Hernández AlavaHealth Economics and Decision Science, University of Sheffield, Sheffield, UK.
Ewa M RoosDepartment of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Martin EnglundClinical Epidemiology Unit, Department of Clinical Sciences Lund, Orthopaedics, Faculty of Medicine, Lund University, Remissgatan 4, 221 85, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a mapping model to estimate EQ-5D-3L from the Knee Injury and Osteoarthritis Outcome Score (KOOS).

methodsThe responses to EQ-5D-3L and KOOS questionnaires (n = 40,459 observations) were obtained from the Swedish National anterior cruciate ligament (ACL) Register for patients ≥ 18 years with the knee ACL injury. We used linear regression (LR) and beta-mixture (BM) for direct mapping and the generalized ordered probit model for response mapping (RM). We compared the distribution of the original data to the distributions of the data generated using the estimated models.

resultsModels with individual KOOS subscales performed better than those with the average of KOOS subscale scores (KOOS

conclusionsWe developed mapping models to estimate EQ-5D-3L from KOOS facilitating application of KOOS in cost-utility analyses. The BM showed superior performance for estimating EQ-5D-3L from KOOS. Further validation of the estimated models in different independent samples is warranted.

Indexed as

AdultAlgorithmsFemaleHumansKnee InjuriesMaleOsteoarthritisQuality of LifeSurveys and QuestionnairesBeta-mixtureEQ-5D-3LKOOSLinear regressionMappingResponse mapping

Identifiers

PMID31541386
PMCPMC6962127

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.