Evidence map›Paper›PMID 33781327›Full record

ArticleJournal of orthopaedic surgery and research2021

Validation of a second-generation appropriateness classification system for total knee arthroplasty: a prospective cohort study.

Antonio Escobar, Amaia Bilbao, Maria L Bertrand, Jesús Moreta, Miquel A Froufe, Jordi Colomina, Olga Martınez-Cruz, Robert A Perera, Daniel L Riddle

Open access · goldAbstract readValidation Study
In one paragraph

Article in Journal of orthopaedic surgery and research, 2021. 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
2.7field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 7 institutions in 2 countries.

Antonio EscobarOsakidetza Basque Health Service, Basurto University Hospital, Research Unit, Bilbao, Spain.
Amaia BilbaoOsakidetza Basque Health Service, Basurto University Hospital, Research Unit, Bilbao, Spain. amaia.bilbaogonzalez@osakidetza.eus.ORCID http://orcid.org/0000-0002-2202-0753
Maria L BertrandHealth Service Research Network on Chronic Diseases (REDISSEC), Bilbao, Spain.
Jesús MoretaBiocruces-Bizkaia Health Research Institute, Group of Lower Limb Reconstructive Surgery, Barakaldo, Spain.
Miquel A FroufeDepartment of Orthopaedic Surgery and Traumatology, Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain.
Jordi ColominaDepartment of Orthopaedic Surgery and Traumatology, Santa Maria University Hospital, Lleida, Spain.
Olga Martınez-CruzÀmbit d'Avaluació, Agència de Qualitat i Avaluacio´ Sanitaries de Catalunya (AQuAS), Departament de Salut - Generalitat de Catalunya, Barcelona, Spain.
Robert A PereraDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
Daniel L RiddleDepartments of Physical Therapy, Orthopaedic Surgery and Rheumatology, Virginia Commonwealth University, Richmond, VA, USA.
Hospital de Basurto · ESVirginia Commonwealth University · USBioCruces Health research Institute · ESGeneralitat de Catalunya · ESHospital Costa del Sol · ESHospital Universitari de Girona Doctor Josep Trueta · ESHospital Universitari de Santa Maria · ES

Funding

Departamento de Salud del Gobierno Vasco 2015111137Instituto de Salud Carlos III PI15/01105
6 · The paper itself

Abstract

backgroundTo test the validity of a second-generation appropriateness system in a cohort of patients undergoing total knee arthroplasty (TKA).

methodsWe applied the RAND/UCLA Appropriateness Method to derive our second-generation system and conducted a prospective study of patients diagnosed with knee osteoarthritis in eight public hospitals in Spain. Main outcome questionnaires were the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Short-Form-12 (SF-12), and the Knee Society Score satisfaction scale (KSS), completed before and 6 months after TKA. Baseline, changes from baseline to 6 months (journey outcome), and 6-month scores (destination outcome) were compared according to appropriateness category. Percentage of patients attaining the minimal clinically important difference (MCID) and responders according to Outcome Measures in Rheumatology-Osteoarthritis Research Society (OMERACT-OARSI) criteria were also reported.

resultsA total of 282 patients completed baseline and 6-month questionnaires. Of these, 142 (50.4%) were classified as Appropriate, 90 (31.9%) as Uncertain, and 50 (17.7%) as Inappropriate. Patients classified as Appropriate had worse preoperative pain, function, and satisfaction (p < 0.001) and had greater improvements (i.e., journey scores) than those classified as Inappropriate (p < 0.001). At 6 months, destination scores for pain, function, or satisfaction were not significantly different across appropriateness categories. The percentage of patients meeting responder criteria (p < 0.001) and attaining MCID was statistically higher in Appropriate versus Inappropriate groups in pain (p = 0.04) and function (p = 0.004).

conclusionsThe validity of our second-generation appropriateness system was generally supported. The findings highlight a critical issue in TKA healthcare: whether TKA appropriateness should be driven by the extent of improvement, by patient final state, or by both.

Indexed as

Arthroplasty, Replacement, KneeAgedFemaleHumansKnee JointMaleMiddle AgedOsteoarthritis, KneeOutcome Assessment, Health CarePatient SatisfactionProspective StudiesQuality Assurance, Health CareQuality of LifeSpainSurveys and QuestionnairesTime FactorsAppropriatenessKneeOsteoarthritisOutcome measuresQuality of lifeSurgery

Identifiers

PMID33781327
PMCPMC8006353
OpenAlexW3144427000

What OpenQuestion holds

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LicenceCC BY
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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.