Evidence map›Paper›PMID 40809323›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2025

PainDETECT as a Potential Tool for Personalized Medicine: Predicting Outcome One Year After Knee Arthroplasty.

Amanda J W Wall, Kirsten M Leyland, Amit Kiran, Nigel K Arden, Cyrus Cooper, Vishvarani Wanigasekera, M Kassim Javaid, Andrew J Price, Irene M C Tracey, Anushka Irani

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In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Amanda J W WallOxford University Centre for Integrative Neuroimaging, Nuffield Department Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK.
Kirsten M LeylandArthritis Research UK Centre for Sport, Exercise and Osteoarthritis, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.
Amit KiranOxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.
Nigel K ArdenOxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.
Cyrus CooperOxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.
Vishvarani WanigasekeraOxford University Centre for Integrative Neuroimaging, Nuffield Department Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK.
M Kassim JavaidOxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.
Andrew J PriceOxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.
Irene M C TraceyOxford University Centre for Integrative Neuroimaging, Nuffield Department Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK.
Anushka IraniOxford NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate whether neuropathic-like pain, identified using the PainDETECT questionnaire, predicts postoperative symptoms, using data from 2 independent, prospective cohort studies. Patients and Methods: Data were collected from patients undergoing primary knee arthroplasty for primary osteoarthritis recruited to the Evaluation of perioperative Pain in Osteoarthritis of the kNEe (EPIONE) Study n=120, from October 1, 2011, to May 30, 2014, and the Clinical Outcomes in Arthroplasty Study (COASt) n=404, from January 1, 2010, to December 31, 2018). The PainDETECT questionnaire score was used to divide patients into nociceptive (<13), unclear (13-18), and neuropathic pain (>18) groups preoperatively using validated cutoffs. As the neuropathic group also captures nociplastic pain, we used neuropathic-like to represent this combination. Surgical outcome was compared between groups using the Oxford Knee Score (OKS) and the presence of moderate to severe pain 12 months after arthroplasty. Results: Total of 296 (56%) reported nociceptive, 144 (27%) unclear, and 84 (16%) neuropathic-like pain preoperatively. Patients in the neuropathic-like pain group had significantly worse OKS postoperatively, compared with the nociceptive group (34 [12] vs 40 [8], Conclusion: Patients classified presurgery as having unclear and neuropathic pain by the modified PainDETECT have considerably worse outcomes after surgery. Neuropathic pain categorized by this tool commonly has centralized pain features and is a potential predictor of ongoing postsurgical pain. Knowledge of this may aid informed decision-making with respect to surgical intervention for those with knee osteoarthritis.

Identifiers

PMID40809323
PMCPMC12344954

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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.