Evidence map›Paper›PMID 42325869›Full record

ArticleOsteoarthritis and cartilage open2026

Does pain pattern matter? Association of intermittent, constant, predictable and unpredictable knee pain to patient-reported knee symptom acceptability in knee osteoarthritis.

Gillian A Hawker, Lisa Carlesso, Ian Stanaitis, Tuhina Neogi, Lauren K King, Jean W Liew

Abstract read
In one paragraph

Article in Osteoarthritis and cartilage open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Gillian A HawkerDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Lisa CarlessoSchool of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Ian StanaitisResearch and Innovation Institute, Women's College Hospital, Toronto, Ontario, Canada.
Tuhina NeogiSection of Rheumatology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Lauren K KingDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Jean W LiewSection of Rheumatology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.

Funding

Project 3: Intraarticular MineralizationU19AG076471 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2023 to 2026
$49.0M
Research and Evaluation Support Core Unit (RESCU Core)P30AR072571 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2019 to 2026
$6.9M
PRROPS: Pathways of Risk and Resilience for Overlapping Pain and SensitizationR01NS121419 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Emelia J. Benjamin, ROBERT R EDWARDS · 2021 to 2026
$3.7M
CAPSITE: Community Assessment of Pain and Sensitization in the ElderlyR01AG066010 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., EDWARDS, ROBERT R · 2020 to 2025
$3.3M
Pain in community-based older African American Adults: The Jackson Heart StudyR01AG066914 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., EDWARDS, ROBERT R · 2020 to 2024
$3.2M
The Role of Urate in Knee Osteoarthritis-Related Inflammation, Pathology and PainK24AR070892 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2017 to 2026
$1.1M
NIAMS NIH HHS K24 AR070892NIAMS NIH HHS P30 AR072571NIA NIH HHS R01 AG066010NIA NIH HHS R01 AG066914NIA NIH HHS U19 AG076471NINDS NIH HHS R01 NS121419
6 · The paper itself

Abstract

Objective: People with knee osteoarthritis (OA) describe intermittent, constant, predictable, and unpredictable pain, but how different pain patterns affect symptom experience is unknown. Design: This secondary cohort analysis included individuals aged ≥30 years with knee OA referred for TKA consultation in Alberta, Canada. Pre-consult questionnaires assessed socio-demographics, health status, and knee symptoms (Intermittent and Constant Osteoarthritis Pain [ICOAP] measure assesses intermittent and constant pain severity, and frequency of predictable and unpredictable intermittent pain; Patient Acceptable Symptom State [PASS] assesses if current knee symptoms are 'acceptable' or 'unacceptable'). Multivariable robust Poisson regression assessed associations of intermittent and constant pain severity and frequency of predictable and unpredictable intermittent pain with unacceptable knee symptoms. We tested for an interaction between intermittent pain severity and unpredictable pain frequency, adjusting for age, sex, education, comorbidity, and troublesome joints. Results: Of 2360 participants, 1798 with intermittent pain scores >0 and PASS responses were included. 1293 reported intermittent, constant, predictable and unpredictable knee pain; 1268 reported 'unacceptable' symptoms. In bivariate analyses, all pain patterns were associated with risk for unacceptable symptoms. In the fully adjusted model, older age and greater intermittent and constant pain were associated with higher risk of unacceptable symptoms. No significant interaction was observed between intermittent pain severity and unpredictable pain frequency. Conclusions: Among people with advanced symptomatic knee OA, more than two-thirds reported predictable and unpredictable intermittent and constant knee pain. Associations between pain predictability and symptom state acceptability were explained by greater intermittent and constant pain severity. Further research is warranted to confirm these findings across a broader spectrum of knee OA severity.

Indexed as

Constant painIntermittent and constant osteoarthritis pain (ICOAP) measureIntermittent painKnee osteoarthritisPain predictability

Identifiers

PMID42325869
PMCPMC13277439

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.