Evidence map›Paper›PMID 31600034›Full record

Trial reportArthritis care & research2020

Short-Term Recovery Trajectories of Acute Flares in Knee Pain: A UK-Netherlands Multicenter Prospective Cohort Analysis.

Martin J Thomas, Dahai Yu, Elaine Nicholls, Sita Bierma-Zeinstra, Philip G Conaghan, Karen J Stoner, Tuhina Neogi, Emma L Parry, George Peat

Open access · hybridAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Arthritis care & research, 2020. 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
0.7field-weighted citation impact, top 27% 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, 9 citations in OpenAlex.

  1. Article
  2. Osteoarthritis Flares.Clinics in geriatric medicine · 2022
    Review
  3. 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

9 authors at 6 institutions in 3 countries.

Martin J ThomasKeele University, Haywood Academic Rheumatology Centre, Midlands Partnership NHS Foundation Trust, and Haywood Hospital, Burslem, Staffordshire, UK.ORCID 0000-0002-4951-9925
Dahai YuKeele University, Staffordshire, UK.
Elaine NichollsKeele University, Staffordshire, UK.
Sita Bierma-ZeinstraErasmus MC-University Medical Centre, Rotterdam, The Netherlands.
Philip G ConaghanUniversity of Leeds and NIHR Leeds Biomedical Research Centre, Leeds, UK.ORCID 0000-0002-3478-5665
Karen J StonerInfirst Healthcare Ltd, London, UK.
Tuhina NeogiBoston University School of Medicine, Boston, Massachusetts.
Emma L ParryKeele University, Staffordshire, UK.
George PeatKeele University, Staffordshire, UK.
Keele University · GBBoston University · USErasmus MC · NLInfirst Healthcare (United Kingdom) · GBMidlands Partnership NHS Foundation Trust · GBUniversity of Leeds · GB

Funding

Research and Evaluation Support Core Unit (RESCU Core)P30AR072571 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2019 to 2026
$6.9M
Central Sensitization in Post-Knee Replacement Pain and Relation to OA PathologyR01AR062506 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NEOGI, TUHINA · 2012 to 2016
$2.4M
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
Arthritis Research UK Primary Care Centre of Excellence Award (20202)Department of Health ICA-CL-2016-02-014NIAMS NIH HHS K24 AR070892NIAMS NIH HHS P30 AR072571NIAMS NIH HHS R01 AR062506
6 · The paper itself

Abstract

objectiveTo identify distinct recovery trajectories of acute flares of knee pain and associated participant characteristics.

methodsData were from the FLARE randomized controlled trial, a multicenter trial in 27 primary care centers in the UK and Netherlands of 3 regimes of oral nonsteroidal antiinflammatory therapy for acute flares of knee pain. Individuals with a history of inflammatory/crystal arthritis, fibromyalgia, and chronic pain syndrome were excluded. Latent class growth analysis was applied to measures of pain intensity repeated over 5 days to identify distinct recovery trajectories. The concurrent courses of interference with activity, stiffness, and swelling for each trajectory group were modelled using generalized estimating equations. Participant age, sex, obesity, and osteoarthritis diagnosis were described for each trajectory group.

resultsA total of 449 participants were included (median age 55 years, 41% female, 35% obese, and 42% diagnosed with osteoarthritis). A 6-group cubic model was deemed optimal, with trajectories distinguished by rate of pain reduction and absolute level at final measurement. At the extremes were rapid and near-complete resolution (n = 41, 9%) and persistent, high pain (n = 25, 6%), but most participants showed a reduction and plateau in pain severity within 3-5 days. Within each pain trajectory group, interference with activity, stiffness, and swelling followed the same course as pain. Baseline characteristics did not differ substantially between trajectory groups.

conclusionEven under a well-adhered to regime of oral nonsteroidal antiinflammatory medication, recovery following acute flares of knee pain is heterogeneous. Our observations that favorable trajectories are apparent within 3-5 days can help to inform treatment decision-making in the patient-health care professional consultation.

Indexed as

Acute PainAdultAgedAnti-Inflammatory Agents, Non-SteroidalArthralgiaDisease ProgressionDouble-Blind MethodFemaleHumansIbuprofenKnee JointMaleMiddle AgedNetherlandsPain MeasurementProspective StudiesAnti-Inflammatory Agents, Non-SteroidalIbuprofen

Identifiers

PMID31600034
PMCPMC7145729
OpenAlexW2980066872

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.