Evidence map›Paper›PMID 39343191›Full record

ArticleThe journal of pain2024

Prevalence and Factors Associated With High-Impact Chronic Pain in Knee Osteoarthritis: The Johnston County Health Study.

Steven Z George, Kelli D Allen, Carolina Alvarez, Liubov Arbeeva, Leigh F Callahan, Amanda E Nelson, Todd A Schwartz, Yvonne M Golightly

Abstract read
In one paragraph

Article in The journal of pain, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Personalizing the Management of Knee Osteoarthritis.SMART-MD journal of precision medicine · 2026
    Article
  7. Article
  8. 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

8 authors.

Steven Z GeorgeDepartments of Orthopaedic Surgery and Population Health Sciences, Duke Clinical Research Institute, Duke University, Durham, North Carolina. Electronic address: steven.george@duke.edu.
Kelli D AllenThurston Arthritis Research Center & Department of Medicine, Division of Rheumatology, Allergy & Immunology, University of North Carolina, Chapel Hill, North Carolina; Center of Innovation to Accelerate Discovery and Practice Transformation, Department of Veterans Affairs Healthcare System, Durham, North Carolina.
Carolina AlvarezThurston Arthritis Research Center, University of North Carolina, Chapel Hill, North Carolina.
Liubov ArbeevaThurston Arthritis Research Center, University of North Carolina, Chapel Hill, North Carolina.
Leigh F CallahanThurston Arthritis Research Center & Department of Medicine, Division of Rheumatology, Allergy & Immunology, University of North Carolina, Chapel Hill, North Carolina.
Amanda E NelsonThurston Arthritis Research Center & Department of Medicine, Division of Rheumatology, Allergy & Immunology, University of North Carolina, Chapel Hill, North Carolina.
Todd A SchwartzThurston Arthritis Research Center & Department of Biostatistics & School of Nursing, University of North Carolina, Chapel Hill, North Carolina.
Yvonne M GolightlyThurston Arthritis Research Center, University of North Carolina, Chapel Hill, North Carolina; University of Nebraska Medical Center, College of Allied Health Professions, Omaha, Nebraska.

Funding

UNC Core Center for Clinical ResearchP30AR072580 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LEIGH Fleming CALLAHAN, Amanda E Nelson · 2019 to 2026
$6.1M
HSRD VA CIN 13-410NIAMS NIH HHS P30 AR072580
6 · The paper itself

Abstract

Pain is a hallmark symptom of knee osteoarthritis (KOA), yet intensity and severity vary widely among individuals. There is a knowledge gap in understanding key characteristics of high-impact chronic pain (HICP) within the context of KOA. Therefore, our first purpose was to examine the prevalence of HICP in a cohort of individuals with radiographic evidence of KOA, and our second purpose was to assess patient-level factors associated with HICP. Data from the Johnston County Health Study were used to compare those with and without HICP. Variables included sociodemographic factors, clinical factors, health care use, and psychosocial distress. HICP status was classified with Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference and Physical Function measures. The results indicated that 15.5% (48/310) of participants were classified as having HICP when the PROMIS-Pain Interference cutoff score was used, while 21.2% (66/310) were classified as having HICP with a PROMIS-Physical Function cutoff score. Multivariable analyses indicated that HICP was consistently characterized by increased kinesiophobia and somatization, regardless of PROMIS measure used for HICP status. A secondary insight was that HICP was not consistently characterized by sociodemographic and clinical variables, as these findings were dependent on PROMIS measure used. These findings could be used to develop intervention approaches specific to individuals with KOA and to inform future investigations of sociodemographic and clinical factors associated with HICP. PERSPECTIVE: These findings provide additional information on the characterization of HICP for individuals with KOA. There was consistency in psychosocial factors associated with HICP, while sociodemographic and clinical factors varied based on how HICP status was defined.

Indexed as

Chronic PainOsteoarthritis, KneeAgedFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresPrevalenceChronic painknee, osteoarthritis, community-based, psychosocial, sociodemographic

Identifiers

PMID39343191
PMCPMC12240002

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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.