Evidence map›Paper›PMID 29392207›Full record

ArticlePain reports2017

Accelerated aging in adults with knee osteoarthritis pain: consideration for frequency, intensity, time, and total pain sites.

Kimberly T Sibille, Huaihou Chen, Emily J Bartley, Joseph Riley, Toni L Glover, Christopher D King, Hang Zhang, Yenisel Cruz-Almeida, Burel R Goodin, Adriana Sotolongo and 8 more

Open access · goldAbstract read
In one paragraph

Article in Pain reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
2.8field-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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 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

18 authors at 5 institutions in 1 country.

Kimberly T SibilleDepartment of Aging and Geriatric Research, University of Florida, Gainesville, FL, USA.
Huaihou ChenDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Emily J BartleyPain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, USA.
Joseph RileyPain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, USA.
Toni L GloverDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, FL, USA.
Christopher D KingDepartment of Anesthesia, Cincinnati Children's Hospital, Cincinnati, OH, USA.
Hang ZhangDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Yenisel Cruz-AlmeidaDepartment of Aging and Geriatric Research, University of Florida, Gainesville, FL, USA.
Burel R GoodinDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Adriana SotolongoDepartment of Medicine, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA.
Megan E PetrovCollege of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA.
Matthew HerbertCenter of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare System and University of California, San Diego, CA, USA.
Hailey W BullsDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Jeffrey C EdbergDepartment of Medicine, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA.
Roland StaudDepartment of Medicine, University of Florida, Gainesville, FL, USA.
David ReddenBiostatistics Department, School of Public Health University of Alabama at Birmingham, Birmingham, AL, USA.
Laurence A BradleyDepartment of Medicine, Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA.
Roger B FillingimPain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, USA.
University of Florida · USUniversity of Alabama at Birmingham · USArizona State University · USCincinnati Children's Hospital Medical Center · USUniversity of California, San Diego · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
Neuroimaging Age-Related Changes i Pain ModulationK01AG048259 · NIA · UNIVERSITY OF FLORIDA · PI CRUZ-ALMEIDA, YENISEL · 2015 to 2019
$831k
Biological Markers of System Burden in Symptomatic Knee OA: A Prospective StudyK23AR062099 · NIAMS · UNIVERSITY OF FLORIDA · PI SIBILLE, KIMBERLY THERESA · 2013 to 2016
$473k
Adaptability and Resilience in Aging Adults (ARIAA)K99AG052642 · NIA · UNIVERSITY OF FLORIDA · PI BARTLEY, EMILY J. · 2016 to 2017
$233k
NIAMS NIH HHS K23 AR062099NIA NIH HHS K01 AG048259NIA NIH HHS K99 AG052642NIA NIH HHS P30 AG028740NIMHD NIH HHS L60 MD010798
6 · The paper itself

Abstract

introductionIndividuals with osteoarthritis (OA) show increased morbidity and mortality. Telomere length, a measure of cellular aging, predicts increased morbidity and mortality. Telomeres shorten with persisting biological and psychosocial stress. Living with chronic OA pain is stressful. Previous research exploring telomere length in people with OA has produced inconsistent results. Considering pain severity may clarify the relationship between OA and telomeres.

objectivesWe hypothesized that individuals with high OA chronic pain severity would have shorter telomeres than those with no or low chronic pain severity.

methodsOne hundred thirty-six adults, ages 45 to 85 years old, with and without symptomatic knee OA were included in the analysis. Peripheral blood leukocyte telomere length was measured, and demographic, clinical, and functional data were collected. Participants were categorized into 5 pain severity groups based on an additive index of frequency, intensity, time or duration, and total number of pain sites (FITT). Covariates included age, sex, race or ethnicity, study site, and knee pain status.

resultsThe no or low chronic pain severity group had significantly longer telomeres compared with the high pain severity group,

conclusionResults demonstrate accelerated cellular aging with high knee OA chronic pain severity and provide evidence for the potential utility of the FITT chronic pain severity index in capturing the biological burden of chronic pain.

Indexed as

Cellular agingOsteoarthritisPain severityStressTelomere length

Identifiers

PMID29392207
PMCPMC5741297
OpenAlexW2609298444

What OpenQuestion holds

Textmetadata
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.