Evidence map›Paper›PMID 37907115›Full record

ArticleThe journal of pain2024

The Pace of Biological Aging Predicts Nonspecific Chronic Low Back Pain Severity.

Edwin N Aroke, Vinodh Srinivasasainagendra, Pooja Kottae, Tammie L Quinn, Asia M Wiggins, Joanna Hobson, Kiari Kinnie, Tonya Stoudmire, Hemant K Tiwari, Burel R Goodin

Open access · bronzeAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Association of the waist-to-weight index with low back pain: a mediation analysis involving accelerated biological ageing.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

10 authors at 2 institutions in 1 country.

Edwin N ArokeSchool of Nursing, University of Alabama at Birmingham, Birmingham, Alabama.
Vinodh SrinivasasainagendraDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama.
Pooja KottaeDepartment of Computer Science, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, Alabama.
Tammie L QuinnDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, Alabama.
Asia M WigginsDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, Alabama.
Joanna HobsonDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, Alabama.
Kiari KinnieSchool of Nursing, University of Alabama at Birmingham, Birmingham, Alabama.
Tonya StoudmireSchool of Nursing, University of Alabama at Birmingham, Birmingham, Alabama.
Hemant K TiwariDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama.
Burel R GoodinDepartment of Anesthesiology, School of Medicine, Washington University, St Louis, Missouri.
University of Alabama at Birmingham · USWashington University in St. Louis · US

Funding

Racial and Socioeconomic Differences in Chronic Low Back PainR01MD010441 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GOODIN, BUREL R., SORGE, ROBERT · 2017 to 2021
$2.6M
Epigenomic and Gene Expression Signatures of Racial Differences in Chronic Low Back PainR01AR079178 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AROKE, EDWIN NGOMUEH · 2021 to 2024
$1.6M
NIAMS NIH HHS R01 AR079178NIMHD NIH HHS R01 MD010441
6 · The paper itself

Abstract

This study aimed to determine if and how the pace of biological aging was associated with nonspecific chronic low back pain (cLBP) and compare what measure of epigenetic age acceleration most strongly predicts cLBP outcomes. We used the Dunedin Pace of Aging from the Epigenome (DunedinPACE), Horvath's, Hannum's, and PhenoAge clocks to determine the pace of biological aging in 69 cLBP, and 49 pain-free controls (PFCs) adults, ages 18 to 85 years. On average, participants with cLBP had higher DunedinPACE (P < .001) but lower Horvath (P = .04) and Hannum (P = .02) accelerated epigenetic age than PFCs. There was no significant difference in PhenoAge acceleration between the cLBP and PFC groups (P = .97). DunedinPACE had the largest effect size (Cohen's d = .78) on group differences. In univariate regressions, a unit increase in DunedinPACE score was associated with 265.98 times higher odds of cLBP than the PFC group (P < .001). After controlling for sex, race, and body mass index (BMI), the odds ratio of cLBP to PFC group was 149.62 (P < .001). Furthermore, among participants with cLBP, DunedinPACE scores positively correlated with pain severity (r

Indexed as

Low Back PainAdultAgingDNA MethylationEpigenesis, GeneticEpigenomeHumansOdds RatioDunedin Pace of Aging from the Epigenome (DunedinPACE)epigenetic age accelerationepigenetic clocksnonspecific chronic low back painpace of biological aging

Identifiers

PMID37907115
PMCPMC10960701
OpenAlexW4388024737

What OpenQuestion holds

Textmetadata
LicenceTDM
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.