Evidence map›Paper›PMID 37519450›Full record

ArticleAging brain2023

Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain.

Soamy Montesino-Goicolea, Pedro Valdes-Hernandez, Chavier Laffitte Nodarse, Alisa J Johnson, James H Cole, Lisa H Antoine, Burel R Goodin, Roger B Fillingim, Yenisel Cruz-Almeida

Open access · goldAbstract read
In one paragraph

Article in Aging brain, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 3 institutions in 2 countries.

Soamy Montesino-GoicoleaPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States.
Pedro Valdes-HernandezPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States.
Chavier Laffitte NodarsePain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States.
Alisa J JohnsonPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States.
James H ColeCentre for Medical Image Computing, Department of Computer Science, University College London, UK.
Lisa H AntoineDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, United States.
Burel R GoodinDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, United States.
Roger B FillingimPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States.
Yenisel Cruz-AlmeidaPain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, United States.
University of Florida · USUniversity of Alabama at Birmingham · USUK Dementia Research Institute · GB

Funding

Medical Research Council MR/R024790/1Medical Research Council MR/R024790/2
6 · The paper itself

Abstract

Knee pain, the most common cause of musculoskeletal pain (MSK), constitutes a severe public health burden. Its neurobiological causes, however, remain poorly understood. Among many possible causes, it has been proposed that sleep problems could lead to an increase in chronic pain symptomatology, which may be driven by central nervous system changes. In fact, we previously found that brain cortical thickness mediated the relationship between sleep qualities and pain severity in older adults with MSK. We also demonstrated a significant difference in a machine-learning-derived brain-aging biomarker between participants with low-and high-impact knee pain. Considering this, we examined whether brain aging was associated with self-reported sleep and pain measures, and whether brain aging mediated the relationship between sleep problems and knee pain. Exploratory Spearman and Pearson partial correlations, controlling for age, sex, race and study site, showed a significant association of brain aging with sleep related impairment and self-reported pain measures. Moreover, mediation analysis showed that brain aging significantly mediated the effect of sleep related impairment on clinical pain and physical symptoms. Our findings extend our prior work demonstrating advanced brain aging among individuals with chronic pain and the mediating role of brain-aging on the association between sleep and pain severity. Future longitudinal studies are needed to further understand whether the brain can be a therapeutic target to reverse the possible effect of sleep problems on chronic pain.

Indexed as

AgingBrain ageChronic painDeepBrainNetSleep impairment

Identifiers

PMID37519450
PMCPMC10382912
OpenAlexW4385142282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.