Evidence map›Paper›PMID 33422525›Full record

ArticleBrain research2021

Accelerated brain aging in chronic low back pain.

Gary Z Yu, Maria Ly, Helmet T Karim, Nishita Muppidi, Howard J Aizenstein, James W Ibinson

Open access · greenAbstract read
In one paragraph

Article in Brain research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
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  11. Increased MRI-based Brain Age in chronic migraine patients.The journal of headache and pain · 2023
    Article
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  13. Review
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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

6 authors at 1 institution in 1 country.

Gary Z YuDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Maria LyCenter for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA.
Helmet T KarimDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Nishita MuppidiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Howard J AizensteinDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
James W IbinsonDepartment of Anesthesiology, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: ibinsonjw@upmc.edu.
University of Pittsburgh · US

Funding

The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
CLINICAL RESEARCH TRAINING IN LATE-LIFE MOOD DISORDERST32MH019986 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Carmen Andreescu · 1997 to 2026
$6.9M
Pitt Integrated Clinical and Geroscience Research Training ProgramT32AG021885 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aditi U Gurkar · 2003 to 2026
$6.7M
Neurobiological drivers of mobility resilience: the dopaminergic systemU01AG061393 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BOHNEN, NICOLAAS IDA, ROSANO, CATERINA · 2018 to 2022
$6.2M
Neuroimaging biomarkers of Mind-Body treatment response in chronic visceral painR01AT007137 · NCCIH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NALIBOFF, BRUCE D, TILLISCH, KIRSTEN · 2011 to 2015
$2.7M
Population Neuroscience of Aging and Alzheimer's Disease (PNA)T32AG055381 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano, Andrea L Rosso · 2018 to 2026
$2.7M
NCCIH NIH HHS R01 AT007137NIA NIH HHS T32 AG021885NIA NIH HHS T32 AG055381NIA NIH HHS U01 AG061393NIMH NIH HHS T32 MH019986NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

Chronic low back pain (CLBP) is a leading cause of disability and is associated with neurodegenerative changes in brain structure. These changes lead to impairments in cognitive function and are consistent with those seen in aging, suggesting an accelerated aging pattern. In this study we assessed this using machine-learning estimated brain age (BA) as a holistic metric of morphometric changes associated with aging. Structural imaging data from 31 non-depressed CLBP patients and 32 healthy controls from the Pain and Interoception Imaging Network were included. Using our previously developed algorithm, we estimated BA per individual based on grey matter density. We then conducted multivariable linear modeling for effects of group, chronological age, and their interaction on BA. We also performed two voxel-wise analyses comparing grey matter density between CLBP and control individuals and the association between gray matter density and BA. There was an interaction between CLBP and greater chronological age on BA such that the discrepancy in BA between healthy and CLBP individuals was greater for older individuals. In CLBP individuals, BA was not associated with sex, current level of pain, duration of CLBP, or mild to moderate depressive symptoms. CLBP individuals had lower cerebellar grey matter density compared to healthy individuals. Brain age was associated with lower gray matter density in numerous brain regions. CLBP was associated with greater BA, which was more profound in later life. BA as a holistic metric was sensitive to differences in gray matter density in numerous regions which eluded direct comparison between groups.

Indexed as

AgingCerebral CortexChronic PainCognitionGray MatterHumansLow Back PainMagnetic Resonance ImagingPain MeasurementAgingChronic low back painMachine learningStructural neuroimaging

Identifiers

PMID33422525
PMCPMC7939694
OpenAlexW3120761251

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.