Evidence map›Paper›PMID 36562563›Full record

ReviewPain medicine (Malden, Mass.)2023

Theoretical Schemas to Guide Back Pain Consortium (BACPAC) Chronic Low Back Pain Clinical Research.

Anthony Chau, Sharis Steib, Evans Whitaker, David Kohns, Alexander Quinter, Anita Craig, Anthony Chiodo, SriKrishan Chandran, Ann Laidlaw, Zachary Schott and 12 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Pain medicine (Malden, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. A meta-model of low back pain to examine collective expert knowledge of treatment effects and their mechanisms.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
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Chronic low back pain causal risk factors identified by Mendelian randomization: a cross-sectional cohort analysis.The spine journal : official journal of the North American Spine Society · 2025
    Observational
  9. Development and application of predictive clinical biomarkers for low back pain care: recommendations from the ISSLS phenotype/precision spine focus group.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 · 2025
    Review
  10. Resident Interventional Spine Course with Didactics and Hands-On Skills Lab.MedEdPORTAL : the journal of teaching and learning resources · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

22 authors.

Anthony ChauDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, California, USA.
Sharis SteibDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.
Evans WhitakerDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, California, USA.
David KohnsDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-0414-0791
Alexander QuinterDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Anita CraigDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.
Anthony ChiodoDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.
SriKrishan ChandranDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.
Ann LaidlawDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.
Zachary SchottDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.
Nathan FarlowDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.
John YarjanianDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.
Ashley OmwangheDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, California, USA.
Ronald WassermanDepartment of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA.
Conor O'NeillDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, California, USA.
Dan ClauwDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Anton BowdenDepartment of Mechanical Engineering, Brigham Young University, Provo, Utah, USA.ORCID 0000-0003-3124-7551
William MarrasDepartment of Integrated Systems Engineering, Ohio State University, Columbus, Ohio, USA.
Tim CareyDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Wolf MehlingDepartment of Family and Community Medicine, University of California San Francisco, San Francisco, California, USA.
C Anthony HuntDepartment of Bioengineering and Therapeutic Sciences, University of California at San Francisco, San Francisco, California, USA.
Jeffrey LotzDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-9654-0647

Funding

UCSF Core Center for Patient-centric Mechanistic Phenotyping in Chronic Low Back PainU19AR076737 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LOTZ, JEFFREY C. · 2019 to 2023
$34.1M
University of Michigan BACPAC Mechanistic Research CenterU19AR076734 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CLAUW, DANIEL J, HASSETT, AFTON L · 2019 to 2023
$12.2M
Wearable nanocomposite sensor system for diagnosing mechanical sources of low back pain and guiding rehabilitationUH3AR076723 · NIAMS · BRIGHAM YOUNG UNIVERSITY · PI BOWDEN, ANTON E. · 2021 to 2021
$1.2M
NIAMS NIH HHS U19 AR076734NIAMS NIH HHS U19 AR076737NIAMS NIH HHS UH3 AR076723
6 · The paper itself

Abstract

backgroundChronic low back pain (cLBP) is a complex with a heterogenous clinical presentation. A better understanding of the factors that contribute to cLBP is needed for accurate diagnosis, optimal treatment, and identification of mechanistic targets for new therapies. The Back Pain Consortium (BACPAC) Research Program provides a unique opportunity in this regard, as it will generate large clinical datasets, including a diverse set of harmonized measurements. The Theoretical Model Working Group was established to guide BACPAC research and to organize new knowledge within a mechanistic framework. This article summarizes the initial work of the Theoretical Model Working Group. It includes a three-stage integration of expert opinion and an umbrella literature review of factors that affect cLBP severity and chronicity.

methodsDuring Stage 1, experts from across BACPAC established a taxonomy for risk and prognostic factors (RPFs) and preliminary graphical depictions. During Stage 2, a separate team conducted a literature review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to establish working definitions, associated data elements, and overall strength of evidence for identified RPFs. These were subsequently integrated with expert opinion during Stage 3.

resultsThe majority (∼80%) of RPFs had little strength-of-evidence confidence, whereas seven factors had substantial confidence for either a positive association with cLBP (pain-related anxiety, serum C-reactive protein, diabetes, and anticipatory/compensatory postural adjustments) or no association with cLBP (serum interleukin 1-beta / interleukin 6, transversus muscle morphology/activity, and quantitative sensory testing).

conclusionThis theoretical perspective will evolve over time as BACPAC investigators link empirical results to theory, challenge current ideas of the biopsychosocial model, and use a systems approach to develop tools and algorithms that disentangle the dynamic interactions among cLBP factors.

Indexed as

Chronic PainLow Back PainHumansPain MeasurementResearch DesignChronic PainLow Back PainMeasurementResearchSpineTheoretical Model

Identifiers

PMID36562563
PMCPMC10403312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.