Evidence map›Paper›PMID 36715642›Full record

ArticlePain medicine (Malden, Mass.)2023

Toward the Identification of Distinct Phenotypes: Research Protocol for the Low Back Pain Biological, Biomechanical, and Behavioral (LB3P) Cohort Study and the BACPAC Mechanistic Research Center at the University of Pittsburgh.

Nam V Vo, Sara R Piva, Charity G Patterson, Gina P McKernan, Leming Zhou, Kevin M Bell, William Anderst, Carol M Greco, Michael J Schneider, Anthony Delitto and 3 more

Open access · hybridAbstract read
In one paragraph

Article 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Real-world two-year durability of restorative neurostimulation for treatment of multifidus dysfunction in patients with chronic low back pain: an observational German cohort study.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
    Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

13 authors at 1 institution in 1 country.

Nam V VoDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.
Sara R PivaDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, United States.
Charity G PattersonDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, United States.
Gina P McKernanDepartment of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.
Leming ZhouDepartment of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, United States.
Kevin M BellDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, United States.
William AnderstDepartment of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.
Carol M GrecoDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, United States.ORCID 0000-0002-3078-2918
Michael J SchneiderDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, United States.
Anthony DelittoSchool of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, United States.
Brad E DiciannoDepartment of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.
Jessa DarwinDepartment of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.ORCID 0000-0003-3360-2043
Gwendolyn A SowaFerguson Laboratory for Orthopaedic and Spine Research, Department of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, United States.
University of Pittsburgh · US

Funding

Influence of inflammation-related genetic variants on PT treatment response in a population affected by CLBPU19AR076725 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SOWA, GWENDOLYN A, VO, NAM V · 2019 to 2023
$21.7M
NIAMS NIH HHS U19 AR076725
6 · The paper itself

Abstract

As a member of the Back Pain Consortium (BACPAC), the University of Pittsburgh Mechanistic Research Center's research goal is to phenotype chronic low back pain using biological, biomechanical, and behavioral domains using a prospective, observational cohort study. Data will be collected from 1,000 participants with chronic low back pain according to BACPAC-wide harmonized and study-specific protocols. Participation lasts 12 months with one required in person baseline visit, an optional second in person visit for advanced biomechanical assessment, and electronic follow ups at months 1, 2, 3, 4, 5, 6, 9, and 12 to assess low back pain status and response to prescribed treatments. Behavioral data analysis includes a battery of patient-reported outcomes, social determinants of health, quantitative sensory testing, and physical activity. Biological data analysis includes omics generated from blood, saliva, and spine tissue. Biomechanical data analysis includes a physical examination, lumbopelvic kinematics, and intervertebral kinematics. The statistical analysis includes traditional unsupervised machine learning approaches to categorize participants into groups and determine the variables that differentiate patients. Additional analysis includes the creation of a series of decision rules based on baseline measures and treatment pathways as inputs to predict clinical outcomes. The characteristics identified will contribute to future studies to assist clinicians in designing a personalized, optimal treatment approach for each patient.

Indexed as

Low Back PainBack PainCohort StudiesHumansObservational Studies as TopicPhenotypeProspective Studiesbiomarkersbiomechanicsbiopsychosocialchronic low back painphenotype

Identifiers

PMID36715642
PMCPMC10403299
OpenAlexW4318542918

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.