Evidence map›Paper›PMID 38645207›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Design of the COMEBACK and BACKHOME Studies, Longitudinal Cohorts for Comprehensive Deep Phenotyping of Adults with Chronic Low-Back Pain (cLBP): a part of the BACPAC Research Program.

Trisha F Hue, Jeffrey C Lotz, Patricia Zheng, Dennis M Black, Jeannie Bailey, Susan K Ewing, Aaron J Fields, Wolf Mehling, Aaron Scheffler, Irina Strigo and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 17 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 1 institution in 1 country.

Trisha F HueDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Jeffrey C LotzDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Patricia ZhengDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Dennis M BlackDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Jeannie BaileyDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Susan K EwingDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Aaron J FieldsDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Wolf MehlingDepartment of Family and Community Medicine, University of California San Francisco, San Francisco, CA, USA.
Aaron SchefflerDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Irina StrigoDepartment of Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Thomas PettersonDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Lucy A WuDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Conor O'NeillDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
UCSF REACH Center, the CoRe CEnter for PAtient-Centric Mechanistic PHenotyping in Chronic Low Back Pain
University of California, San Francisco · US

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
NIAMS NIH HHS U19 AR076737
6 · The paper itself

Abstract

Objective: The University of California, San Francisco (UCSF) Core Center for Patient-centric, Mechanistic Phenotyping in Chronic Low Back Pain (REACH) is one of the three NIH Back Pain Consortium (BACPAC) Research Programs Mechanistic Research Centers (MRCs). The goal of UCSF REACH is to define cLBP phenotypes and pain mechanisms that can lead to effective, personalized treatments for patients across the population. The primary objective of this research project is to address the critical need for new diagnostic and prognostic markers, and associated patient classification protocols for chronic low back pain (cLBP) treatment. Design: To meet this objective, REACH is conducting two large investigator-initiated translational research cohort studies called: The Longitudinal Clinical Cohort for Comprehensive Deep Phenotyping of Chronic Low-Back Pain (cLBP) Adults Study (comeBACK) and the Chronic Low-Back Pain (cLBP) in Adults Study (BACKHOME). Setting: comeBACK is a longitudinal multicenter in-person observational study of 450 adults with chronic low back pain designed to perform comprehensive deep phenotyping. While, the BACKHOME study is a site-less longitudinal observational e-cohort of approximately 3000 U.S. adults with cLBP. To our knowledge, BACKHOME is the largest prospective remote registry of nationwide adults with cLBP. Methods: Both the comeBACK and BACKHOME studies are collecting a robust and comprehensive set of risk factors, outcomes, and covariates in order to perform deep phenotyping of cLBP patients based on combined biopsychosocial variables to: define cLBP subtypes, establish phenotyping tools for routine clinical evaluation, and lead to improved cLBP outcomes in the future. The data from both studies will be used to establish techniques to develop a patient-centric definition of treatment success and to analyze cLBP patient traits to define clinically useful cLBP phenotypes, using a combination of traditional data analyses and deep learning methods. Conclusions: These 2 pivotal studies, in conjunction with the ancillary studies being performed in both comeBACK and BACKHOME, and the other BACPAC-consortium research projects, we will be able to address a number of diagnostic and therapeutic issues in this complex and diverse patient population with cLBP. These studies will help clarify biopsychosocial mechanisms of cLBP with the aim to provide a foundation to improve the evaluation of treatment effectiveness and to spur new avenues of therapeutic research, including personalized outcome measures that constitute a clinically meaningful treatment effect for individual cLBP patients.

Indexed as

Back PainBACPAC Research Consortiumchronic diseasechronic low back pain (cLBP)chronic paincohortHEALlow back painobservationalphenotyperisk factors

Identifiers

PMID38645207
PMCPMC11030474
OpenAlexW4394765604

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.