ArticlePain medicine (Malden, Mass.)2023
The Back Pain Consortium (BACPAC) Research Program Data Harmonization: Rationale for Data Elements and Standards.
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 10 papers.
What it found
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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.
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.
Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Trial
- Bidirectional data harmonization across the multiple chronic disease disparities research consortium: A pipeline description of opportunities and challenges.Journal of biomedical informatics · 2026Article
- Subacute and Chronic Low-Back Pain: From MRI Phenotype to Imaging-Guided Interventions.Diagnostics (Basel, Switzerland) · 2026Review
- Empowering Self-Management of Chronic Low Back Pain Among Spanish and Cantonese Speakers in the United States.Cureus · 2025Article
- Wearable sensor technologies for individuals with back pain: a scoping review.Pain management · 2025Article
- The design and rationale of the Biomarkers for Evaluating Spine Treatments trial: a sequential multiple assignment randomized trial.Pain medicine (Malden, Mass.) · 2025Article
- Correlation of patient reported outcomes among patients with chronic low back pain and controls.BMC musculoskeletal disorders · 2025Article
- Information Extraction from Lumbar Spine MRI Radiology Reports Using GPT4: Accuracy and Benchmarking Against Research-Grade Comprehensive Scoring.Diagnostics (Basel, Switzerland) · 2025Article
- Integrating randomized and observational studies to estimate optimal dynamic treatment regimes.Biometrics · 2024Article
- Wearable Nanocomposite Sensor System for Motion Phenotyping Chronic Low Back Pain: A BACPAC Technology Research Site.Pain medicine (Malden, Mass.) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 5 institutions in 2 countries.
Funding
Abstract
objectiveOne aim of the Back Pain Consortium (BACPAC) Research Program is to develop an integrated model of chronic low back pain that is informed by combined data from translational research and clinical trials. We describe efforts to maximize data harmonization and accessibility to facilitate Consortium-wide analyses.
methodsConsortium-wide working groups established harmonized data elements to be collected in all studies and developed standards for tabular and nontabular data (eg, imaging and omics). The BACPAC Data Portal was developed to facilitate research collaboration across the Consortium.
resultsClinical experts developed the BACPAC Minimum Dataset with required domains and outcome measures to be collected by use of questionnaires across projects. Other nonrequired domain-specific measures are collected by multiple studies. To optimize cross-study analyses, a modified data standard was developed on the basis of the Clinical Data Interchange Standards Consortium Study Data Tabulation Model to harmonize data structures and facilitate integration of baseline characteristics, participant-reported outcomes, chronic low back pain treatments, clinical exam, functional performance, psychosocial characteristics, quantitative sensory testing, imaging, and biomechanical data. Standards to accommodate the unique features of chronic low back pain data were adopted. Research units submit standardized study data to the BACPAC Data Portal, developed as a secure cloud-based central data repository and computing infrastructure for researchers to access and conduct analyses on data collected by or acquired for BACPAC.
conclusionsBACPAC harmonization efforts and data standards serve as an innovative model for data integration that could be used as a framework for other consortia with multiple, decentralized research programs.
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Registered trials
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.