ArticlePain medicine (Malden, Mass.)2023
Biomechanical Phenotyping of Chronic Low Back Pain: Protocol for BACPAC.
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 18 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
18 citing papers in PubMed, 21 citations in OpenAlex.
- Baseline characteristics of participants in the Biomarkers for Evaluating Spine Treatments clinical trial: a sequential multiple assignment randomized trial for chronic low back pain†.Pain medicine (Malden, Mass.) · 2025Trial
- AI-Supported Functional Pain Phenotyping in Low Back Pain Using Sensor-Based Gait and Neuromuscular Biomarkers.Sensors (Basel, Switzerland) · 2026Article
- 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 · 2026Article
- Automated Annotation of Pain Chronicity in Patients With Back Pain by Using Electronic Health Records: Retrospective Study.JMIR formative research · 2026Article
- In-Field Ecological Momentary Assessment From Wearable Motion Sensors and Self-Report in a Chronic Low Back Pain Cohort.JOR spine · 2026Article
- Lumbopelvic Kinematics During Functional Tasks in a Chronic Low Back Pain Observational Cohort.JOR spine · 2025Article
- Mobile Health (mHealth) for Chronic Low Back Pain Assessment: Design, Development, and Usability Evaluation.JOR spine · 2025Article
- InertialMov: Machine Learning Test Based on Inertial Sensors to Predict Mobility Impairment in Low Back Pain Patients.Sensors (Basel, Switzerland) · 2025Article
- Wearable sensor technologies for individuals with back pain: a scoping review.Pain management · 2025Article
- A meta-model of low back pain to examine collective expert knowledge of the effects of treatments and their mechanisms.Research square · 2025Article
- Review
- 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
- 3D motion capture data into a kinematic composite score for assessing musculoskeletal impairments.Journal of biomechanics · 2025Article
- Intervertebral Lumbar Spine Kinematics in Chronic Low Back Pain Patients Measured Using Biplane Radiography.JOR spine · 2025Article
- The Back Pain Consortium (BACPAC) Research Program Data Harmonization: Rationale for Data Elements and Standards.Pain medicine (Malden, Mass.) · 2023Article
- Wearable Nanocomposite Sensor System for Motion Phenotyping Chronic Low Back Pain: A BACPAC Technology Research Site.Pain medicine (Malden, Mass.) · 2023Article
- Dynamic segmental kinematics of the lumbar spine during diagnostic movements.Frontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 1 country.
Funding
Abstract
objectiveBiomechanics represents the common final output through which all biopsychosocial constructs of back pain must pass, making it a rich target for phenotyping. To exploit this feature, several sites within the NIH Back Pain Consortium (BACPAC) have developed biomechanics measurement and phenotyping tools. The overall aims of this article were to: 1) provide a narrative review of biomechanics as a phenotyping tool; 2) describe the diverse array of tools and outcome measures that exist within BACPAC; and 3) highlight how leveraging these technologies with the other data collected within BACPAC could elucidate the relationship between biomechanics and other metrics used to characterize low back pain (LBP).
methodsThe narrative review highlights how biomechanical outcomes can discriminate between those with and without LBP, as well as among levels of severity of LBP. It also addresses how biomechanical outcomes track with functional improvements in LBP. Additionally, we present the clinical use case for biomechanical outcome measures that can be met via emerging technologies.
resultsTo answer the need for measuring biomechanical performance, our "Results" section describes the spectrum of technologies that have been developed and are being used within BACPAC. CONCLUSION AND FUTURE DIRECTIONS: The outcome measures collected by these technologies will be an integral part of longitudinal and cross-sectional studies conducted in BACPAC. Linking these measures with other biopsychosocial data collected within BACPAC increases our potential to use biomechanics as a tool for understanding the mechanisms of LBP, phenotyping unique LBP subgroups, and matching these individuals with an appropriate treatment paradigm.
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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.