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Record W2344966246 · doi:10.1097/brs.0000000000001645

Motor Control Exercise for Nonspecific Low Back Pain

2016· review· en· W2344966246 on OpenAlex
Bruno Tirotti Saragiotto, Christopher G. Maher, Tiê Parma Yamato, Leonardo Oliveira Pena Costa, Raymond Ostelo, Luciana Macedo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSpine · 2016
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsGlenrose Rehabilitation Hospital
Fundersnot available
KeywordsPhysical medicine and rehabilitationPhysical therapyLow back painMotor controlPain controlMedicineControl (management)PsychologyNeuroscienceAnesthesiaAlternative medicineComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

STUDY DESIGN: A systematic review. OBJECTIVE: The aim of this review was to evaluate the effectiveness of motor control exercise (MCE) in patients with nonspecific low back pain (LBP). SUMMARY OF BACKGROUND DATA: MCE is a common form of exercise used for managing LBP. MCE focuses on the activation of the deep trunk muscles and targets the restoration of control and coordination of these muscles, progressing to more complex and functional tasks integrating the activation of deep and global trunk muscles. METHODS: We conducted electronic searches of CENTRAL, MEDLINE, EMBASE, five other databases, and two trials registers from their inception up to April 2015. Two independent review authors screened the search results, assessed risk of bias, and extracted the data. A third reviewer resolved any disagreement. We included randomized controlled trials comparing MCE with no treatment, another treatment, or as a supplement to other interventions in patients with nonspecific LBP. Primary outcomes were pain intensity and disability. We assessed risk of bias using the Cochrane Back and Neck (CBN) Review Group 12-item criteria. We combined results in a meta-analysis expressed as mean difference and 95% confidence interval. We assessed the overall quality of the evidence using the GRADE approach. RESULTS: We included 32 trials (n = 2628). Most included trials had a low risk of bias. For acute LBP, low to moderate quality evidence indicates no clinically important differences between MCE and spinal manipulative therapy or other forms of exercise. There is very low-quality evidence that the addition of MCE to medical management does not provide clinically important improvements. For recurrence at one year, there is very low-quality evidence that MCE and medical management decrease the risk of recurrence. For chronic LBP, there is low to moderate quality evidence that MCE is effective for reducing pain compared with minimal intervention. There is low to high-quality evidence that MCE is not clinically more effective than other exercises or manual therapy. There is very low to low quality evidence that MCE is clinically more effective than exercise and electrophysical agents (EPAs) or telerehabilitation for pain and disability. CONCLUSION: MCE is probably more effective than a minimal intervention for reducing pain, but probably does not have an important effect on disability, in patients with chronic LBP. There was no clinically important difference between MCE and other forms of exercises or manual therapy for acute and chronic LBP. LEVEL OF EVIDENCE: 1.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.904
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.325
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it