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Record W4389719484 · doi:10.1016/j.spinee.2023.12.002

Spinal manipulation and electrical dry needling as an adjunct to conventional physical therapy in patients with lumbar spinal stenosis: a multi-center randomized clinical trial

2023· article· en· W4389719484 on OpenAlexaff
Ian Young, James Dunning, Raymond Butts, Paul Bliton, Noah Zacharko, Jodan D. Garcia, Firas Mourad, Casey Charlebois, Patrick Gorby, César Fernández‐de‐las‐Peñas

Bibliographic record

VenueThe Spine Journal · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsOrthopaedic Innovation Centre
Fundersnot available
KeywordsMedicineDry needlingAdjunctLumbar spinal stenosisPhysical therapyRandomized controlled trialSpinal stenosisManual therapySpinal manipulationModalitiesLumbarNeurogenic claudicationAcupuncturePhysical medicine and rehabilitationLow back painSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND CONTEXT: Nonoperative management of lumbar spinal stenosis (LSS) includes activity modification, medication, injections, and physical therapy. Conventional physical therapy includes a multimodal approach of exercise, manual therapy, and electro-thermal modalities. There is a paucity of evidence supporting the use of spinal manipulation and dry needling as an adjunct to conventional physical therapy in patients with LSS. PURPOSE: This study aimed to determine the effects of adding thrust spinal manipulation and electrical dry needling to conventional physical therapy in patients with LSS. STUDY DESIGN/SETTING: Randomized, single-blinded, multi-center, parallel-group clinical trial. PATIENT SAMPLE: One hundred twenty-eight (n=128) patients with LSS from 12 outpatient clinics in 8 states were recruited over a 34-month period. OUTCOME MEASURES: The primary outcomes included the Numeric Pain Rating Scale (NPRS) and the Oswestry Disability Index (ODI). Secondary outcomes included the Roland Morris Disability Index (RMDI), Global Rating of Change (GROC), and medication intake. Follow-up assessments were taken at 2 weeks, 6 weeks, and 3 months. METHODS: Patients were randomized to receive either spinal manipulation, electrical dry needling, and conventional physical therapy (MEDNCPT group, n=65) or conventional physical therapy alone (CPT group, n=63). RESULTS: At 3 months, the MEDNCPT group experienced greater reductions in overall low back, buttock, and leg pain (NPRS: F=5.658; p=.002) and related-disability (ODI: F=9.921; p<.001; RMDI: F=7.263; p<.001) compared to the CPT group. Effect sizes were small at 2 and 6 weeks, and medium at 3 months for the NPRS, ODI, and RMDI. At 3 months, significantly (p=.003) more patients in the MEDNCPT group reported a successful outcome (GROC≥+5) than the CPT group. CONCLUSION: Patients with LSS who received electrical dry needling and spinal manipulation in addition to impairment-based exercise, manual therapy and electro-thermal modalities experienced greater improvements in low back, buttock and leg pain and related-disability than those receiving exercise, manual therapy, and electro-thermal modalities alone at 3 months, but not at the 2 or 6 week follow-up.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.035
GPT teacher head0.350
Teacher spread0.315 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2023
Admission routes1
Has abstractyes

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