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Record W2038691900 · doi:10.1016/s0161-4754(01)27922-6

Treatment of cervical radiculopathy with flexion distraction

2001· article· en· W2038691900 on OpenAlexaff
Ralph A. Kruse, Frank Imbarlina, Vincent F. De Bono

Bibliographic record

VenueJournal of Manipulative and Physiological Therapeutics · 2001
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsCanadian Chiropractic Association
Fundersnot available
KeywordsMedicineDistractionMagnetic resonance imagingSpinal manipulationCervical spineIntervertebral diskSurgeryChiropracticConservative treatmentLumbarRadiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To discuss the nonsurgical treatment of a cervical disk herniation with flexion distraction manipulation. CLINICAL FEATURES: A case study of cervical disk syndrome with radicular symptoms is presented. Magnetic resonance imaging revealed a large C5-C6 disk herniation. Degenerative changes at the affected level were demonstrated on cervical spine plain film radiographs. INTERVENTION AND OUTCOME: The patient received treatment in the form of flexion distraction manipulation and adjunctive therapies. A complete resolution of the patient's subjective complaints was achieved. CONCLUSION: Flexion distraction has been a technique associated with musculoskeletal conditions of the lumbar spine. Flexion distraction applied to the cervical spine might be an effective therapy in the treatment of cervical disk herniations. Although further controlled studies are needed, treatment of cervical disk syndromes with flexion distraction might be a viable form of conservative care.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.287
GPT teacher head0.373
Teacher spread0.087 · 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 designObservational
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

Citations21
Published2001
Admission routes1
Has abstractyes

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