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Record W2676669130 · doi:10.51415/10321/2048

The short term effectiveness of cervical spine manipulation as compared to piroxicam administration in the treatment of chronic cervical facet syndrome

2001· dissertation· en· W2676669130 on OpenAlexaboutno aff
Brendan John O'Connor

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChiropracticPiroxicamFacet (psychology)Facet jointNeck painSpinal manipulationManual therapyPhysical therapyCervical spineMedical prescriptionSurgeryAnesthesiaAlternative medicineLumbar

Abstract

fetched live from OpenAlex

For neck pain, the first-line treatment of allopathic physicians is usually the prescription on non-steroidal ant-inflammatory drugs (NSAIDs), whereas the firstline treatment of chiropractic physicians is usually cervical manipulation. The literature shows that both chiropractic manipulation alone and NSAIDs alone are effective for the treatment of cervical facet syndrome, with chiropractic manipulation being much safer than the use of NSAIDs. Furthermore, patients that receive chiropractic care have been shown to generally be much more satisfied than those that receive conventional medical care. The aim of this study was to determine the short-term effectiveness of cervical spine manipulation as compared to Piroxicam administration in the treatment of chronic cervical facet syndrome. The study design that was chosen was that of a comparative clinical trial. Forty consecutive patients diagnosed with chronic facet syndrome of the cervical spine were randomly assigned to either the manipulation group or the NSAID group (twenty patients in each group). Each patient in group A received manipulative therapy of the cervical spine on three consecutive days. Each patient in group B received 40 mg of Adco Piroxicam on the first two days of treatment, and 20 mg daily for the remainder of the seven day treatment period. The patients were assessed by means of objective and subjective data obtained before each consultation on days 1, 3 and 7. The objective data was gathered from algometric pressure-pain threshold readings over the involved facet joint. The subjective information was obtained from the Short-Form McGill Pain Questionnaire, the Numerical Pain Rating Scale - 101 and the CMCC Neck Disability Index, as well as the patients perceived improvement which was recorded as a percentage on days 3 and 7.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.032
GPT teacher head0.361
Teacher spread0.330 · 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 designNon-randomized 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

Citations2
Published2001
Admission routes1
Has abstractyes

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