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Record W1983047279 · doi:10.6000/1927-5129.2014.10.31

ORIGINAL ARTICLE: Efficacy of C1-C2 Sustained Natural Apophyseal Glide (SNAG) Versus Posterior Anterior Vertebral Mobilization (PAVMs) in the Management of Cervicogenic Headache

2014· article· en· W1983047279 on OpenAlexvenueno aff
Muhammad Sarfraz Khan, Syed Shahzad Ali, Rabail Rani Soomro

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCervicogenic headacheHeadachesManual therapySnagRandomized controlled trialMobilizationPhysical therapySurgeryCervical spine

Abstract

fetched live from OpenAlex

Objectives: To determine the effect of a C1-C2 sustained natural apophyseal glide (SNAG) as compare to posterior anterior (PA) vertebral mobilization on cervicogenic headache.Study Design: Randomized Control Trial.Method: The study was conducted on 60 patients with CGH. In this study, patients were divided into two groups, group A and group B equally. Group A of 30 patients received SNAG and at the same time Group B of 30 patients were treated with PAVMs. A pre tested and structured questionnaire was used to collect data. Data was entered and analyzed by using SPSS 19.Outcome Measures: Pain and disability was measured on Visual Analog Scale (VAS) (0-10) and Neck Disability Index (NDI) before and after the treatment.Results: The study showed significant results for both the interventions in the treatment of CGH but SNAG mobilization has been more effective in reducing pain in CGH patients.Conclusions: On the basis of this study, it is proved that cervical SNAGS is more effective for the treatment of cervicegenic headaches as compared to PAVMs.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

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

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 head0.021
GPT teacher head0.310
Teacher spread0.290 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations8
Published2014
Admission routes1
Has abstractyes

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