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Record W2384087362

Clinical Observation on 60 Cases of Nerve Root Type of Cervical Spondylosistreated by Rotation and Intermittent Traction from Different Angles

2009· article· en· W2384087362 on OpenAlexaboutno aff
Jiu Tao

Bibliographic record

VenueChinese Journal of Traditional Medical Traumatology & Orthopedics · 2009
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCervical spondylosisTraction (geology)Nerve rootOrthopedic surgerySurgeryAnesthesia
DOInot available

Abstract

fetched live from OpenAlex

Objective:To observe the curative effect of rotation plus intermittent traction from different angles in the treatment of nerve root type of cervical spondylosis.Methods: From December 2006 to December 2007,60 patients with nerve root type of cervical spondylosis,who visited the department of orthopedics in affiliated hospital of Shaanxi College of TCM,were selected in the present study and randomly divided into treatment group(treated with rotation plus intermittent traction from different angles) and control group(treated with neutral-position traction).Yasuhisa Tanaka's assessment system and simplified McGill pain questionnaire were adopted to evaluate the pain.Results:The total effective rate in the treatment group was remarkably higher than that in control group(P0.05).Compared with before the treatment,there was significant difference in the pain scores after treatment in the treatment group(P0.01).After the treatment,the pain scores between the treatment group and control group were significantly different(P0.05),with better effect in treatment group than in control group.Conclusion:The therapy of rotation plus intermittent traction from different angles is superior to vertical traction in treating nerve root type of cervical spondylosis.

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: Observational
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)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.073
GPT teacher head0.356
Teacher spread0.283 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueChinese Journal of Traditional Medical Traumatology & OrthopedicsSame topicCervical and Thoracic MyelopathyFrench-language works237,207