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Record W3172773967 · doi:10.17554/ijo.v8i2.3070

Effectiveness of traditional Chinese and Western Scoliosis-specific Exercises and Practices for Treating Adult Idiopathic Scoliosis: A Systematic Review and Meta-analysis

2021· review· en· W3172773967 on OpenAlexaff
Andy Jin, Peter C. Zhu

Bibliographic record

VenueInternational Journal of Orthopaedics · 2021
Typereview
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMedicineIdiopathic scoliosisCobb angleScoliosisMeta-analysisPhysical therapyCobBPsychological interventionQuality of life (healthcare)SurgeryInternal medicineNursing

Abstract

fetched live from OpenAlex

Background: Non-surgical treatments for adult idiopathic scoliosis is sometimes prescribed for patients as an alternative to surgical interventions, but their effectiveness is uncertain. Objective: To evaluate the effectiveness of the Schroth method, SEAS, and TCM on reducing Cobb angle in adult idiopathic scoliosis. Study Design: Systematic review and meta-analysis. Methods: Database indexing services were used to search for applicable studies. Studies are eligible if their subjects are adults, used Schroth, SEAS, or TCM, and reported pre- and post-treatment Cobb angles. Meta-analysis was performed to determine effectiveness and compare the methods. Results: With support from select, low-quality articles with unclear to high risk of bias, Schroth, SEAS, and TCM are effective in reducing Cobb angle for adult patients with idiopathic scoliosis. Conclusion: Alternate, non-surgical methods for treating adult idiopathic may be effective in reducing Cobb angle. However, further high-quality research must be conducted to validate the effectiveness. Keywords : Adult idiopathic scoliosis, Schroth, SEAS, traditional Chinese medicine

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.394
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.003
Bibliometrics0.0010.001
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 head0.124
GPT teacher head0.422
Teacher spread0.298 · 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.

Study designSystematic review
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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