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Record W4389576300 · doi:10.2106/jbjs.rvw.23.00110

Effectiveness of Orthotic Treatment on Clinical Outcomes of the Patients with Adolescent Idiopathic Scoliosis Under Different Wearing Compliance Levels

2023· review· en· W4389576300 on OpenAlexaboutno aff
Shan Liu, Lok Yi Ho, Babak Hassan Beygi, Man Sang Wong

Bibliographic record

VenueJBJS Reviews · 2023
Typereview
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCINAHLPhysical therapyMEDLINECochrane LibraryScoliosisCompliance (psychology)Spinal deformityIdiopathic scoliosisMedical prescriptionPatient complianceRandomized controlled trialSurgeryEmergency medicinePsychological intervention

Abstract

fetched live from OpenAlex

BACKGROUND: Wearing spinal orthosis for 16 to 23 hours a day during the teenage years could be challenging and stressful for patients with adolescent idiopathic scoliosis (AIS). The investigation of clinical outcomes under various orthosis-wearing compliances can provide helpful insight into orthotic treatment dosage. This systematic review aims to investigate actual orthosis-wearing compliance and evaluate the effectiveness of orthotic treatment in controlling scoliotic curvature and preventing surgery for patients with AIS under various levels of orthosis-wearing compliance. METHODS: A literature search of 7 electronic databases, namely PubMed, MEDLINE, Cochrane Library, Scopus, CINAHL Complete, Web of Science, and Embase, was conducted on May 19, 2023. Participant characteristics, orthotic treatment protocols, compliance information, outcome measures, and key findings were extracted. The Newcastle-Ottawa Scales were used to evaluate the quality of included cohort and case-control studies. RESULTS: This study systematically reviewed 17 of 1,799 identified studies, including 1,981 subjects. The actual compliance was inconsistent and ranged from 7.0 to 18.8 hours daily. The proportion of compliant subjects in each study varied from 16.0% to 78.6% due to the heterogeneity of calculation period, measurement methods, and orthosis prescription time. Thirteen studies were investigated to determine the effectiveness of orthotic treatment in controlling curve deformity under different compliance groups, and 2 studies compared the compliance under different treatment outcomes. The rate of curve progression, defined as surpassing the measurement error threshold of 5° or 6° after orthotic treatment, varied from 1.8% to 91.7% across the studies. Ten studies defined the treatment failure, surgery, or surgery indication as Cobb angle progressing to a certain degree (e.g., 40°, 45°, or 50°) and reported failure/surgery/surgery indication rates ranging from 0.0% to 91.7% among different compliance level groups. CONCLUSION: This review found that the actual compliance with orthotic treatment was generally lower than the prescribed wearing time and exhibited wide variation among different studies. The electronic compliance monitors show promise in regular orthotic treatment practice. More importantly, the group with higher and consistent compliance has significantly less curve progression and lower surgery or failure rate than the group with lower and inconsistent compliance. Further studies are proposed to investigate the minimal orthosis-wearing compliance in patients with AIS treated with different types of orthoses. LEVEL OF EVIDENCE: Level III, Systematic Review. See Instructions for Authors for a complete description of levels of evidence.

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)0.011
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.387
GPT teacher head0.473
Teacher spread0.086 · 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 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

Citations13
Published2023
Admission routes1
Has abstractyes

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