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Record W3120793310 · doi:10.1186/s40814-020-00745-4

Does curve magnitude in adolescent idiopathic scoliosis (AIS) affect frequency and quality of sport participation? A feasibility study

2021· article· en· W3120793310 on OpenAlexafffund
Michael Youssef, John Soliman, Sarah Burrow, Waleed Kishta, Nicole Simunovic, Andrew Duong, Olufemi R. Ayeni, Devin Peterson

Bibliographic record

VenuePilot and Feasibility Studies · 2021
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsImpactMcMaster University
FundersMcMaster University
KeywordsIdiopathic scoliosisCobb angleMedicineAffect (linguistics)Quality of life (healthcare)Confidence intervalScoliosisPhysical therapyDemographyPsychologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: This pilot study explores whether large adolescent idiopathic scoliosis (AIS) curves (≥ 45°) lead to decreased frequency and quality of sport participation, lower health-related quality of life (HRQL), and more pronounced shortness of breath (SOB) as compared to smaller curvatures (< 45°). METHODS: Patients were divided into two groups based on their spinal curvature: Cobb angle < 45° (n = 31) and ≥ 45° (n = 21). We assessed feasibility outcomes including agreement to be approached, participation, recruitment rates and missing data. All participants completed five questionnaires to assess the frequency and quality of sport participation, HRQL and SOB outcomes. Estimates of effects 95% confidence intervals (CIs) were reported. RESULTS: This study enrolled 52 surgically untreated AIS patients between the ages of 10 and 18 (44 females, 8 males, mean age = 14.60). All feasibility threshold criteria were successfully met (100% agreement to be approached, 100% participation with n ≥ 12 in each group, and 94.2% of patients without missing data). AIS patients with large curvatures (≥ 45°) trended towards decreased frequency and quality of sport participation, more pronounced SOB and worse HRQL outcomes, as compared to patients with smaller curve sizes. CONCLUSION: The study findings show that a study addressing sport participation in the setting of AIS is feasible. The size of curvature in AIS may have an impact on sport participation, HRQL and SOB, but larger studies are required.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.022
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.320
GPT teacher head0.466
Teacher spread0.146 · 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 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

Citations5
Published2021
Admission routes2
Has abstractyes

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