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Record W4403613451 · doi:10.1111/dmcn.16124

Incidence of hip problems in developmental central hypotonia: A scoping review

2024· review· en· W4403613451 on OpenAlexaff
Roslyn Livingstone, Ginny Paleg, M. Wade Shrader, Freeman Miller, Elisabet Rodby‐Bousquet

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2024
Typereview
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsMcMaster UniversityUniversity of British Columbia
FundersStiftelsen för Bistånd åt Rörelsehindrade i Skåne
KeywordsHypotoniaMedicinePediatricsMedical diagnosisIncidence (geometry)Muscle HypotoniaPhysical therapyPathology

Abstract

fetched live from OpenAlex

AIM: To describe what is known about hip problems in individuals with developmental central hypotonia. METHOD: Searches were conducted in five databases to October 2023. Down syndrome was excluded from this analysis of less well-known genetic diagnoses. At least two reviewers independently screened titles, abstracts, read full-text articles, and extracted data. RESULTS: Of 89 full-text articles, 79 met inclusion criteria. Studies included 544 individuals aged 1 month to 63 years with Kabuki, 49, XXXXY, Prader-Willi, PURA, Koolen de Vries, Emanuel, TRPM3, Wolf-Hirschhorn, and other rare syndromes. Most diagnoses may be associated with a combination of differences in hip structure or stability that are evident at birth, or develop in early infancy, with increasing hip dysplasia and subluxation over time. Joint or ligamentous laxity was most reported along with hypotonia and hypermobility as risk factors. Limited data were identified about conservative or surgical intervention and outcomes in these populations. INTERPRETATION: Children with significant hypotonia, with or without a confirmed genetic diagnosis, are at increased risk of hip problems that may be missed with standard neonatal screening. Ultrasound is recommended between 6 weeks and 6 months, and annual orthopaedic review with regular radiographs for older children and adults with significant and persistent hypotonia.

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)0.001
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 score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.371
Teacher spread0.294 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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Same venueDevelopmental Medicine & Child NeurologySame topicNeurogenetic and Muscular Disorders ResearchFrench-language works237,207