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Record W3157746910 · doi:10.1210/jendso/bvab048.1449

Design and Baseline Demographics of a Five-Year, Multi-National Observational Cohort Study of Children With Achondroplasia (ACHieve Study)

2021· article· en· W3157746910 on OpenAlexaff
Leanne M. Ward, Josep Maria De Bergua, Marie‐Eve Robinson, Ying Zhang, Carl Decker, Adebola Giwa, R. William Charlton

Bibliographic record

VenueJournal of the Endocrine Society · 2021
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of OttawaChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsAchondroplasiaMedicineGrowth hormone receptorComorbidityInternal medicineNatriuretic peptideEndochondral ossificationFibroblast growth factor receptor 3PediatricsOncologyBioinformaticsBiologyGrowth hormoneFibroblast growth factorReceptor

Abstract

fetched live from OpenAlex

Abstract Background: Achondroplasia (ACH) is the most common form of dwarfism occurring in 1 in 22,000 births (95% CI 18,500 to 26,000). This skeletal dysplasia is caused by a gain-of-function mutation in the fibroblast growth factor receptor 3 (FGFR3) gene located on chromosome 4p16.3 and results in sustained activation of the FGFR3 pathway leading to impaired chondrogenesis and endochondral bone formation. Both typical childhood growth patterns and the impaired linear growth of ACH are modulated by the delicate balance between growth-inhibiting FGFR3/mitogen-activated phosphokinase and growth-promoting c-type natriuretic peptide/natriuretic peptide receptor B. Individuals with ACH frequently develop clinically significant comorbidities, many with onset during childhood. Currently, there are no therapies addressing the underlying pathology. Most available treatments are surgical with goals to alleviate the symptoms from specific comorbidities (i.e. foramen magnum and spinal stenosis or recurrent otitis media). Since the available therapies do not address the underlying etiology, individuals with ACH often undergo multiple surgeries and myriad other forms of supportive care throughout their lives. The precise timing of comorbidity onset and the natural history of many of the skeletal dysplasia features are incompletely defined. This information is needed to inform the design and conduct of pathology-targeted intervention studies. Aim: The purpose of this study is to gather information about the precise timing of comorbidity onset, the longitudinal growth trajectory, and the evolution of body proportionality in children with ACH. Methods and Future Results: The ACHieve study (NCT03875534) is a multi-center, longitudinal, observational cohort study in children with ACH from birth up to 8 years at enrollment. In this non-therapeutic study, children are evaluated every six months for up to 5 years in 25 centers from North America, Europe and Oceania. The first patient was enrolled in 2019 and a total of 84 children have been enrolled to date. At each assessment, children undergo comprehensive anthropometric studies, (including body proportionality measurements and recumbent or standing height) and information on the timing and nature of ACH-related comorbidities and their treatments are collected. Additional information about the baseline demographics, including sex, age distribution, race/ethnicity, and height standard deviation scores will be presented at the time of conference. Conclusions: The ACHieve study will provide additional insight into the natural history of growth, body proportionality, and comorbidities in children with ACH. These observations will serve as a benchmark for future intervention trials targeting the pathology of the underlying skeletal dysplasia.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.070
GPT teacher head0.371
Teacher spread0.300 · 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
Published2021
Admission routes1
Has abstractyes

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