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Record W4392715994 · doi:10.1136/jmg-2023-109438

Diagnosis and management in Rubinstein-Taybi syndrome: first international consensus statement

2024· article· en· W4392715994 on OpenAlexaff
Didier Lacombe, Agnès Bloch‐Zupan, Cecilie Bredrup, Edward B. Cooper, Sofia Douzgou, Sixto García‐Miñáur, Hülya Kayserili, Lidia Larizza, Vanesa López González, Leonie A. Menke, Donatella Milani, Francesco Saettini, Cathy A. Stevens, Lloyd Tooke, Jill A Van der Zee, Maria M. van Genderen, Julien Van‐Gils, Jane Waite, Jean-Louis Adrien, Oliver Bartsch, Pierre Bitoun, A. H. M. Bouts, Anna M. Cueto‐González, Elena Domínguez‐Garrido, Floor A.M. Duijkers, Patricia Fergelot, Elizabeth J. Halstead, Sylvia Huisman, Camilla Meossi, Jo Mullins, Sarah M. Nikkel, Chris Oliver, Elisabetta Prada, Alessandra Rei, Ilka Riddle, Cristina Rodriguez-Fonseca, Rebecca Rodríguez Pena, Janet Russell, Alicia Saba, Fernando Santos‐Simarro, Brittany Simpson, David F. Smith, Markus F. Stevens, Katalin Szakszon, Emmanuelle Taupiac, Nadia Totaro, Irene Valenzuena Palafoll, Daniëlle C M Van Der Kaay, Michiel P. van Wijk, Klea Vyshka, Susan Wiley, Raoul C. M. Hennekam

Bibliographic record

VenueJournal of Medical Genetics · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital limb and hand anomalies
Canadian institutionsUniversity of British Columbia
FundersEuropean Commission
KeywordsRubinstein–Taybi syndromeStatement (logic)Computer scienceMedicineGeneticsBiologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Rubinstein-Taybi syndrome (RTS) is an archetypical genetic syndrome that is characterised by intellectual disability, well-defined facial features, distal limb anomalies and atypical growth, among numerous other signs and symptoms. It is caused by variants in either of two genes ( CREBBP , EP300 ) which encode for the proteins CBP and p300, which both have a function in transcription regulation and histone acetylation. As a group of international experts and national support groups dedicated to the syndrome, we realised that marked heterogeneity currently exists in clinical and molecular diagnostic approaches and care practices in various parts of the world. Here, we outline a series of recommendations that document the consensus of a group of international experts on clinical diagnostic criteria for types of RTS (RTS1: CREBBP ; RTS2: EP300 ), molecular investigations, long-term management of various particular physical and behavioural issues and care planning. The recommendations as presented here will need to be evaluated for improvements to allow for continued optimisation of diagnostics and care.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.013
GPT teacher head0.285
Teacher spread0.273 · 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 designNot applicable
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

Citations37
Published2024
Admission routes1
Has abstractyes

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