MétaCan
Menu
Back to cohort
Record W2321706396 · doi:10.1097/dbp.0000000000000262

A Novel Mutation in DMD (c.10797+5G>A) Causes Becker Muscular Dystrophy Associated with Intellectual Disability

2016· article· en· W2321706396 on OpenAlexaff
Rudaina Banihani, Berivan Baskin, William Halliday, Jeff Kobayashi, Anne Kawamura, Laura McAdam, Peter N. Ray, Grace Yoon

Bibliographic record

VenueJournal of Developmental & Behavioral Pediatrics · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsSickKids FoundationHolland Bloorview Kids Rehabilitation HospitalHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMuscular dystrophyIntellectual disabilityCongenital muscular dystrophyMuscle biopsyDystrophinDuchenne muscular dystrophyWechsler Adult Intelligence ScaleMedicineDifferential diagnosisMuscle weaknessNeuropathologyPsychologyPathologyPediatricsInternal medicinePsychiatryBiopsyCognitionDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Severe intellectual disability has been reported in a subgroup of patients with Duchenne muscular dystrophy but is not typically associated with Becker muscular dystrophy. PATIENT: The authors report a 13-year-old boy, with severe intellectual disability (Wechsler Intelligence Scales for Children-IV, Full Scale IQ < 0.1 percentile), attention-deficit hyperactivity disorder, and mild muscle weakness. He had elevated serum creatine kinase and dystrophic changes on muscle biopsy. Dystrophin immunohistochemistry revealed decreased staining with the C-terminal and mid-rod antibodies and essentially absent staining of the N-terminal immunostain. Sequencing of muscle mRNA revealed aberrant splicing due to a c.10797+5G > A mutation in DMD. CONCLUSION: Dystrophinopathy may be associated with predominantly cognitive impairment and neurobehavioral disorder, and should be considered in the differential diagnosis of unexplained cognitive or psychiatric disturbance in males.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.553

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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Developmental & Behavioral PediatricsSame topicMuscle Physiology and DisordersFrench-language works237,207