MétaCan
Menu
Back to cohort
Record W2525494667 · doi:10.14740/jmc.v7i10.2595

Perioperative Care of a Child With Williams Syndrome

2016· article· en· W2525494667 on OpenAlexvenueno aff
Karen Miller, Vidya T. Raman, Peter D. Winch, Joseph D. Tobias

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldNeuroscience
TopicWilliams Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePerioperativeWilliams syndromeLaparotomyHeart diseaseAcute coronary syndromeDiseasePediatricsMyocardial infarctionSurgeryInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

The classical clinical and physical findings of Williams syndrome include characteristic dysmorphic features, congenital heart disease, and distinctive behavioral and emotional traits. In addition to acquired and congenital heart disease, manifestations in the renal, endocrine, musculoskeletal, and central nervous system may have implications during the perioperative period. Of primary concern during perioperative care is congenital and acquired heart disease as perioperative sudden death related to abnormalities of the coronary arteries has been reported. We present a 15-month-old child with Williams syndrome, who required anesthetic care for an emergent laparotomy due to an acute abdomen. The potential perioperative implications of Williams syndrome are discussed and previous published reports are reviewed. J Med Cases. 2016;7(10):420-425 doi: http://dx.doi.org/10.14740/jmc2595w

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.315
Teacher spread0.285 · 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 designCase report
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical CasesSame topicWilliams Syndrome ResearchFrench-language works237,207