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Record W2061456188 · doi:10.4021/jmc.v4i11.1445

Perioperative Care of a Child With ROHHADNET Syndrome

2013· article· en· W2061456188 on OpenAlexvenueno aff
Anatoliy Goykhman, Jill Fitch, Joseph D. Tobias

Bibliographic record

VenueJournal of Medical Cases · 2013
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypoxemiaAnestheticIntensive care medicinePerioperativeAnesthesiaObesity hypoventilation syndromeNeural crestLaryngoscopyAirwayIntubationObstructive sleep apnea

Abstract

fetched live from OpenAlex

ROHHAD syndrome is an acronym, coined in 2007, that outlines a syndrome including r apid-onset o besity, h ypothalamic dysfunction, h ypoventilation, and a utonomic d ysregulation. Common signs and symptoms include obesity, electrolyte imbalance, hypoxemia, thermal dysregulation, and gastrointestinal dysmotility. The high prevalence of neural crest tumors has led to a modification of the acronym to ROHHAD-NET when a neural crest tumor is present. Many of the findings have implications for anesthetic management. We present a 6-year-old girl with ROHHAD syndrome who presented for direct laryngoscopy, bronchoscopy, and adenotonsillectomy. Previous reports of anesthetic care for these patients are reviewed, the end-organ involvement discussed, and options for anesthetic care presented. doi: http://dx.doi.org/10.4021/ jmc1445w

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.999

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)0.0020.000

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 head0.010
GPT teacher head0.279
Teacher spread0.268 · 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 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

Citations7
Published2013
Admission routes1
Has abstractyes

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