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Record W2368088937 · doi:10.1213/xaa.0000000000000112

Acute Cellular Insulin Resistance and Hyperglycemia Associated with Hypophosphatemia After Cardiac Surgery

2015· article· en· W2368088937 on OpenAlexaff
Esther Garazi, Suzanne Bridge, Anthony Caffarelli, Stephen J. Ruoss, Pieter van der Starre

Bibliographic record

VenueA & A Case Reports · 2015
Typearticle
Languageen
FieldMedicine
TopicHyperglycemia and glycemic control in critically ill and hospitalized patients
Canadian institutionsQueen's UniversityLakeridge Health
Fundersnot available
KeywordsHypophosphatemiaInsulin resistanceMedicineGlycemicInsulinInternal medicineCardiac surgeryObservational studyIntensive care medicineCardiologySurgery

Abstract

fetched live from OpenAlex

Successful glycemic control reduces morbidity and mortality in cardiac surgery patients. Protocols that include insulin infusions are commonly followed to achieve target blood glucose levels. Insulin resistance has been reported and linked to low serum phosphate levels in animal models and studies in diabetic outpatients, but not in postoperative patients. The following case series is a retrospective observational review of 8 cardiac surgery patients who developed insulin resistance early after surgery; this resistance was reversed by correcting serum hypophosphatemia. We discuss the multiple underlying mechanisms causing hypophosphatemia.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.347
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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 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

Citations7
Published2015
Admission routes1
Has abstractyes

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