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Record W4403153480 · doi:10.1210/jendso/bvae163.741

7049 DUNNIGAN LIPODYSTROPHY AND SUCCESSFUL USE OF AID WITH U200

2024· article· en· W4403153480 on OpenAlexaff
Tina Kader, Sean Seltzer, Ashley Williams

Bibliographic record

VenueJournal of the Endocrine Society · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsMcGill University
Fundersnot available
KeywordsLipodystrophyMedicineHuman immunodeficiency virus (HIV)Family medicine

Abstract

fetched live from OpenAlex

Abstract Disclosure: T. Kader: None. S. Seltzer: None. A. williams: None. Our patient is a 60 year old female with dunnigans partiallipodystrophy diagnosed after her niece was diagnosed and was sent to genetics; She was found to have a mutation in LMNA geneand had a heterozygous sequence variant.She was diagnosed with partial lipodystrophy and had macrovascular complications including carotid stenosis requiring surgical intervention.She was treated originally with insulin pump therapy that was sensor augmented along with glp1 agonist and sglt2 inhibitor but she developed recurrent pancreatitis and glp1 agonist was stopped. The pancreatitis was not induced by hypertriglycidemia as her levels were normal.Since then she had poorly controlled diabetes with a1c 8.7 percent and was having some hypoglycemia.;After consultation with the patient about off□ label use of AID pump technology for type 2 diabetes and off□ label use of u200 in AID pump she was willing to try and results were quite impressive with a1c falling close to 7 and time in range up to 70 percent with no lows. Her total insulin dosages were approximately 200 units q day but with u 200 she was changing every 2 days .Despite insulin resistance and dunnigan lipodystrophy this case exemplifies safety of u200 in AID pump in a patient with dunnigans lipodystrophy. It is the first of such report and more studies should be done using this technology in this rare group of patients with insulin resistance and poorly controlled diabetes. Presentation: 6/1/2024

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.155

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 head0.005
GPT teacher head0.209
Teacher spread0.203 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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