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Record W2325501941 · doi:10.1097/yct.0b013e318290fc20

Resolution of Electroconvulsive Therapy Refractory Major Depressive Disorder With Unintentional Hypoglycemic Seizure

2013· article· en· W2325501941 on OpenAlexaff
Joshua D. Rosenblat, Sivakumaran Devarajan

Bibliographic record

VenueJournal of Ect · 2013
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsElectroconvulsive therapyComa (optics)AccidentalHypoglycemiaMedicineMajor depressive disorderRefractory (planetary science)ConvulsionInsulinPsychiatryEpilepsyInternal medicineSchizophrenia (object-oriented programming)Mood

Abstract

fetched live from OpenAlex

We report a 74-year-old white woman with type 1 diabetes and major depressive disorder refractory to multiple medications who received 15 electroconvulsive therapy treatments with minimal improvement. After an accidental hypoglycemic seizure, the patient's symptoms completely resolved. In conclusion, the present case reveals an instance where electroconvulsive therapy-induced seizures appeared to be minimally effective, whereas a single accidental hypoglycemia-induced seizure was incredibly effective for the resolutions of depressive symptoms. Although this case presents a single efficacious use of accidental insulin coma therapy, the applicability is limited because of the known risks of insulin coma therapy.

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 score0.642
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.010
GPT teacher head0.251
Teacher spread0.241 · 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
Published2013
Admission routes1
Has abstractyes

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