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Record W3131195505 · doi:10.1055/s-0041-1725321

Timing of Surgical Intervention in Patients with Pituitary Apoplexy and Cranial Nerves Deficits: Single-Center Experience

2021· article· en· W3131195505 on OpenAlexaff
Mohammad S. Al-Ahmari, Shaun Kilty, Andrea Lasso, Fatmahalzahra Banaz, Sepideh Mohajeri, Pourya Masoudian, André Lamothe, Charles Agbi, Lisa Caulley, Mohammad Alshardan, Fahad Alkherayf

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2021
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPituitary apoplexyMedicineHypopituitarismPituitary tumorsSurgeryPituitary adenomaVomitingCranial nervesPituitary glandNauseaInfarctionAdenomaPathologyHormoneInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

Background: Pituitary tumors account for up to 15% of all intracranial tumors, 90% of which are adenomas. One of the rare but urgent presentations of a pituitary tumor is pituitary apoplexy (PA). Typically, patients with PA present emergently with a symptom cluster that may include sudden severe headache, nausea, vomiting, and new-onset impairment of the visual acuity with or without visual field defect. Occasionally, these patients may exhibit other cranial nerve palsies. These manifestations are due to the sudden increase of the tumor size caused by intratumor hemorrhage and/or infarction. Usually, hypopituitarism develops as a result of gland ischemia. After patient stabilization and hormonal replacement, surgical decompression is often recommended with controversy on the timing of intervention. In this case series, we describe our experience regarding the cranial nerve recovery in patients with pituitary apoplexy following the endoscopic endonasal transsphenoidal (EETS).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.385

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 integrity0.0000.000
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 head0.032
GPT teacher head0.251
Teacher spread0.219 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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