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Record W3159616315 · doi:10.14740/jem.v11i2.730

An Unusual Complication of Cabergoline Treatment of Macroprolactinomas

2021· article· en· W3159616315 on OpenAlexvenueno aff
A. Moumen, S. Chakdoufi, H. El Jadi, Ouijdane Zammani, Cherif Abad El Asri, Ghizlaine Belmejdoub

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2021
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Eye Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsCabergolineMedicineOptic chiasmProlactinomaMagnetic resonance imagingVisual fieldAtrophyComplicationOphthalmologySurgeryRadiologyOptic nerveInternal medicineProlactinHormone

Abstract

fetched live from OpenAlex

Dopamine agonist (DA) treatment is the first choice treatment of prolactinomas. Optic chiasm prolapse with secondary visual deterioration is an unusual and rare complication of DA treatment. A 40-year-old man with giant prolactinoma was successfully treated by cabergoline. After 14 months, he presented with a visual impairment with no ophthalmologic anomalies that could explain this worsening. The pituitary magnetic resonance imaging (MRI) revealed an important shrinkage of prolactinoma with a prolapse and a central atrophy of optic chiasm secondary to the adenoma shrinkage. This case highlights the need of regular assessment of visual field all along cabergoline treatment of macroprolactinomas despite initial improvement or even normalization of visual field, to promptly identify an optic chiasm prolapse and avoid the optic chiasm atrophy. J Endocrinol Metab. 2021;11(2):52-55 doi: https://doi.org/10.14740/jem730

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.332
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

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