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Record W1540799696 · doi:10.3171/2015.2.peds14656

Intracystic interferon-α treatment leads to neurotoxicity in craniopharyngioma: case report

2015· article· en· W1540799696 on OpenAlexaff
Julia Sharma, Christopher M. Bonfield, Ash Singhal, Juliette Hukin, Paul Steinbok

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2015
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineContraindicationNeurotoxicityCraniopharyngiomaChemotherapyOmmaya reservoirSurgeryCystCentral nervous systemScarsPathologyInternal medicineToxicity

Abstract

fetched live from OpenAlex

Craniopharyngioma is a benign, cystic suprasellar tumor that can be treated with intracystic chemotherapy. Interferon-α (IFN-α) has been gaining popularity as an intracystic treatment for craniopharyngioma because of its efficacy and supposed benign neurotoxicity profile. In this case report the authors describe a patient who, while receiving intracystic IFN-α, suffered a neurological event, which was believed to be related to drug leakage outside the cyst. This is the first report of a focal neurological deficit potentially attributable to intracystic IFN-α therapy, highlighting the fact that IFN-α may have neurotoxic effects on the central nervous system. Given this case and the results of a literature review, the authors suggest that a positive leak test is a relative contraindication to intracystic IFN-α treatment.

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)0.002
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0060.004
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 head0.047
GPT teacher head0.310
Teacher spread0.263 · 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

Citations20
Published2015
Admission routes1
Has abstractyes

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