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Record W2792034372 · doi:10.5376/ijccr.2018.08.0001

All-trans Retinoic Acid-induced Pseudotumor Cerebri during Treatment of Acute Promyelocytic Leukemia: A Case Report

2018· article· en· W2792034372 on OpenAlexvenueno aff
Alok Ranjan, Harsha Panchal, Asha Anand, Apurva Patel, Sonia Parikh, Sandip Shah

Bibliographic record

VenueInternational Journal of Clinical Case Reports · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsnot available
Fundersnot available
KeywordsAcute promyelocytic leukemiaPseudotumor cerebriRetinoic acidMedicineLeukemiaTretinoinCancer researchInternal medicineChemistrySurgeryBiochemistryIntracranial pressureGene

Abstract

fetched live from OpenAlex

All-trans retinoic acid (ATRA), is a first line treatment of acute promyelocytic leukemia (APML). It is a derivative of vitamin A, and a relatively safe drug, but use of ATRA can lead to side effects including some life-threatening conditions such as differentiation syndrome and pseudotumor cerebri (PC). PC is a rare disorder characterized by headache, papilledema, and/or vision loss despite normal composition of cerebrospinal fluid and normal radiological imaging of brain. It may arise as a complication of ATRA during treatment of APML. ATRA induced PC occurs predominantly in the pediatric age group. We report a rare case of ATRA-induced PC in an adult, 25 year old female undergoing consolidation treatment for APML. On discontinuation of ATRA and treatment with acetazolamide and corticosteroids symptoms improved within 5 days. ATRA was reinstituted within 2 weeks at reduced dose with prophylactic acetazolamide. Later ATRA was tolerated well by the patient and consolidation therapy was completed.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.218
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.037
GPT teacher head0.382
Teacher spread0.345 · 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 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

Citations1
Published2018
Admission routes1
Has abstractyes

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