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Record W2553167212 · doi:10.1155/2016/1725287

Disseminated Cryptococcal Disease in Non-HIV, Nontransplant Patient

2016· article· en· W2553167212 on OpenAlex
Fatimah AlMutawa, Daniela Leto, Zain Chagla

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCase Reports in Infectious Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsSt. Joseph’s Healthcare HamiltonHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsMedicineFluconazoleFungemiaImmunosuppressionCyclophosphamideFludarabineRituximabAmphotericin BSurgeryChemotherapyCryptococcosisInternal medicineMycosisImmunologyLymphomaDermatologyAntifungal

Abstract

fetched live from OpenAlex

Disseminated cryptococcal infection carries a high risk of morbidity and mortality. Typical patients include HIV individuals with advanced immunosuppression or solid organ or hematopoietic transplant recipients. We report a case of disseminated cryptococcal disease in a 72-year-old male who was immunocompromised with chronic lymphocytic leukemia and ongoing chemotherapy. The patient presented with a subacute history of constitutional symptoms and headache after he received five cycles of FCR chemotherapy (fludarabine/cyclophosphamide/rituximab). Diagnosis of disseminated cryptococcal disease was made based on fungemia in peripheral blood cultures with subsequent involvement of the brain, lungs, and eyes. Treatment was started with liposomal amphotericin, flucytosine, and fluconazole as induction. He was discharged after 4 weeks of hospitalization on high dose fluconazole for consolidation for 2 months, followed by maintenance 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.

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)0.001
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 score0.228
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.006
GPT teacher head0.253
Teacher spread0.247 · 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