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Record W2549654250 · doi:10.1097/icb.0000000000000493

ENDOPHTHALMITIS IN A PATIENT TREATED WITH BACILLUS CALMETTE-GUÉRIN IMMUNOTHERAPY

2016· article· en· W2549654250 on OpenAlexaff
Julie Vadboncoeur, Sébastien Olivier, Hafid Soualhine, Annie‐Claude Labbé, Marie-Lyne Bélair

Bibliographic record

VenueRetinal Cases & Brief Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsInstitut National de Santé Publique du QuébecUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineEndophthalmitisMycobacterium bovisSurgeryImmunotherapyBladder cancerBCG vaccineDermatologyTuberculosisInternal medicineCancerMycobacterium tuberculosisPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Intravesical Bacillus Calmette-Guérin (BCG) instillation has become one of the mainstays of adjunctive therapy in the treatment of superficial bladder cancer. Ophthalmologic complications are rare, but few cases are reported in the literature. METHODS: Retrospective observational case report. RESULTS: The authors report a case of unilateral Mycobacterium bovis BCG endophthalmitis after intravesical BCG instillations. Despite appropriate systemic antituberculous and corticosteroid therapy, the patient almost completely lost sight in the affected eye. This is the fourth case in the literature of proven M. bovis endophthalmitis suggesting a direct choroidal mycobacterial infection and not only a hypersensitivity immunologic reaction as previously suggested. CONCLUSION: This case highlights the direct choroidal mycobacterial infection of the disease after BCG instillations for bladder cancer and failure of treatment despite culture-proven drug sensitivity, thus suggesting the need to revaluate adequate treatment to avoid loss of vision.

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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.260
Teacher spread0.246 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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