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Record W3035205187 · doi:10.1097/cji.0000000000000324

Laryngeal Tuberculosis in a Patient on Avelumab for Metastatic Nasopharyngeal Carcinoma

2020· article· en· W3035205187 on OpenAlexaff
Jin Soo Song, Caroline C. Jeffery

Bibliographic record

VenueJournal of Immunotherapy · 2020
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineAvelumabHead and neck cancerNivolumabDysphagiaImmunotherapyOncologyDiseaseTuberculosisHead and neck squamous-cell carcinomaInternal medicineComplicationCancerSurgeryPathology

Abstract

fetched live from OpenAlex

Increasing numbers of head and neck cancer patients are placed on immune checkpoint inhibitors for indications such as recurrent and metastatic disease. There is a theoretical increased risk of contracting and reactivation of tuberculosis (TB) with programmed cell death-1 blockade due to potentiation of type 1 T helper response and increased production of interferon-gamma. This is a potentially life-threatening complication of therapy and requires expedient diagnosis and treatment. We present a case of a patient with metastatic nasopharyngeal carcinoma treated with avelumab, a programmed cell death-ligand 1 inhibitor with resulting laryngeal TB as the presenting symptom of reactivated TB. The patient required quadruple anti-TB therapy, but developed ongoing sequelae of laryngeal TB, including dysphagia and laryngeal stenosis. Ongoing trials are examining the use of avelumab in head and neck cancer patients with locally advanced disease, recurrent, or metastatic disease. Awareness of the risk of new and reactivated TB is crucial.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.021
GPT teacher head0.276
Teacher spread0.256 · 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 designObservational
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

Citations7
Published2020
Admission routes1
Has abstractyes

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