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Screening for ocular toxicities of immunotherapy in a real-world population.

2024· article· en· W4400271911 on OpenAlexaffabout
Logan C. Barr, Jacob Rullo, Tara Baetz

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineImmunotherapyPopulationOncologyIntensive care medicineInternal medicineCancerEnvironmental health

Abstract

fetched live from OpenAlex

e24125 Background: Nivolumab, Pembrolizumab, and Ipilimumab have revolutionized the treatment of melanoma. However, patients receiving these treatments risk immunotherapy-related adverse events (IRAEs). IRAEs can occur in any organ system, are treated with steroids or immunosuppressive medications, and may require treatment delay or discontinuation. Ocular IRAEs, which are caused by off-target reactions with ocular immune mechanisms, are often identified after significant damage to the eye. Ocular IRAEs are rare in the literature with an approximate prevalence of 3.3%. After observing intraocular inflammation (uveitis) with uveal depigmentation (pigment release) in some patients receiving immunotherapy, we hypothesized that the rate of such events in a real-world population may be higher than previously reported. We predict ophthalmic screening and early intervention may prevent severe and potentially permanent ocular IRAEs. Methods: Patients starting immunotherapy for melanoma were referred to an ocular screening clinic at the Cancer Centre of Southeastern Ontario (Queen’s University, Kingston, Canada) for baseline ocular assessments. Repeat assessments occurred every three months (single agent) or at every cycle (dual immunotherapy). Intake visits included examination by an attending ophthalmologist, including examination for uveitis and anterior chamber free pigment under high-powered field. Intraocular inflammation (IOI) was defined as the presence of endothelial deposits and/or anterior chamber cell and/or pigment that was not present at baseline. Ocular findings were monitored alongside other IRAEs during treatment. Results: 28 patients (17 male, 11 female) receiving adjuvant (46.4%) or palliative (53.6%) immunotherapy for melanoma were evaluated. 9 of these patients received dual immunotherapy (Ipilimumab/Nivolumab) and 19 received single agent immunotherapy. IOI was identified in 11 patients (39.2%), while only 4 presented with symptoms. None of the patients had overt signs of anterior segment inflammation such as erythema, conjunctival injection, and chemosis. IOI developed in 54.5% of dual immunotherapy-treated patients. Patients with ocular IRAEs were treated with topical/systemic steroids or other immunosuppressive medications. None required discontinuation of immunotherapy. The development of IOI was more common in metastatic patients whose cancer was responding to immunotherapy, and many of these patients sustained IRAEs in other organ systems. Conclusions: Our findings suggest IOI related to ocular IRAEs are quite common and develop in a third of patients receiving immunotherapy for melanoma. Ocular screening for IOI identified early, often asymptomatic toxicities that could progress to permanent visual disability. Further evaluation of dedicated ocular screening is indicated in patients receiving immunotherapy.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.115
GPT teacher head0.458
Teacher spread0.343 · 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 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

Citations1
Published2024
Admission routes2
Has abstractyes

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