Immune checkpoint inhibitor-associated Vogt-Koyanagi-Harada-like syndrome: A descriptive systematic review
Bibliographic record
Abstract
Abstract Topic Vogt-Koyanagi-Harada (VKH)-like uveitis is uniquely reported with immune checkpoint inhibitors (ICI) and BRAF/MEK inhibitors. This article aims to provide a comprehensive portrait of the comorbidities, ocular presentations, treatments, and visual outcomes of patients with VKH-like uveitis following ICI therapy. Clinical relevance ICIs are increasingly used in cancer therapy, but poorly understood ocular immune-related adverse events (irAEs) can lead to suspension of treatment and be vision-threatening. Methods We conducted a systematic review (PROSPERO #CRD42024558269) according to PRISMA guidelines. MEDLINE, Embase, CENTRAL, and Web of Science were searched for English articles published up to June 28, 2024. All study designs reporting on incident VKH-like uveitis following ICI were included. Risk of Bias was assessed using a tool modified from Murad et al. (2018). Results Of 865 articles, we included 42 articles (4 observational studies, 28 case reports, 6 case series, 3 letters, and 1 editorial) from 12 countries, comprising 52 patients. The mean age was 60.0 ± 11.9 years, and 32 (61.5%) were females. Thirty-six (69.2%) had melanoma, and most were undergoing treatment with a PD-1 inhibitor alone (n = 33, 63.5%) or in combination with a CTLA-4 inhibitor (n = 10, 19.2%). The mean duration of ICI treatment before VKH-like uveitis symptoms was 22.2 ± 29.6 weeks, and the mean duration of ocular symptoms was 16.7 ± 18.6 weeks, with wide variation. Overall, 43 patients (73.1%) had imaging or exams suggesting bilateral involvement and 21 cases (40.4%) suggesting panuveitis. Only 31 cases (59.6%) met the acute initial-onset uveitis criteria, and 15 (28.8%) met the chronic phase criteria. Most (n = 47, 90.4%) required systemic or intravitreal steroids, termination of ICI (n = 31, 59.6%), and experienced full resolution or remission of visual symptoms (n = 43, 82.7%). Most articles (n = 40, 95.2%) were judged to be at medium risk of bias. Conclusion This descriptive systematic review consisted mostly of case reports, but it confirmed that a high proportion of VKH-like uveitis occur with PD-1 inhibitors and melanoma patients. VKH-like uveitis can lead to suspension of treatment. Further collaboration between oncologists and ophthalmologists is needed in the continuum of cancer care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".