Delayed Onset of Central Serous Chorioretinopathy following Corticosteroid Treatment for Giant Cell Arteritis: A Case Report
Bibliographic record
Abstract
Introduction: Central serous chorioretinopathy (CSCR) is a known complication of corticosteroid use, characterized by the accumulation of subretinal fluid (SRF), which can lead to changes in vision. Giant cell arteritis (GCA) is a systemic vasculitis that often necessitates high-dose corticosteroid treatment to prevent serious complications including permanent vision loss. Although the association between CSCR and corticosteroids is well established, its occurrence in patients diagnosed with GCA remains rarely reported in literature. Case Presentation: We present a case of a 71-year-old man who developed CSCR following 6 months of corticosteroid treatment for GCA. The patient presented with decreased vision in the left eye for 10 days, prompting ophthalmologic evaluation. Initial visual acuity (VA) was measured at 20/60, and OCT identified the presence of SRF, confirming CSCR as the underlying etiology. Following gradual tapering of his prednisone dosage, subsequent OCT confirmed significant reduction in SRF, with VA improving to 20/30 within 3 months. Conclusion: This case highlights the importance of considering CSCR in the differential diagnosis of new or worsening visual symptoms in GCA patients receiving corticosteroids. The risk for corticosteroid-induced CSCR in these patients creates a diagnostic challenge, as worsening vision may be incorrectly attributed to disease progression rather than being recognized as a treatment-related adverse effect. This case emphasizes the importance of early recognition of CSCR and highlights the need for interdisciplinary collaboration between rheumatologists and ophthalmologists to ensure appropriate management for patients with GCA.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".