Central Serous Chorioretinopathy With Multiple Leakage Points in a Young Female Patient Without Detected Risk Factors
Bibliographic record
Abstract
Central Serous Chorioretinopathy (CSR) is characterized by the accumulation of subretinal fluid at the posterior pole of the fundus, causing serous detachment of the neurosensory retina and / or retinal pigment epithelium. CSR typically affects young and middle-aged men between 20 and 40 years old with type-A personality and is associated with emotional stress. A 21-year-old non-pregnant female presented with a 2-day history of acute, sudden, painless loss of vision and metamorphopsia at the right eye. She complainted also for a central scotoma. On examination of the right eye, the best-corrected visual acuity (BCVA) was 3 / 10. Dilated fundus examination revealed a neurosensory serous detachment and the diagnosis of CSR was confirmed by fluorescein angiography and optical coherence tomography (OCT). Interestingly, the fluorescein angiography revealed multiple leakage points of the dye related to retinal pigmented epithelium defects, while OCT demonstrated a significantly increased retinal thickness. The most astonishing feature of this case report is that it concerns a female patient with acute CSR without any detected risk factors that was characterized by significantly high retinal thickness in OCT in parallel with multiple leakages in fluorescein angiography. As a result, CSR should be taken into account in the differential diagnosis of sudden, painless loss of vision, although the patient may be female without risk factors. doi:10.4021/jmc580w
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".