Massive Spontaneous Suprachoroidal Hemorrhage in a Patient With Type 1 Chronic Myeloid Leukemia and Lymphoplasmacytic Lymphoma: Case Report and Review of the Literature
Bibliographic record
Abstract
Purpose: This work reports a rare case of spontaneous suprachoroidal hemorrhage (SSCH) and summarizes the literature on its treatment options and outcomes. Methods: A case report and comprehensive literature review are presented on the medical and surgical management of SSCH on PubMed from 1998 to 2021. Results: The literature search revealed 58 studies, 33 of which included 52 eyes of 47 patients. Surgical treatment typically consisted of choroidal drainage with posterior sclerotomies combined with pars plana vitrectomy and silicone oil placement. Medical therapy involved intraocular pressure control with laser peripheral iridotomy and topical, oral, and intravenous medication. Conclusions: In cases of SSCH, conservative management and a prompt workup should be initiated to identify the cause before proceeding with surgery. If the initial workup does not reveal a cause, medical and surgical treatments are both viable and the decision is at the discretion of the treating physician.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".