Clinicopathological Presentation of Retinoblastoma in Ethiopia
Bibliographic record
Abstract
<b><i>Introduction:</i></b> The presenting symptoms of retinoblastoma in Ethiopia, as well as their relationship to the stage of the disease, are poorly understood, but they could be important as background knowledge for creating early detection initiatives. This study aimed to describe the clinical and histopathological characteristics of retinoblastoma among Ethiopian patients. <b><i>Methods:</i></b> A hospital-based cross-sectional analysis of all children with newly diagnosed retinoblastoma during the study period of May 2015 to December 2019, inclusive, who presented to a tertiary referral center during were included. Demographic, clinical, and histological characteristics were collected and descriptive statistics were done using SPSS Version 20.0 software. <b><i>Results:</i></b> A total of 217 patients (unilateral 84.3%, bilateral 15.7%) were studied. The median age at presentation was 29 months (34 months vs. 19.5 months in unilateral and bilateral cases, respectively, <i>p</i> &#x3c; 0.001). Among all patients, 57.8% were male. Leukocoria was the most common presenting sign (37.3%) and followed by fungating mass (31.8%). Tumors were extraocular in 40.1% of cases. From the intraocular cases, 73.3% were advanced International Intraocular Retinoblastoma Classification Group D or E disease. Sixty-two (54.4%) of the eyes had high-risk pathological features. The median lag time was significantly shorter for intraocular versus extraocular cases (5 months vs. 12 months, respectively, <i>p</i> &#x3c; 0.001). <b><i>Conclusion:</i></b> Our results show that the majority of Ethiopian children with retinoblastoma have delayed presentation and late stage at diagnosis. This suggests that national health promotion campaigns to increase public knowledge on the presenting signs of retinoblastoma may be critical to achieving early diagnosis. Furthermore, the development of standard management guidelines informed by this study will be helpful in managing the complex and advanced cases currently observed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".