Breast Carcinoma in Uganda: Microscopic Study and Receptor Profile of 45 Cases
Bibliographic record
Abstract
Abstract Context. —Histologic and receptor data on breast carcinoma in Uganda are scarce. Estrogen receptor status is not routinely available. Breast cancer blocks from Uganda were studied in Montreal, Canada, and clinical correlations subsequently discussed in Kampala, Uganda. Objective. —To correlate histologic features (tumor type, histologic grade), receptor profile (estrogen receptor, progesterone receptor, and HER2/ neu ), and age in Ugandan women. Design. —Pathology reports for 2000–2004 from Nsambya Hospital, reporting invasive breast carcinoma, provided 45 microscopically confirmed cases. Results. —Seventy-three percent of patients were 50 years or younger. Histologic types were invasive ductal carcinoma (78%) and “good” prognosis types (11%). Overall 40% were grade 3, but 48% of invasive ductal carcinomas were grade 3. Estrogen receptor was positive in 60% overall and in 51% of invasive ductal carcinomas. HER2/ neu was overexpressed in 11%; 36% were “triple” negative (estrogen receptor, progesterone receptor, HER2/ neu negative). Conclusions. —Breast carcinoma in Ugandan women presents at a younger age and is histologically and by receptor profile more aggressive than carcinoma in Caucasian women.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".