Pregnancy Associated Invasive Apocrine Carcinoma of the Breast: Case Report from Ethiopia
Bibliographic record
Abstract
Haimanot Kasahun Alemu,1 Nazik Hammad,2 Mesfin Asefa Tola,3 Verna Vanderpuye4 1Department of Internal Medicine, Oncology Unit; Saint Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia; 2Department of Medical Oncology, Queen’s University, Kingston, Ontario, Canada; 3Department of Pathology; Saint Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia; 4National Centre for Radiotherapy, Oncology and Nuclear Medicine, Korle Bu Teaching Hospital, Accra, GhanaCorrespondence: Haimanot Kasahun Alemu, Clinical Oncologist, Saint Paul’s Hospital Millennium Medical College, Swaziland Street, PO Box: 13920/1271, Addis Ababa, Ethiopia, Tel +251 930594404, Email haimanotkasahun@gmail.comAbstract: We present a case report on a case of invasive apocrine carcinoma of breast during pregnancy at a tertiary referral hospital in Ethiopia. The patient’s case in this report signifies the challenging clinical situation that the patient, developing fetus and treating physicians have to go through and the need to improve maternal–fetal medicine and oncologic setup and treatment guidelines in Ethiopia. Our case also illustrates the huge disparity between the management of both breast cancer and its occurrence during pregnancy in low-income countries like Ethiopia and developed nations elsewhere. Our case report shows a rare histological finding. The patient has invasive apocrine carcinoma of the breast. To our knowledge, it is the first case to be reported in the country.Keywords: breast cancer, pregnancy, apocrine carcinoma, disparity, case report
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 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".