Complete Remission in Locally Advanced Breast Cancer: What Comprehensive Multi-Modality Treatment Has to Offer in Sub-Saharan Africa
Bibliographic record
Abstract
Locally advanced breast cancer presents as a heterogeneous disease, but it is often best treated with aggressive combined modality therapy. Commonly, it carries a more guarded prognosis. Given the above, it can be a particularly challenging entity to treat in resource-limited settings. We identify one such case with a relative lack of hormone receptor positivity in the sub-Saharan country of Zambia. Management of the disease was hampered by the challenges of resource constraints and communication gaps that are especially acute in low- to middle-income nations as compared to Western societies. However, with skilled interdisciplinary advice and the means available at a tertiary care facility, our patient was able to afford a superior clinical outcome in the form of a pathologic complete response via the use of surgical, systemic, and radiotherapy modalities. Additionally, the ensuing remission was corroborated by a careful follow-up regime. We thus reinforce the feasibility and value of a team-based approach in the management of this disease regardless of the setting.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".