The Breast Cancer Hormone Receptor Retesting Controversy in Newfoundland and Labrador, Canada: Lessons for the Health System
Bibliographic record
Abstract
The treatment of newly diagnosed breast cancer patients with hormonal treatment is determined by the presence of estrogen receptor and progesterone receptor status in breast cancer. In Newfoundland and Labrador (NL), 425 of 1088 (39.1%) patients who had original "negative" receptor tests conducted between 1997 and 2005, had positive results upon retesting in a specialized laboratory. This commentary addresses (1) the diagnostic utility of estrogen and progesterone testing for breast cancer in general, (2) specific testing problems that occurred in NL, (3) scientific problems associated with retesting, and (4) the impact on public trust and the resulting legal and political responses that occurred as a result of the adverse events associated with false-negative hormone receptor tests. Finally, the lessons learned will be discussed including known high false-negative rates associated with the tests and the bias associated with retesting, the need for quality assurance and national standards, public education, and appropriate communication with patients and the public.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".