Delayed presentation, diagnosis, and psychosocial aspects of male breast cancer
Bibliographic record
Abstract
INTRODUCTION: Male breast cancer is uncommon, delay in seeking medical attention often results in late presentation and poor prognosis. METHODS: Retrospective review of a prospectively maintained database was performed. Patients who were still having regular follow-up were contacted for telephone interview. RESULTS: In this study, 56 male breast cancer patients were treated in our center from January 1998 to December 2018, accounting for 0.88% of all breast cancers treated during the same period of time. Median age of onset was 61 years old (Range: 33-95). In this study, 6 (10.7%) patients presented with distant metastasis at the time of diagnosis and received palliative systemic treatment only. And, 50 patients were surgically treated and all had mastectomy. Axillary dissection was performed in 36 (72%) patients, while sentinel node biopsy was performed in 14 (28%) patients. Median tumor size was 23 mm (2-100 mm). A Majority were diagnosed with invasive carcinoma (NOS), while 38 (67.8%) patients were node positive.Here 36 (64.3%) patients were alive at the time of the study, 31 (86.1%) patients responded to the telephone interview. More than 90% of our patients expressed various degrees of embarrassment at the time of breast symptom onset. Similarly, more than 90% of these patients experienced embarrassment while waiting in the breast center with predominant female patients. Most patients (N = 26) were not aware that breast cancer can occur in men prior to the diagnosis. Median duration from symptoms to the first medical consultation was 12.4 months (1-120 months). CONCLUSION: Male breast cancer is rare and patients usually present late, Lack of knowledge, public education, and embarrassment are the important related factors.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".