Small Cell Carcinoma of the Uterine Cervix Misdiagnosed as Squamous Cell Carcinoma
Bibliographic record
Abstract
Small cell carcinoma of the uterine cervix is a rare tumor. It presents clinical and biological features of both cervical neoplasm such as local aggressiveness, and small cell cancer such as early spread and metastases. To date, an effective treatment protocol is not well established. Case: On March 2009, a 44-year-old pregnant woman with small cell carcinoma of the cervix misdiagnosed initially as squamous cell carcinoma, was treated with chemoradiation followed by surgery and brachytherapy. Twenty-three months later, she experienced brain metastases. A metastasectomy lead to an accurate diagnosis. Palliative whole brain radiotherapy was conducted. The patient died of evolutive disease on August 2012. Conclusion: The optimal therapeutic approach of small cell carcinoma of the cervix is still to define. Further studies regarding multimodal treatment are necessary to achieve a significant survival benefit.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".