Microinvasive Cervical Adenocarcinoma (FIGO Stage 1A Tumors)
Bibliographic record
Abstract
Although studies suggest that microinvasive cervical adenocarcinoma has an excellent prognosis, none has reported treatment-related complications and many have lacked detailed measurement criteria. Our study looks at the rate of lymph node metastases and outcome, including complications, in patients with FIGO 1A1 and 1A2 adenocarcinomas of the cervix. Invasion was strictly defined, and the method of measurement was standardized. Villoglandular, papillary serous and clear cell carcinomas were excluded, as were tumors in which invasion exceeded 7 mm in width or 5 mm in thickness, with tumor thickness measured from the basement membrane of the overlying endocervical or ectocervical surface to the deepest focus of invasive tumor. A mean follow-up of 54 months (range, 5-159 months) was available for 31 of 32 (97%) patients. A total of 29 of 32 patients underwent hysterectomies, 2 patients had radical trachelectomies, and 1 patient was treated by cone biopsy. One patient received adjuvant radiotherapy. A total of 27 of 32 patients had bilateral pelvic lymph node dissections, and no lymph node metastases were identified. No recurrences have been reported to date. One patient died of metastatic ovarian carcinoma 82 months after her diagnosis of cervical carcinoma. Two of 27 (7%) patients have chronic leg edema secondary to lymph node dissection. Given the excellent prognosis of this tumor, the absence of lymph node metastases and a lymph node dissection complication rate of 7%, less radical surgery should be considered in this low-risk patient population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".