Does histology influence prognosis in patients with early-stage cervical carcinoma?
Bibliographic record
Abstract
BACKGROUND: The objective of this study was to examine the influence of histology on the outcome of patients with surgically treated, Stage IA-IB carcinoma of the uterine cervix. METHODS: All patient information was collected prospectively and was extracted subsequently from the University of Toronto cervical carcinoma surgery data base. Selection criteria for surgery were based on tumor size and were independent of histology. Patients with adenocarcinoma were separated into two groups: those with mucinous/endometrioid adenocarcinoma (M/E AC) and those with adenosquamous/clear cell adenocarcinoma (AS/CC AC). Statistical analysis used Wilcoxon rank tests, Mantel-Hanzel tests, chi-square tests, and Cox regression analyses. RESULTS: Between July 1984 and January 2000, 880 patients with Stage IA-IB cervical carcinoma underwent radical surgery, including pelvic lymphadenectomy, as the primary treatment. Two hundred fifty-five patients had M/E AC (29%), 81 patients had AS/CC AC (9%), and 544 patients had squamous cell carcinoma (SCC; 62%). Compared with patients who had SCC, patients with M/E AC had significantly more favorable prognostic characteristics: age (median, 39 years vs. 41 years; P < 0.03), depth of invasion (3.7 mm vs. 5.5 mm; P < 0.001), vascular space involvement (24% vs. 57%; P < 0.0001), Grade 2-3 tumor (40% vs. 78%; P < 0.0001), and pelvic lymph node metastases (4% vs. 8%; P < 0.04), respectively. Characteristics among patients with AS/CC AC tended have values similar to the median values for patients with SCC (or intermediate between the values for patients with M/E AC and the values for patients with SCC): age (38 years), depth of invasion (6 mm), vascular space involvement (40%), Grades 2-3 (70%), and pelvic lymph node metastases (6%). The 2-year and 5-year recurrence free survival rate was similar between patients with M/E AC and patients with SCC (95% vs. 94% and 90% vs. 90%, respectively); however, both were significantly superior to the rates for patients with AS/CC AC (2-year recurrence free survival rate: 86%, P < 0.03; 5-year recurrence free survival rate: 81%, P % 0.03). There were no differences in the pattern of first recurrence by histology. CONCLUSIONS: Patients with surgically treated Stage IA-IB cervical carcinoma with M/E AC and SCC histology have a similar prognosis. For patients with disease with AS/CC AC histology, the current results and the literature indicate that patients with uncommon histologies have an inferior recurrence free survival rate. Although the optimal therapy for these patients remains undefined, there is no obvious rationale for altering the treatment strategies from those currently employed for patients with M/E AC and SCC.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".