Preoperative HE4 Tumor Marker and Prognostic Factors in Endometrial Cancer: Review Article
Bibliographic record
Abstract
Purpose of the Review: The aim of the review is to summarize the current evidence of HE4 tumor marker as a prognostic marker of endometrial cancer since it is a novel and not yet validated marker in the management of this neoplasm. Recent Findings: HE4 has been studied as a preoperative prognosis marker and the result is encouraging as it is statistically related to unfavorable prognostic markers in endometrial cancer. Having a preoperative marker that relates with prognosis is a non invasive and cost-effective way to classify the patients before the surgery act. Summary: Clinicians could use HE4 as a prognostic marker to help them in the preoperative decision-making process. Thus, good prognostic patients with a low serum HE4 could have a less invasive surgery avoiding lymphadecnectomy which decrease the morbidity of the procedure and reducing the operative time.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 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".