When You Don’t Look But You Do Find: Pragmatic Approach To Management Of Asymptomatic Endometrial Thickening In Postmenopausal Patients
Bibliographic record
Abstract
The endometrium varies in thickness through the menstrual cycle, largely in response to estrogen and progesterone stimulation. Following menopause, the endometrium should remain homogenously atrophied due to the relatively low circulating levels of estrogen. In postmenopausal women, the endometrium is considered thickened when it measures greater than 5 mm. Measuring endometrial thickness includes assessing the width of the anterior and posterior layers of the endometrium made on the midline sagittal image obtained by transvaginal ultrasound. The principal objective of investigating a thickened endometrial lining is to diagnose endometrial hyperplasia or cancer. Patients who experience postmenopausal bleeding and are found to have an endometrial thickness greater than 5 mm necessitate endometrial sampling. However, whether endometrial sampling is required in the absence of symptoms, namely postmenopausal bleeding, is a more nuanced clinical decision. This article provides an approach to evaluating patients presenting with asymptomatic endometrial thickening, including a review of guidelines for when further testing is warranted. It will specifically address unique populations, namely patients using menopausal hormonal therapies as well as those on tamoxifen.
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 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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".