Bibliographic record
Abstract
Amenorrhea, the absence of menstrual periods in women of reproductive age, is a multifaceted and clinically significant gynecological condition that can have various underlying causes and far-reaching implications for a woman’s overall health and well-being. This abstract provides a concise overview of amenorrhea, encompassing its classification, etiology, clinical presentation, and management. Amenorrhea can be categorized into two primary types: Primary and secondary. Primary amenorrhea refers to the absence of menstruation by the age of 16 years in the presence of normal secondary sexual characteristics, or by the age of 14 years with no signs of puberty. Secondary amenorrhea, on the other hand, is characterized by the cessation of regular menstruation for at least three cycles or six months in women with a history of regular menstruation. The etiology of amenorrhea is diverse and may be attributed to various factors including hormonal imbalances, structural abnormalities in the reproductive tract, excessive exercise, stress, and eating disorders. Polycystic ovary syndrome (PCOS) and hypothalamic amenorrhea are common hormonal causes, while Asherman’s syndrome and structural abnormalities in the uterus are anatomical factors contributing to amenorrhea. The clinical presentation of amenorrhea varies depending on its underlying cause but often includes symptoms such as changes in weight, hair growth patterns, and breast development. An accurate diagnosis requires a comprehensive evaluation, which may involve hormonal assays, imaging studies, and sometimes a biopsy. The management strategies for amenorrhea depend on this cause. Hormone therapy, lifestyle modifications, and surgical interventions are recommended to address hormonal imbalances, structural abnormalities, or other contributing factors. Psychosocial support and counseling play crucial roles in the management of amenorrhea, especially when related to eating disorders or psychological stress.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".