Abnormal Vaginal Bleeding Following Pharmacist Prescribing of Metformin Leads to the Detection of Complex Endometrial Hyperplasia
Bibliographic record
Abstract
OBJECTIVE: To describe a case where pharmacist prescribing of metformin therapy resulted in unexplained vaginal bleeding in a patient later diagnosed with complex endometrial hyperplasia. CASE SUMMARY: A 57-year-old woman with diagnoses of hypertension and dyslipidemia was assessed by a pharmacist with prescribing authorization for hypertension management. Cardiovascular risk assessment performed by the pharmacist resulted in the detection of metabolic syndrome confirmed by the patient's physician. The pharmacist prescribed metformin 500 mg twice daily for prediabetes and metabolic syndrome, resulting in vaginal bleeding 1 week following initiation of therapy. Bleeding stopped following discontinuation of metformin, and recurred on retrial. The symptoms were dose dependent as bleeding did not occur at a dose of 500 mg once daily, but recurred at a total dose of 1000 mg/d. The patient was referred for physical examination and endometrial ultrasound and sampling, and was found to have complex endometrial hyperplasia. DISCUSSION: Metformin is widely used for the treatment of polycystic ovary syndrome as it improves ovulation and menstrual cycle regularity. In this case, the patient was not known to have polycystic ovary syndrome but was instead provided metformin for metabolic syndrome and hyperinsulinemia. It is believed that metformin's endocrine effects resulted in the sloughing of this hyperplastic tissue, prompting the pharmacist to refer the patient for medical assessment. This case is unique as it is the first of our knowledge to report a scenario where pharmacist prescribing resulted in facilitated detection of a previously undetected disease, highlighting that an expanded scope of practice for pharmacists can facilitate disease diagnosis when collaboration occurs among health professionals. CONCLUSIONS: Female patients initiated on metformin therapy should be aware that any changes to their menstrual cycle following metformin may indicate endometrial disease. Additionally, pharmacist prescribing for chronic disease management, when practiced collaboratively with the patient and their physician, can facilitate disease detection through effective referral and follow-up.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".