Defining bioidentical hormones for menopause-related symptoms
Bibliographic record
Abstract
UNLABELLED: In the last decade, the use of bioidentical hormones (BHs) to treat menopause-related symptoms has become increasingly popular. However, the many different definitions of BHs have led to a great deal of confusion often making it difficult for health care providers to discuss this area with patients. OBJECTIVE: The purpose of this paper was to produce a concise definition of bioidentical hormones, based on a review of the literature. METHODS: Searches, using systematic review methodology, were conducted from inception to June 2010 in PubMed, EMBASE, IPA, The Journal of International Compounding and the Internet to identify definitions of bioidentical hormones. There were no restrictions on type, date or language of publication. Included papers/website included those that contained a definition of BHs. Definitions were extracted, similarities and differences summarized, and these were then examined to produce a concise definition. RESULTS: Sixty-three definitions were found. Based on the analysis of similarities and differences, the following definition, comprised of three components (term being defined; category to which term belongs; distinctive characteristics of term) was produced: "Bioidentical hormones are chemical substances that are identical in molecular structure to human hormones." CONCLUSIONS: This definition clearly and concisely explains the meaning of BHs which should lead to a common understanding of the term and limit confusion among health care providers, the general public and the scientific community.
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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 | 0.014 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".