Escitalopram reduced hot flashes in non-depressed perimenopausal and postmenopausal women
Bibliographic record
Abstract
Commentary on: Freeman EW, Guthrie KA, Caan B, et al. Efficacy of escitalopram for hot flashes in healthy menopausal women: a randomized controlled trial. JAMA 2011;305:267–74.[OpenUrl][1][CrossRef][2][PubMed][3] Vasomotor symptoms (VMS – hot flashes, night sweats) are considered the hallmark of the menopausal transition and early postmenopausal years; these symptoms affect 60–90% of women during this time period and quite often result in significant discomfort and impaired quality of life (QOL). Mechanistically, the occurrence of VMS is attributed to a malfunction or disruption within complex temperature circuits in charge of thermoregulation. Existing evidence suggests that these circuits are at least in part modulated by oestrogen and monoamine systems – that is, serotonin, norepinephrine. In the aftermath of the Women's Health Initiative Study, physicians and patients became more reluctant to pursue or remain adherent to hormone-based therapies, and a growing interest has been observed in the development … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.issn%253D0002-9955%26rft.aulast%253DFreeman%26rft.auinit1%253DE.%2BW.%26rft.volume%253D305%26rft.issue%253D3%26rft.spage%253D267%26rft.epage%253D274%26rft.atitle%253DEfficacy%2Bof%2Bescitalopram%2Bfor%2Bhot%2Bflashes%2Bin%2Bhealthy%2Bmenopausal%2Bwomen%253A%2Ba%2Brandomized%2Bcontrolled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.2010.2016%26rft_id%253Dinfo%253Apmid%252F21245182%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/jama.2010.2016&link_type=DOI [3]: /lookup/external-ref?access_num=21245182&link_type=MED&atom=%2Febmed%2F16%2F5%2F159.atom
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".