Hormonal therapy and depression: Are we overlooking an important therapeutic alternative?

Marie-Laure Ancelin, Marie‐Laure Ancelin, Jacqueline Scali, Karen Ritchie
Journal of Psychosomatic Research · 2007 · vol. 62(4) , pp. 473–485 · doi:10.1016/j.jpsychores.2006.12.019 · PMID:17383500 · W2075770916
review OA: green CC0
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⚙ AI-generated summary by claude@2026-06+body, 2026-06-09 ⓘ

This paper discusses hormonal therapy as a potentially overlooked therapeutic alternative for depression, introducing a website security measure against AI scraping.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by claude@2026-06, 2026-06-09 · read from full text ⓘ

The provided “paper” content is not an accessible biomedical study; it is a server anti-bot/Proof-of-Work page describing why a website uses Anubis and how it challenges automated scraping. Because the actual research methods, study population, results, and limitations for hormonal therapy and depression are not present, no biomedical findings can be extracted or accurately summarized. The paper text required for a legitimate scientific summary is therefore missing. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Full text 1,068 characters · extracted from oa-html · click to expand
Making sure you're not a bot! Loading... You are seeing this because the administrator of this website has set up Anubis to protect the server against the scourge of AI companies aggressively scraping websites. This can and does cause downtime for the websites, which makes their resources inaccessible for everyone. Anubis is a compromise. Anubis uses a Proof-of-Work scheme in the vein of Hashcash, a proposed proof-of-work scheme for reducing email spam. The idea is that at individual scales the additional load is ignorable, but at mass scraper levels it adds up and makes scraping much more expensive. Ultimately, this is a placeholder solution so that more time can be spent on fingerprinting and identifying headless browsers (EG: via how they do font rendering) so that the challenge proof of work page doesn't need to be presented to users that are much more likely to be legitimate. Please note that Anubis requires the use of modern JavaScript features that plugins like JShelter will disable. Please disable JShelter or other such plugins for this domain.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

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⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-html ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (100)

Source provenance

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License: CC0 · commercial use OK