ArticleDer Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete2020
[Psoriasis and pregnancy : Clinical algorithm and monitoring of systemic therapy].
Article in Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Need for individualized counseling regarding psoriasis systemic therapy in women of childbearing age: analysis of the PsoFem study at the University Medical Center Hamburg.International journal of women's dermatology · 2024Article
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2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recently expanded approval of some TNF‑α blockers for the treatment of moderate to severe psoriasis in pregnancy has facilitated therapy of this group of patients with approved drugs. To date, there are no evidence-based structured therapy recommendations for these psoriasis patients with the result that the uncertainties of the treating physicians usually lead to individual decisions. On the basis of our clinical experience and the currently valid approval for systemic therapeutics, we have developed a therapy algorithm that enables an interdisciplinary, structured approach to counseling and supporting pregnant women with psoriasis, which makes decision-making for colleagues in other disciplines, in particular gynecology, transparent.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.