Evidence map›Paper›PMID 39384593›Full record

ArticleDermatologie (Heidelberg, Germany)2024

["Red flags" during pregnancy-skin symptoms and their causes during pregnancy].

Ann-Sophie Bohne, Katharina Antonia Langen, Regine Gläser

Abstract readEnglish Abstract
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In one paragraph

Article in Dermatologie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ann-Sophie BohneKlinik für Dermatologie, Venerologie und Allergologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, Haus C, 24105, Kiel, Deutschland.
Katharina Antonia LangenKlinik für Dermatologie, Venerologie und Allergologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, Haus C, 24105, Kiel, Deutschland. katharinaantonia.langen@uksh.de.
Regine GläserKlinik für Dermatologie, Venerologie und Allergologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, Haus C, 24105, Kiel, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy is a special state for the expectant mother. Not only is a human being growing, but the pregnant woman's body is also constantly changing during the 40-week pregnancy. One organ that is frequently affected by these changes is the skin. As diagnosis and treatment during pregnancy can present treating physicians with particular challenges, it is important to know the relevant pregnancy dermatoses, to recognize and diagnose them reliably, and to observe red flags in order to protect the pregnant women and the unborn child. In this article, the most important changes in the skin of pregnant patients are explained and potential warning signs are presented. In addition to aspects of altered pigmentation, the influence of pregnancy on pre-existing inflammatory dermatoses and their improvement or worsening is also described. The occurrence of so-called specific pregnancy dermatoses over the course of pregnancy is also explained. Finally, the extent to which autoimmune diseases of the mother can also affect the unborn child and to what extent skin changes in the newborn can indicate a disease of the mother are described. The respective "red flags" are presented as leading symptoms and their relevance is discussed.

Indexed as

Pregnancy ComplicationsSkin DiseasesDiagnosis, DifferentialFemaleHumansPregnancyMelanocytic neviPemphigoid gestationisPregnancy dermatosisPruritusSkin diseases

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.