Evidence map›Paper›PMID 32997216›Full record

ReviewDer Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete2020

[Targeted therapies in Pyoderma gangrenosum: deciphering pathophysiology and improving disease management].

R Rongisch, P Koll, S A Eming

Abstract readReview
PubMed Publisher
In one paragraph

Review 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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, 5 citations in OpenAlex.

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 at 2 institutions in 1 country.

R RongischKlinik und Poliklinik für Dermatologie und Venerologie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.
P KollKlinik und Poliklinik für Dermatologie und Venerologie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.
S A EmingKlinik und Poliklinik für Dermatologie und Venerologie, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland. sabine.eming@uni-koeln.de.
University of Cologne · DEKlinik und Poliklinik für Neurologie · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune response is a central process during wound healing. Malfunctions often lead to chronic inflammation, barrier disorders, and ulcerations of the skin. The underlying pathomechanisms are complex and the subject of current dermatological research. The care of wound healing disorders is still inadequate and urgently needs improved therapy concepts. For several years now, the development of modern immunomodulators has enabled the targeted regulation of specific signaling cascades, and their effectiveness in the treatment of wound healing disorders has been proven in numerous case studies. Thus, their use not only leads to more efficient therapeutic approaches, but also provides deeper insight into the pathomechanistic importance of specific signaling pathways in inflammatory and degenerative diseases of the skin, which are poorly understood so far. Pyoderma gangrenosum, an autoinflammatory disease, provides a good example to illustrate the progress in therapy and pathomechanistic understanding through the use of new immunomodulators and is explained in more detail in the following article.

Indexed as

Pyoderma GangrenosumDisease ManagementHumansImmunologic FactorsInflammationWound HealingImmunologic FactorsAutoinflammatory diseasesBiologicsImmunmodulatorsInflammationWound healing

Identifiers

PMID32997216
OpenAlexW3090039906

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.