Evidence map›Paper›PMID 38780777›Full record

ReviewDermatologie (Heidelberg, Germany)2024

[Alopecia due to chemotherapeutics, hedgehog inhibitors, targeted antibody therapies and immune checkpoint inhibitors : Pathogenesis, clinical picture, diagnostics and prophylaxis].

M M Sachse, K C Kähler

Abstract readReviewEnglish Abstract
PubMed Publisher
In one paragraph

Review in Dermatologie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

M M SachseKlinik für Dermatologie, Allergologie und Phlebologie, Klinikum Bremerhaven, Bremerhaven, Deutschland. michael.sachse@klinikum-bremerhaven.de.
K C KählerCampus Kiel, Klinik für Dermatologie und Venerologie, Universitätsklinikum Schleswig-Holstein, Kiel, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence and severity of alopecia vary mainly depending on the chemotherapeutic agent used or other drug groups. The pathogenetic characteristics of the different forms of alopecia are reflected in the clinical presentation and, in some cases, in the resulting recommendations for prophylaxis.

objectivesTo provide an overview of the pathogenesis, clinical presentation, diagnosis and prophylaxis of alopecia with chemotherapeutic agents, hedgehog inhibitors, targeted therapies and immune checkpoint inhibitors. MATERIALS AND

methodsBased on the current S3 guideline "Supportive therapy", an extensive literature search was carried out. RESULTS AND

conclusionChemotherapy-induced hair loss (CIA) occurs in up to 65% of cases. Anagen effluvium is observed as early as 1-3 weeks after the start of treatment and is reversible in most cases. Alopecia associated with inhibitors of the Sonic Hedgehog signaling pathway (HHIA) such as vismodegib or sonidegib are observed in up to 60% of cases. They are characterized by telogen effluvium. BRAF or immune checkpoint inhibitors lead significantly less frequently to alopecia (BRAFA, CPIA). According to taxane-based chemotherapy protocols, scalp cooling can help to prevent higher-grade CIA. If CIA or other forms of alopecia are expected, early contact with self-help organizations and early prescriptions for wigs should be offered.

Indexed as

AlopeciaAntineoplastic AgentsHedgehog ProteinsImmune Checkpoint InhibitorsHumansMolecular Targeted TherapyAntineoplastic AgentsHedgehog ProteinsImmune Checkpoint InhibitorsAlopeciaChemotherapy-induced hair lossProphylaxisScalp coolingSelf-help organisations

Identifiers

What OpenQuestion holds

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Registered trials

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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.