Evidence map›Paper›PMID 38610902›Full record

ReviewJournal of clinical medicine2024

The Frontal Fibrosing Alopecia Treatment Dilemma.

Wiktoria Julia Krzesłowska, Anna Woźniacka

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 at 1 institution in 1 country.

Wiktoria Julia KrzesłowskaDepartment of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland.
Anna WoźniackaDepartment of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland.ORCID 0000-0003-3698-960X
Medical University of Lodz · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frontal fibrosing alopecia (FFA) is a type of cicatricial alopecia predominantly observed in postmenopausal women, with the incidence rising since its initial description in 1994. The exact etiopathogenesis of the disease has not been completely elucidated. FFA is characterized by an inflammatory process affecting the hair follicles of the fronto-temporal hairline, leading to its gradual recession. Eyebrows, particularly the lateral parts, may also be affected. Early diagnosis and an implementation of effective therapy to limit the inflammatory process are crucial in halting disease progression. Various treatment possibilities have been reported, including anti-inflammatory and immunosuppressive agents, as well as 5-alpha-reductase inhibitors, retinoids, and antimalarial agents. The use of phototherapy and surgical procedures has also been described. However, most available data have been obtained retrospectively, frequently consisting of descriptions of case reports or small case series, and not from randomized controlled trials. In addition, the etiopathogenesis of FFA remains unclear and its course unpredictable, occasionally being linked with spontaneous stabilization. Hence, no precise guidelines exist regarding treatment modalities. Therefore, the aims of this study were to provide a comprehensive review of the efficacy of existing therapeutic modalities for FFA and to highlight novel therapeutic options.

Indexed as

cicatricial alopeciaFFAFFA managementFFA treatmentfrontal fibrosing alopeciafrontal hairline recessioninflammatory scalp disease

Identifiers

PMID38610902
PMCPMC11012663
OpenAlexW4394570149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.