Evidence map›Paper›PMID 34944572›Full record

ReviewBiomedicines2021

Scarring Alopecias: Pathology and an Update on Digital Developments.

Donna M Cummins, Iskander H Chaudhry, Matthew Harries

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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 3 institutions in 1 country.

Donna M CumminsThe Dermatology Centre, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Manchester M6 8HD, UK.
Iskander H ChaudhryDepartment of Pathology, Royal Liverpool University Hospital, Liverpool L7 8XP, UK.
Matthew HarriesThe Dermatology Centre, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Manchester M6 8HD, UK.
Royal Liverpool University Hospital · GBSalford Royal Hospital · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary cicatricial alopecias (PCA) represent a challenging group of disorders that result in irreversible hair loss from the destruction and fibrosis of hair follicles. Scalp skin biopsies are considered essential in investigating these conditions. Unfortunately, the recognised complexity of histopathologic interpretation is compounded by inadequate sampling and inappropriate laboratory processing. By sharing our successes in developing the communication pathway between the clinician, laboratory and histopathologist, we hope to mitigate some of the difficulties that can arise in managing these conditions. We provide insight from clinical and pathology practice into how diagnoses are derived and the key histological features observed across the most common PCAs seen in practice. Additionally, we highlight the opportunities that have emerged with advances in digital pathology and how these technologies may be used to develop clinicopathological relationships, improve working practices, enhance remote learning, reduce inefficiencies, optimise diagnostic yield, and harness the potential of artificial intelligence (AI).

Indexed as

artificial intelligencecentral centrifugal cicatricial alopeciadiagnosisdigital pathologydiscoid lupus erythematosusfolliculitis decalvansfrontal fibrosing alopeciahair folliclelichen planopilarispseudopelade of brocqreviewscarring alopecia

Identifiers

PMID34944572
PMCPMC8698437
OpenAlexW3217684437

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.