Evidence map›Paper›PMID 36125195›Full record

ArticleThe Australasian journal of dermatology2022

Utility of optical coherence tomography in basal cell naevus syndrome: A case report.

Genevieve Ho, Rodrigo J Schwartz, Bruna Melhoranse-Gouveia, Pascale Guitera, Niamh A O'Sullivan, Veronica K Y Cheung, Sydney Ch'ng, Linda K Martin

Open access · hybridAbstract readCase Reports
In one paragraph

Article in The Australasian journal of dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Genevieve HoMelanoma Institute Australia, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-3769-8951
Rodrigo J SchwartzMelanoma Institute Australia, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-1609-143X
Bruna Melhoranse-GouveiaMelanoma Institute Australia, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6322-5675
Pascale GuiteraMelanoma Institute Australia, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0001-9519-110X
Niamh A O'SullivanMelanoma Institute Australia, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-1882-8303
Veronica K Y CheungDepartment of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
Sydney Ch'ngMelanoma Institute Australia, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-4011-1253
Linda K MartinMelanoma Institute Australia, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0001-9519-7077
The University of Sydney · AUMelanoma Institute Australia · AURoyal Prince Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical Coherence Tomography (OCT) is a useful non-invasive diagnostic tool for diagnosing and monitoring treatment of basal cell carcinomas. We describe the use of OCT in a patient with Basal Cell Naevus Syndrome. Through measuring tumour depth on OCT, management of individual tumours was triaged accordingly using 0.4 mm tumour depth as a cut-off for surgical and non-surgical management. OCT has potential to reduce unnecessary excisions and associated morbidity in this population of patients.

Indexed as

Basal Cell CarcinomaBasal Cell Nevus SyndromeSkin NeoplasmsHumansTomography, Optical Coherencebasal cell naevus syndromecase reportGorlin syndromeoptical coherence tomographyskin cancer

Identifiers

PMID36125195
PMCPMC9826408
OpenAlexW4296483236

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.