Evidence map›Paper›PMID 30379954›Full record

ArticlePloS one2018

Dermoscopy of venous lake on the lips: A comparative study with labial melanotic macule.

Ji Su Lee, Je-Ho Mun

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

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  6. The Tricky Blue.Indian journal of dermatology
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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

2 authors at 1 institution in 1 country.

Ji Su LeeDepartment of Dermatology, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0003-0207-2107
Je-Ho MunDepartment of Dermatology, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-0734-2850
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVenous lake (VL) is a common vascular tumor occurring on the lips in the elderly. VL is sometimes difficult to distinguish from melanotic lesions such as labial melanotic macule (LMM) or oral malignant melanoma. However, the dermoscopic features of VL have not been sufficiently established in the literature.

objectiveThis study was aimed at investigating the dermoscopic features of VL on the lips, and to compare the dermoscopic features of VL with those of LMM.

methodsWe retrospectively investigated the dermoscopic findings of histopathologically proven cases of VL and LMM.

resultsThe structureless pattern (78.6%) and globules/clods (42.9%) were the common patterns in VL cases. Purple was the most frequent color (78.6%), followed by red (42.9%) and blue (42.9%). The structureless pattern (p = 0.003) and the colors purple (p = 0.000), red (p = 0.003), and blue (p = 0.018) were significantly more common in VL than in LMM. In contrast, lines (p = 0.000) and dots (p = 0.044) as patterns, and brown (p = 0.000) and gray (p = 0.044) colors were significantly more frequent in LMM. White structures were more common in VL than in LMM (p = 0.001).

conclusionStructureless patterns or globules/clods with purple, red, or blue coloration can be useful findings when differentiating VLs from LMM on dermoscopy. Therefore, dermoscopic evaluation is a helpful noninvasive ancillary tool in the diagnosis of VL.

Indexed as

DermoscopyAdultAgedAged, 80 and overCutaneous Malignant MelanomaDiagnosis, DifferentialFemaleHemangiomaHumansLipLip NeoplasmsMaleMelanomaMiddle AgedRetrospective StudiesSkin Neoplasms

Identifiers

PMID30379954
PMCPMC6209377
OpenAlexW2898889293

What OpenQuestion holds

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LicenceCC BY
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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.