Evidence map›Paper›PMID 33326027›Full record

ArticleJAMA network open2020

Identification of Incidental Skin Cancers Among Adults Referred to Dermatologists for Suspicious Skin Lesions.

Sharif Omara, David Wen, Benjamin Ng, Rakesh Anand, Rubeta N Matin, Kathy Taghipour, Ben Esdaile

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2020. 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
1.3field-weighted citation impact, top 18% 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, 19 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

7 authors at 4 institutions in 2 countries.

Sharif OmaraDepartment of Cardiology, Leiden University Medical Centre, Albinusdreef, Leiden, the Netherlands.
David WenDepartment of Dermatology, Oxford University Hospitals National Health Service Foundation Trust, Churchill Hospital, Headington, Oxford, United Kingdom.
Benjamin NgDepartment of Dermatology, Oxford University Hospitals National Health Service Foundation Trust, Churchill Hospital, Headington, Oxford, United Kingdom.
Rakesh AnandDepartment of Dermatology, Whittington Health National Health Service Foundation Trust, London, United Kingdom.
Rubeta N MatinDepartment of Dermatology, Oxford University Hospitals National Health Service Foundation Trust, Churchill Hospital, Headington, Oxford, United Kingdom.
Kathy TaghipourDepartment of Dermatology, Whittington Health National Health Service Foundation Trust, London, United Kingdom.
Ben EsdaileDepartment of Dermatology, Whittington Health National Health Service Foundation Trust, London, United Kingdom.
National Health Service · GBChurchill Hospital · GBLeiden University Medical Center · NLWhittington Health NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The incidence of skin cancer is increasing and evaluation of the utility of total body skin examination (TBSE) in detecting incidental skin cancers is warranted. Objectives: To evaluate the proportion and rate of incidental skin cancer detection in urgent skin cancer clinics and investigate the rate of incidental skin cancer detection in 2 groups based on the degree of clinical suspicion of the index lesion for malignancy. Design, Setting, and Participants: A multicenter retrospective cohort study with a case note review of consecutive secondary care consultations was conducted using data from 2 urgent suspected skin cancer screening clinics in UK National Health Service trusts. The study was performed from January 1, 2015, to March 31, 2016, and data analysis was performed from October 14, 2018, to February 1, 2019. Patients included those presenting with a skin lesion suspicious of malignancy who were referred to the urgent suspected skin cancer clinic (N = 5944) over 15 months. Patients who accepted and received a TBSE were subsequently included in the analysis. Main Outcomes and Measures: The proportion and rate of incidental skin cancer detection through TBSE and whether a clinically suspicious (malignant) index lesion was associated with a higher chance of having a malignant incidental lesion. Results: Of the 5944 patients referred to the clinic, 4726 individuals (79.5%) were evaluated. In the cohort included in the analyses, the median age was 57 years (interquartile range, 39-73 years); 2567 patients (54.3%) were women. A total of 1117 skin cancers were identified; of these, 242 lesions (21.7%) were detected incidentally through TBSE, including 197 of 570 (34.6%) basal cell carcinomas, 16 of 250 (6.4%) squamous cell carcinomas, and 25 of 215 (11.6%) melanomas. The detection rate of incidental malignant lesions was 5.1 lesions per 100 patients examined (5.1%; 95% CI, 4.5%-5.8%). There was a higher detection rate of histologically confirmed incidental malignant lesions in individuals with clinically suspicious index lesions requiring biopsy (10.9%; 95% CI, 9.5%-12.5%) compared with those presenting with clinically benign index lesions (2.0%; 95% CI, 1.6%-2.5%) (P < .001). Conclusions and Relevance: The findings of this study support the use of TBSE for urgent skin cancer referrals, highlighting the potential harms of solitary lesion assessment in a subgroup. Individuals presenting with a clinically suspicious index lesion requiring biopsy are most likely to benefit from TBSE and should be counseled regarding the benefit.

Indexed as

Skin NeoplasmsBasal Cell CarcinomaBiopsyCarcinoma, Squamous CellDermatologyEarly Detection of CancerFemaleHumansMaleMelanomaMiddle AgedPhysical ExaminationReferral and ConsultationRetrospective StudiesSkinUnited Kingdom

Identifiers

PMID33326027
PMCPMC7745102
OpenAlexW3112003258

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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.