Evidence map›Paper›PMID 34621952›Full record

ArticleInternational journal of women's dermatology2021

Skin cancer discovery during total body skin examinations.

Angela Jiang, Itisha S Jefferson, S Kayo Robinson, Dana Griffin, William Adams, Jodi Speiser, Laura Winterfield, Anthony Peterson, Eleanor Tung-Hahn, Kristin Lee and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of women's dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.7field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Diagnosis melanoma with artificial intelligence systems: A meta-analysis study and systematic review.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Skin Cancer Image Segmentation Based on Midpoint Analysis Approach.Journal of imaging informatics in medicine · 2024
    Article
  6. Review
  7. Review
  8. Article
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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

14 authors at 9 institutions in 1 country.

Angela JiangDepartment of Dermatology, Henry Ford Health System, Detroit, Michigan.
Itisha S JeffersonStritch School of Medicine, Loyola University Chicago, Maywood, Illinois.
S Kayo RobinsonStritch School of Medicine, Loyola University Chicago, Maywood, Illinois.
Dana GriffinDermatology, Advocate Aurora Health Care Medical Group Racine, Wisconsin.
William AdamsDepartment of Public Health Sciences, Loyola University Chicago, Maywood, IL.
Jodi SpeiserDepartment of Pathology, Loyola University Chicago, Maywood, Illinois.
Laura WinterfieldDepartment of Dermatology, Medical University of South Carolina, Charleston, South Carolina.
Anthony PetersonDepartment of Dermatology, DuPage Medical Group, Naperville, Illinois.
Eleanor Tung-HahnDepartment of Public Health, University of South Florida, Tampa, Florida.
Kristin LeeDepartment of Dermatology, DuPage Medical Group, Naperville, Illinois.
David SurprenantDayton Skin Surgery Center, Dayton, Ohio.
Anne CoakleyStritch School of Medicine, Loyola University Chicago, Maywood, Illinois.
Rebecca TungFlorida Dermatology and Skin Cancer Centers, Winter Haven, Florida.
Murad AlamDepartments of Dermatology, Otolaryngology, and Surgery, Northwestern University, Chicago, Illinois.
Loyola University Chicago · USDuPage Medical Group · USAurora Health Care · USDayton Clinical Oncology Program · USHenry Ford Health System · USMedical University of South Carolina · USNorthwestern University · USUniversity of South Florida · USWinter Haven Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients presenting with a site-specific skin complaint may receive a total body skin examination (TBSE) or a more focused examination. A TBSE may be time-consuming but can potentially detect unsuspected or early stage skin cancers. The purpose of this study was to assess the detection of skin cancers associated with dermatologist-initiated TBSE performed immediately after a focused skin examination on the same patients.

methodsThe dermatology records of patients with biopsy-proven melanoma, basal cell carcinoma (BCC), or squamous cell carcinoma (SCC) during a 2-year period were reviewed. Generalized linear mixed-effects models were used to estimate the odds of a lesion being identified by a dermatologist (rather than the patient or the patient's primary health care provider).

resultsA total 1563 biopsy-proven cutaneous malignancies were found on 1010 patients. Of these, 797 cancers (51%) were first identified by a dermatologist on TBSE and 764 (48.9%) by the patient or the referring provider. Among tumors first identified by dermatologists (n = 797), 553 (69%) were BCCs, 220 (28%) were SCCs, and 24 (3%) were melanomas. The mean Breslow depth was 0.53 mm (standard deviation: 0.31 mm) for melanomas found on TBSE versus 1.04 mm (standard deviation: 1.68 mm) if identified by patients or referring providers. BCCs were more likely to be identified by a dermatologist during a TBSE (n = 553 [56%] vs. n = 434 [44%]; odds ratio: 1.79;

conclusionDermatologist-performed TBSEs identified numerous cutaneous malignancies that might otherwise have remained undiagnosed. Early detection of melanoma or nonmelanoma skin cancer by TBSEs may spare patients significant morbidity and mortality.

Indexed as

cancerSkintotal body examination

Identifiers

PMID34621952
PMCPMC8484974
OpenAlexW3169059378

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.