Evidence map›Paper›PMID 38910815›Full record

ArticleProceedings (Baylor University. Medical Center)2024

Dermatological guide for primary care physicians: full body skin checks, skin cancer detection, and patient education on self-skin checks and sun protection.

Shangyi Fu, Soojung Kim, Carina Wasko

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2024. 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
–field-weighted citation impact
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.

  1. Review
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.

Shangyi FuSchool of Medicine, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-0499-3495
Soojung KimDepartment of Dermatology, Baylor College of Medicine, Houston, Texas, USA.
Carina WaskoDepartment of Dermatology, Baylor College of Medicine, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dermatological conditions and skin cancers are common health concerns that require early detection and intervention. Primary care physicians play a crucial role in recognizing these conditions and serving as the first line of defense against skin cancers. This guide provides a systematic approach to conducting thorough skin examinations and enhancing understanding of common presentations of precancerous and cancerous lesions. We emphasize the importance of performing annual full-body skin exams to facilitate early detection and management of skin conditions, including a step-by-step, systematic protocol for conducting these exams, comprising preparing the patient, documenting findings, educating the patient, and considering biopsy or referral for suspicious lesions. Furthermore, we explore the atypical features of skin lesions that raise clinical suspicion and warrant further investigation. We describe the characteristics of common skin cancers, such as basal cell carcinoma, squamous cell carcinoma, and melanoma. We stress the importance of patient education on self-skin checks and sun protection measures. By incorporating the knowledge and skills presented in this guide, primary care physicians can confidently perform thorough full-body skin checks, identify common dermatological findings and early signs of skin cancers, and provide comprehensive care to patients. This will help ensure optimal outcomes in dermatological health.

Indexed as

Dermatological conditionsdiagnostic toolsearly detectionfull body skin checksprimary care physiciansself-skin checksskin cancerssun protection

Identifiers

PMID38910815
PMCPMC11188824

What OpenQuestion holds

Textmetadata
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.