Evidence map›Paper›PMID 39183777›Full record

ArticleFrontiers in surgery2024

SF method for removing small skin melanocytic nevus.

Jianfei Zhang, Kaixi Tan, Yujun Tang, Xia Xiao, Feng Yang, Jie Chen

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in surgery, 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

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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. Article
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

6 authors.

Jianfei ZhangDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Kaixi TanDepartment of Burns and Plastic Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Yujun TangDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Xia XiaoDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Feng YangDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Jie ChenDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The most prevalent benign skin tumor is a melanocytic nevus, which can potentially turn cancerous and frequently impair a patient's appearance. Objective: To find a standardized surgical procedure for the removal of tiny skin pigmented nevis and to look into the effectiveness of the SF technique for doing so. Methods: A retrospective study was conducted on 723 patients with small-sized pigmented nevi between June 2022 and June 2023. The nevi were removed using the SF method, and the patients' overall health and the duration of the procedure were recorded. Three months following the procedure, the patients completed a questionnaire to assess the effectiveness, recurrence, complications, and degree of satisfaction with the surgical outcome. Results: Compared with the normal method, SF method had shorter operation time, higher effective rate, no recurrence and other postoperative complications after 6 months, less scar hyperplasia, and good evaluation satisfaction of all patients. No patient was rated as average or poor. No recurrence. Conclusion: The standardized surgical approaches for the small-size excision of melanocytic nevuses may be easily mastered by primary practitioners using the SF method, making it a valuable tool for practical use.

Indexed as

melanocytic nevusSCARSF methodskin surgerysurgical technique

Identifiers

PMID39183777
PMCPMC11341494

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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.