Evidence map›Paper›PMID 41476892›Full record

ArticleFrontiers in medicine2025

Application of dermoscopy for efficacy assessment and prognosis in laser treatment of vasodilator dermatosis.

Xiaoye Liu, Manli Qi, Huijuan Wang, Yajun Zhang, Guoqiang Zhang, Weiwei Xu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaoye LiuThe First Hospital of Hebei Medical University, Shijiazhuang, China.
Manli QiDepartment of Dermatology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, China.
Huijuan WangThe First Hospital of Hebei Medical University, Shijiazhuang, China.
Yajun ZhangThe First Hospital of Hebei Medical University, Shijiazhuang, China.
Guoqiang ZhangThe First Hospital of Hebei Medical University, Shijiazhuang, China.
Weiwei XuThe First Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Analyse dermoscopic image data before and after laser treatment for vasodilator dermatosis. Investigate its value in evaluating post-treatment efficacy and identifying factors predictive of complete lesion clearance in a single session. Methods: Patients undergoing laser treatment for vascular skin disorders in our department were selected. Dermoscopic images of the lesions were captured and the vascular characteristics within the dermoscopic field were recorded. One-month follow-up analyses assessed lesion clearance status and dermoscopic features in each patient. Results: This study included 18 patients (37 lesions in total). The total vascular feature scores before and after treatment were significantly different from the individual vascular scores. The single-session clearance rate at 1-month follow-up was 75.7% (28/37). Significant differences in scores were observed between the cleared and uncleared groups. Univariate and multivariate logistic analyses identified vascular color as an independent factor influencing lesion clearance. Calculating the Youden index showed that lesions with scores below 9.5 were more likely to be cleared in a single session. Conclusion: Prior to laser treatment, using a dermatoscope to comprehensively assess the characteristics of vascular structures provides an objective evaluation of the underlying vascular condition. This makes it possible to predict the likelihood of achieving complete clearance in a single session after laser therapy, providing insights into how to devise personalized treatment plans for patients. The clinical promotion and application of this method is eagerly awaited.

Indexed as

dermoscopylong-pulsed 1064 nm laserpredictive factorstreatment efficacyvascular dermatoses

Identifiers

PMID41476892
PMCPMC12750457

What Socratic holds

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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 Socratic graph.