Evidence map›Paper›PMID 42325488›Full record

ArticlePlastic and reconstructive surgery. Global open2026

Clinical Application of Eyelid Composite Tissue Flap in the Repair of Full-thickness Eyelid Margin Defects.

Wei Sun, Kai Tian, Yifan Wang, Lin Zhu, Tian Yang, Lijun Wu

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Wei SunFrom the Department of Plastic and Aesthetic Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Kai TianFrom the Department of Plastic and Aesthetic Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yifan WangFrom the Department of Plastic and Aesthetic Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Lin ZhuFrom the Department of Plastic and Aesthetic Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Tian YangFrom the Department of Plastic and Aesthetic Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Lijun WuFrom the Department of Plastic and Aesthetic Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Full-thickness eyelid margin defects resulting from tumor resection present a significant reconstructive challenge, necessitating techniques that balance functional restoration with aesthetic outcomes. This study evaluates the efficacy of the eyelid composite tissue flap advancement technique in addressing these challenges. Methods: In this retrospective case series, 85 patients with eyelid margin tumors underwent reconstruction using the described technique. Following tumor excision, which was tailored based on the pathological diagnosis (75 pigmented nevi, 8 basal cell carcinomas, 2 squamous cell carcinomas), bilateral full-thickness eyelid flaps were created parallel to the defect. Key surgical steps included the precise incorporation of the marginal arterial arcade to ensure vascularity and layered anatomical closure. The primary outcomes assessed were flap survival, eyelid function, aesthetic results, and patient satisfaction. Results: All 85 flaps survived completely, with primary healing achieved in all cases. The functional integrity of the repaired eyelids was maintained, and the aesthetic appearance was rated as natural or satisfactory. No major complications, such as significant notching, ectropion, or lagophthalmos, were observed during the follow-up period. Conclusions: The eyelid composite tissue flap advancement technique is a reliable and effective single-stage procedure for reconstructing full-thickness defects involving up to two-thirds of the eyelid length. Its robust blood supply and ability to restore the natural anatomical layers make it an ideal choice for this indication, yielding high survival rates and satisfactory functional and cosmetic outcomes.

Identifiers

PMID42325488
PMCPMC13278332

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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.