Evidence map›Paper›PMID 41210394›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Objective Measurement of Skin Color Matching in Flap Reconstructive Surgery: A Systematic Review.

Zhen Yu Wong, Kai Qi Ou, Zhen Ning Wong, Pojsakorn Danpanichkul, Ryan Faderani, Dariush Nikkhah, Muholan Kanapathy, Afshin Mosahebi

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2025. 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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0cells of the map it votes in
0citing 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

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

8 authors.

Zhen Yu WongFrom the Welsh Centre for Burns & Plastic Surgery, Morriston Hospital, Swansea, United Kingdom.
Kai Qi OuDepartment of Vascular Surgery, Southmead Hospital, Bristol, United Kingdom.
Zhen Ning WongSchool of Medicine, Melaka-Manipal Medical College, Melaka, Malaysia.
Pojsakorn DanpanichkulDepartment of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX.
Ryan FaderaniDivision of Surgery and Interventional Science, University College London, London, United Kingdom.
Dariush NikkhahDivision of Surgery and Interventional Science, University College London, London, United Kingdom.
Muholan KanapathyDivision of Surgery and Interventional Science, University College London, London, United Kingdom.
Afshin MosahebiDivision of Surgery and Interventional Science, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Flap reconstruction outcomes can be compromised by color mismatch between transferred tissue and the recipient site, potentially causing patient distress. This systematic review comprehensively evaluated color matching in flaps across various anatomical regions and donor sites. Methods: A systematic search of MEDLINE and Embase was conducted from their inception to May 24, 2024 to identify studies addressing color matching in flaps. A narrative analysis was performed to synthesize the findings, focusing on 3 main categories: head and neck, breast, and extremities. The studies were assessed for risk of bias using the Joanna Briggs Institute appraisal tool. Results: Out of 649 screened articles, 11 studies met the inclusion criteria, including 7 on the head and neck, 3 on the breast, and 1 on the extremities. All studies were assessed to have a low to moderate risk of bias. The Conclusions: The studies emphasize a focus on head and neck reconstructions in color match research, highlighting significant gaps in other anatomical areas. Future research should prioritize patient involvement and the integration of large-scale national databases to better address aesthetic and psychological outcomes.

Identifiers

PMID41210394
PMCPMC12591702

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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.