Evidence map›Paper›PMID 36381483›Full record

ArticlePlastic and reconstructive surgery. Global open2022

Does Fitzpatrick Score Predict Flap Loss? Microsurgical Breast Reconstruction Outcomes of Varying Skin Color.

Kevin Perez, Cyrus Steppe, Sumeet S Teotia, Nicholas T Haddock

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Considerations for the Use of Fitzpatrick Skin Type in Plastic Surgery Research.Plastic and reconstructive surgery. Global open · 2024
    Article
  2. Article
  3. A Novel Method to Determine Patient Skin Type: The Skin Analyzer.Plastic and reconstructive surgery. Global open · 2023
    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

4 authors.

Kevin PerezDepartment of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, Tex.
Cyrus SteppeDepartment of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, Tex.
Sumeet S TeotiaDepartment of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, Tex.
Nicholas T HaddockDepartment of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, Tex.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to seek evidence that patients with darker Fitzpatrick score skin tones are more susceptible to flap loss due to unsalvaged vascular compromise in autologous flap breast reconstruction. Methods: This is a retrospective study conducted on patients who underwent any type of autologous flap breast reconstruction performed by the two senior authors at an academic center between January 2010 and December 2021. The sole primary outcome variable was flap loss. Patient skin tone was assessed using the Fitzpatrick scale on clinical photographs of patients. Results: A total of 1115 pateints underwent autologous flap breast reconstruction, of which only 56 met both exclusion and inclusion criteria with 58 individual breasts being included in the final study population. The most common race of subjects was White (n = 33; 56.9%) while the most common Fitzpatrick score skin tone was type II (n = 22; 37.9%). The Cochran-Armitage test of trend showed a statistically significant linear trend, Conclusions: Patients with darker Fitzpatrick skin tones were associated with flap loss after vascular compromise. To prevent flap loss in patients who have darker Fitzpatrick score skin tones, more aggressive flap monitoring should be taken into consideration in the immediate postoperative setting.

Identifiers

PMID36381483
PMCPMC9640304

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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 OpenQuestion graph.