Evidence map›Paper›PMID 42169737›Full record

ArticlePlastic and reconstructive surgery. Global open2026

Analysis of Career Outcomes and Practice Patterns After Microsurgery Fellowship.

Karen Lynn Zhao, Alexzandra Mattia, Alexander J Kammien, Nitya Devisetti, Evan Matros, Haripriya S Ayyala

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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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.

Karen Lynn ZhaoFrom the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
Alexzandra MattiaFrom the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
Alexander J KammienFrom the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
Nitya DevisettiDivision of Plastic Surgery, Department of Surgery, Rutgers New Jersey Medical School, Newark, NJ.
Evan MatrosDepartment of Plastic Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Haripriya S AyyalaEast Coast Advanced Plastic Surgery, Livingston, NJ.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Background: Microsurgery fellowships provide advanced training in reconstructive procedures; career trajectories and practice patterns postfellowship are not well studied. Understanding these outcomes may be helpful for residents and training programs. Methods: Microsurgery fellowship graduates were identified from 1990 to 2023. First position, current position, and practice types after fellowship were determined. Fellow characteristics included sex, fellowship region, advanced degrees, additional training, bibliometric indices, and time to practice changes. Residency characteristics (residency type, association with a fellowship program, top-ranked program, affiliation with top-ranked research institution) were also analyzed. Fellows were compared based on initial job setting (academic versus private practice [PP]), transitions between practice types, and practice of microsurgery. Results: Over 33 years, 416 fellows were analyzed. Of the graduates, 55% began in academia. Fellows in the Southwest were more likely to accept academic positions, whereas those in the Northeast, Midwest, and West were more likely to accept PP positions ( Conclusions: Approximately half of former fellows hold academic positions. Fellowship location and h-index were associated with employment setting. About one-fifth of those in academic jobs transitioned into PP. Despite this attrition, most surgeons continue to perform microsurgical procedures.

Identifiers

PMID42169737
PMCPMC13189586

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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.