Evidence map›Paper›PMID 35175982›Full record

ArticleThe Journal of craniofacial surgery

A Survey of Factors Influencing Specialization in Plastic Surgery Among Chinese Surgeons.

Xuebing Liang, Sijie Sun, Tianyi Gu, Jiguang Ma, Keming Wang

Abstract read
In one paragraph

Article in The Journal of craniofacial surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Xuebing Liang17th Department of Plastic Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Sijie Sun
Tianyi Gu
Jiguang Ma
Keming Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractIn recent years, more Chinese surgeons have left other fields to enter plastic surgery. The factors influencing this respe-cialization have not been elicited. The authors aim to elucidate Chinese surgeons' experience and career satisfaction in this specialty change. Between July and September 2020, the authors conducted an online survey of nonplastic surgeons who received plastic surgery training at an academic center. The survey evaluated their motivation for pursuing their field, practice patterns, and career satisfaction. Responses were compared those who respecialized in plastic surgery with those who did not. A total of 251 nonplastic surgeons completed the survey. The most frequent reasons for pursuing plastic surgery were lifestyle (61.1%), desire to help others (44.4%), and higher compensation (37.3%). Among those who changed fields, employment in academic centers declined from 85% to 51.7%, 70% devoted at least half of their practice to aesthetic surgery, and the median nights on call decreased from 1.54 to 0.38 per week after specializing in plastic surgery. Overall career satisfaction in plastic surgery was significantly higher compared with their former specialties (78.3% versus 28.3%, P 0.05). The authors' study showed that outflow of surgeons from other specialties to plastic surgery is mainly due to burnout, which erodes physicians' satisfaction level and the quality of care they are able to provide. The authors highlight the need for reducing burnout in other surgical fields as well as rigorous plastic and aesthetic surgery training for those changing fields to ensure high-quality patient care.

Indexed as

Burnout, ProfessionalSurgeonsSurgery, PlasticAsian PeopleChinaHumansJob SatisfactionSurveys and Questionnaires

Identifiers

PMID35175982
PMCPMC9275847

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.