Evidence map›Paper›PMID 38355459›Full record

ArticleBMC surgery2024

The learning curve of the MS-TRAM/DIEP breast reconstruction by dual-trained breast surgeons.

Shunrong Li, Songliang Zhang, Xiaolan Zhang, Jingwen Yan, Shuai Wang, Luyuan Tan, Nanyan Rao, Kai Chen, Liling Zhu

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05560633 (The Feasibility of Nipple-sparing Mastectomy in Combined With Abdominal Free Flap Breast Reconstruction Without Skin Paddles for Flap Monitoring), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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.

NCT05560633 completednot on this map

The Feasibility of Nipple-sparing Mastectomy in Combined With Abdominal Free Flap Breast Reconstruction Without Skin Paddles for Flap Monitoring: a Single-center Experience

TypeobservationalSponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen UniversityRan2015 to 2020Enrolled147ConditionsBreast/SurgeryArmsNo intervention
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 1 country.

Shunrong Li *Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
Songliang Zhang *Guangzhou Concord Cancer Center, Guangzhou, Guangdong, 510100, China.
Xiaolan Zhang *Guangzhou Concord Cancer Center, Guangzhou, Guangdong, 510100, China.
Jingwen YanGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
Shuai WangGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
Luyuan TanGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
Nanyan RaoGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China. raonany@mail.sysu.edu.cn.
Kai ChenGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China. chenkai23@mail.sysu.edu.cn.
Liling ZhuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China. zhuliling@mail.sysu.edu.cn.
Sun Yat-sen University · CNSun Yat-sen Memorial Hospital · CN

Funding

Guangdong Provincial Development and Reform Commission 2020B1212060018Guangdong Science and Technology Department 2019A1515011467Guangdong Science and Technology Department 2019A1515110075National Natural Science Foundation of China 82271650National Natural Science Foundation of China 82303552the Guangzhou Science Technology and Innovation Commission 202102010221the National Institute of Hospital Administration RXDBZ-2022-04the Sun Yat-Sen University Clinical Research 5010 Program #2018022the Yat-sen Scholarship of Young Scientist program of Sun Yat-sen Memorial Hospital, the Sun Yat-sen Clinical Research Cultivating Program of Sun Yat-sen Memorial Hospital # SYS-Q-202002
6 · The paper itself

Abstract

backgroundBreast cancer surgeries involving MS-TRAM/DIEP breast reconstruction has traditionally been collaborative efforts between breast surgeons and plastic surgeons. However, in our institution, this procedure is performed by dual-trained breast surgeons who are proficient in both breast surgery and MS-TRAM/DIEP breast reconstruction. This study aims to provide insights into the learning curve associated with this surgical approach. MATERIALS AND

methodsWe included eligible breast cancer patients who underwent MS-TRAM/DIEP breast reconstruction by dual-trained breast surgeons between 2015 and 2020 at our institution. We present the learning curve of this surgical approach, with a focus on determining factors affecting flap harvesting time, surgery time, and ischemic time. Additionally, we assessed the surgical complication rates.

resultsA total of 147 eligible patients were enrolled in this study. Notably, after 30 cases, a statistically significant reduction of 1.7 h in surgery time and 21 min in ischemic time was achieved, signifying the attainment of a plateau in the learning curve. And the major and minor complications were comparable between the early and after 30 cases.

conclusionThis study explores the learning curve and feasibility experienced by dual-trained breast surgeons in performing MS-TRAM/DIEP breast reconstruction.

trial registrationNCT05560633.

Indexed as

Breast NeoplasmsMammaplastySurgeonsFemaleHumansLearning CurvePostoperative ComplicationsRetrospective StudiesAutologous free flapBreast reconstructionDual-trained breast surgeonLearning curveMS-TRAM/DIEP

Identifiers

PMID38355459
PMCPMC10865591
OpenAlexW4391815714

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.