Evidence map›Paper›PMID 35407434›Full record

ReviewJournal of clinical medicine2022

Robot-Assisted Minimally Invasive Breast Surgery: Recent Evidence with Comparative Clinical Outcomes.

Kuo Chen, Jin Zhang, Narasimha M Beeraka, Mikhail Y Sinelnikov, Xinliang Zhang, Yu Cao, Pengwei Lu

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
10.7field-weighted citation impact, top 1% 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.

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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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  14. [Study of heat steam induced skin damage prevention in robotic nipple-sparing mastectomy and immediate breast reconstruction using Da Vinci Robot].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2024
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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

7 authors at 4 institutions in 4 countries.

Kuo ChenDepartment of Breast Surgery, The First Affiliated Hospital of Zhengzhou University, 1 Jianshedong Street, Zhengzhou 450052, China.ORCID 0000-0003-0095-8545
Jin ZhangDepartment of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA.ORCID 0000-0002-2566-7501
Narasimha M BeerakaDepartment of Human Anatomy, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia.
Mikhail Y SinelnikovDepartment of Human Anatomy, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia.ORCID 0000-0002-0862-6011
Xinliang ZhangDepartment of Human Anatomy, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia.
Yu CaoDepartment of Human Anatomy, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia.
Pengwei LuDepartment of Breast Surgery, The First Affiliated Hospital of Zhengzhou University, 1 Jianshedong Street, Zhengzhou 450052, China.
Sechenov University · RUFirst Affiliated Hospital of Zhengzhou University · CNJSS Academy of Higher Education and Research · INUniversity of Mississippi Medical Center · US

Funding

National Natural Science Foundation of China 81703158
6 · The paper itself

Abstract

In recent times, robot-assisted surgery has been prominently gaining pace to minimize overall postsurgical complications with minimal traumatization, due to technical advancements in telerobotics and ergonomics. The aim of this review is to explore the efficiency of robot-assisted systems for executing breast surgeries, including microsurgeries, direct-to-implant breast reconstruction, deep inferior epigastric perforators-based surgery, latissimus dorsi breast reconstruction, and nipple-sparing mastectomy. Robot-assisted surgery systems are efficient due to 3D-based visualization, dexterity, and range of motion while executing breast surgery. The review describes the comparative efficiency of robot-assisted surgery in relation to conventional or open surgery, in terms of clinical outcomes, morbidity rates, and overall postsurgical complication rates. Potential cost-effective barriers and technical skills were also delineated as the major limitations associated with these systems in the clinical sector. Furthermore, instrument articulation of robot-assisted surgical systems (for example, da Vinci systems) can enable high accuracy and precision surgery due to its promising ability to mitigate tremors at the time of surgery, and shortened learning curve, making it more beneficial than other open surgery procedures.

Indexed as

ergonomicsopen surgerypostsurgical complicationsrobot-assisted surgery

Identifiers

PMID35407434
PMCPMC8999956
OpenAlexW4221070657

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.