Evidence map›Paper›PMID 37662750›Full record

ArticleHeliyon2023

A retrospective analysis of robot-assisted total hysterectomy by transvaginal natural orifice transluminal endoscopic surgery.

Penglin Xu, Zhao Zhao, Yanpeng Tian, Yue Li, Yafen Liu, Mei Ji

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Penglin XuDepartment of Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, PR China.
Zhao ZhaoDepartment of Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, PR China.
Yanpeng TianDepartment of Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, PR China.
Yue LiDepartment of Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, PR China.
Yafen LiuDepartment of Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, PR China.
Mei JiDepartment of Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, PR China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The present study aimed to explore the feasibility and safety of robot-assisted total hysterectomy by transvaginal natural orifice transluminal endoscopic surgery (vNOTES). Methods: In this study, the clinical data of 37 patients who underwent da Vinci robot-assisted total hysterectomy by vNOTES between September 1, 2019 and March 31, 2022 at the Department of Gynecology, the First Affiliated Hospital of Zhengzhou University, China were retrospectively analyzed. Clinical characteristics, operative postoperative complications, surgical outcomes, and postoperative pain scores were collected and analyzed. Results: The average age of the patients included in the study was 47.43 ± 4.44 years. The body mass index (BMI) was calculated using the formula BMI = body weight (kg)/height Conclusion: The use of the da Vinci robot-assisted total hysterectomy by vNOTES demonstrated safety and offers several advantages. These include reduced surgical trauma, an aesthetic incision, decreased pain, and shorter duration of postoperative exhaust time and hospital stay. These benefits contribute to accelerated postoperative rehabilitation.

Indexed as

HysterectomyMinimally invasive surgeryRobot-assisted surgeryTransvaginal single-port laparoscopic surgeryvNOTES

Identifiers

PMID37662750
PMCPMC10474405
OpenAlexW4386013184

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LicenceCC BY
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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.