Evidence map›Paper›PMID 32452011›Full record

ArticleJournal of robotic surgery2021

An analysis of operating time over the years for robotic-assisted surgery in gynecology and gynecologic oncology.

Anupama Rajanbabu, Viral Patel, Anandita Anandita, Kaustubh Burde, Akhila Appukuttan

Abstract read
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In one paragraph

Article in Journal of robotic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 14 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

5 authors at 1 institution in 1 country.

Anupama RajanbabuDepartment of Gynaecological Oncology, Amrita Institute of Medical Sciences, Kochi, Kerala, 682041, India. anupamashyam@gmail.com.ORCID http://orcid.org/0000-0002-2885-8098
Viral PatelDepartment of Gynaecological Oncology, Amrita Institute of Medical Sciences, Kochi, Kerala, 682041, India.
Anandita AnanditaDepartment of Gynaecological Oncology, Amrita Institute of Medical Sciences, Kochi, Kerala, 682041, India.
Kaustubh BurdeDepartment of Gynaecological Oncology, Amrita Institute of Medical Sciences, Kochi, Kerala, 682041, India.
Akhila AppukuttanDepartment of Gynaecological Oncology, Amrita Institute of Medical Sciences, Kochi, Kerala, 682041, India.
Amrita Institute of Medical Sciences and Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted surgery has a shorter learning curve enabling the surgeons to do complex surgeries in a minimally invasive way. This study analyzed how the time taken for robotic-assisted procedures in gynecology and gynecologic oncology has changed over the years in a university teaching institution. Details were taken from a prospectively maintained electronic database after obtaining permission from the hospital ethics committee. All patients who underwent robotic surgery for gynecologic problems at this center from February 2015 till December 2019 were included. The clinical, perioperative, postoperative and pathologic details were collected from the prospectively maintained database. To analyze quantitative data, student t test was used. Chi-square test was performed to compare categorical variables. 655 patients underwent robotic-assisted surgery during this period. The majority of the patients underwent surgery for uterine cancer (49%). There was a significant improvement in total surgical time (250 vs. 165 min), docking time (12.6 vs 8.9 min), and console time (130 vs. 95 min) between the first and second year (2015-16). The next 2 years (2017 and 18) did not show a significant decrease in the total surgery time and console time, but docking times improved in 2017 (5.5 vs 8.5 min) compared to 2016. In 2019, there was a significant improvement in all surgical times compared to previous years. This study shows that robotic surgery has a lot of scope for improvement in surgical performance beyond its first and second years. The surgical performance as seen from the improved surgical times keeps on improving even after many years.

Indexed as

Operative TimeChi-Square DistributionDatabases, FactualData Interpretation, StatisticalFemaleGenital Neoplasms, FemaleGynecologic Surgical ProceduresHumansLearning CurveQuality ImprovementRobotic Surgical ProceduresTime FactorsUterine NeoplasmsDocking timeOperating timeRobotic-assisted surgery

Identifiers

PMID32452011
OpenAlexW3026263552

What OpenQuestion holds

Textmetadata
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.