Evidence map›Paper›PMID 37674962›Full record

ReviewCureus2023

Robot-Assisted Surgery in the Treatment of Gynecological Carcinoma and Malignancies: Introduction to the da Vinci Robotic Surgery System.

Arnav Goel, Soumya Pamnani, Ashish Anjankar

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. 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
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Arnav GoelMedicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Soumya PamnaniMedicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Ashish AnjankarBiochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Jawaharlal Nehru Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic surgery is a surgical intervention that was developed from traditional manual surgeries because of the intrusive procedures it uses. It is now accomplished in hospitals worldwide, and comprehensive programs for the application of technology in the management of gynecological cancer are being developed. Robotic surgery should be straightforwardly compared with manual and traditional laparoscopy to see if the higher indirect costs are justified by some improvements in patient studies. This paper aims to evaluate the procedure of robotic surgery and its implementation in gynecological cancer to verify its safeness, practicability, and effectiveness. A higher chance of infections is usually in classical surgery, particularly in comparison to laparoscopic or robotic surgery. Surgical and hospital stay are much less with any of these new technologies than the aforementioned; however, the drawbacks are the scarcity of robot systems, their high price, and the realization that it is only appropriate in learning institutions with infrastructure and highly skilled surgeons. In conclusion, tissue engineering constitutes a significant discovery and approach for treating gynecological cancer with improved methods than some other types of traditional surgery, and it will likely become dominant technology shortly.

Indexed as

conventional laparoscopydisease-free survivalfood and drug administrationlaparoscopymassive invasive suregeryrobot-assisted surgery

Identifiers

PMID37674962
PMCPMC10479931
OpenAlexW4385612046

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.