Evidence map›Paper›PMID 28620524›Full record

ArticleFertility research and practice2015

Robotic single-site excision of ovarian endometrioma.

Antonio R Gargiulo, Colleen Feltmate, Serene S Srouji

Abstract read
In one paragraph

Article in Fertility research and practice, 2015. 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
–field-weighted citation impact
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.

  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.

Antonio R GargiuloDivision of Reproductive Endocrinology and Infertility, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA USA.
Colleen FeltmateDivision of Gynecologic Oncology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA USA.
Serene S SroujiDivision of Reproductive Endocrinology and Infertility, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional single-incision laparoscopic surgery has been successfully employed for treatment of ovarian endometriomas. However, this technique presents surgeons with formidable ergonomic challenges, that make its widespread adoption unlikely. Robotic assistance in single-incision laparoscopic surgery provides adequate instrument triangulation through a single fulcrum, while eliminating ergonomic challenges to the surgeon. The objective of this video is to describe a novel technique of laparoscopic excision and ablation of ovarian endometriomas with single-site robotic assistance. Footage from a single surgical case is shown in our video. The da Vinci Si surgical system with da Vinci Single-Site platform was utilized. A flexible CO2 laser fiber was employed as the main energy tool. To describe a technique of single-incision laparoscopic excision and ablation of endometriomas with robotic assistance. Footage from a single surgical case is shown in this video. The da Vinci Si surgical system with da Vinci Single-Site platform was utilized. A flexible CO2 laser fiber was employed as the main energy tool.

resultsOur technique achieved excellent surgical, clinical and cosmetic results, with complete excision and ablation of the endometriomas and no complications. The procedure was completed in day-surgery setting.

conclusionOur step-by-step video tutorial shows how the dedicated single incision laparoscopy technology for the da Vinci Si surgical system can be safely and effectively applied to the excision and ablation of ovarian endometriomas.

Indexed as

EndometriomaEndometriosisRobotic surgerySingle-incision laparoscopic surgery

Identifiers

PMID28620524
PMCPMC5424348

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.