Evidence map›Paper›PMID 38504917›Full record

ReviewFrontiers in medicine2024

Robotic surgery for deep-infiltrating endometriosis: is it time to take a step forward?

Filippo Alberto Ferrari, Youssef Youssef, Antoine Naem, Federico Ferrari, Franco Odicino, Harald Krentel, Gaby Moawad

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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

7 authors at 5 institutions in 3 countries.

Filippo Alberto FerrariDepartment of Obstetrics and Gynaecology, AOUI Verona, University of Verona, Verona, Italy.
Youssef YoussefDivision of Minimally Invasive Gynecologic Surgery, Department of Obstetrics and Gynaecology-Maimonides Medical Center, Brooklyn, NY, United States.
Antoine NaemFaculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany.
Federico FerrariDepartment of Clinical and Experimental Sciences, Division of Obstetrics and Gynecology, University of Brescia, Brescia, Italy.
Franco OdicinoDepartment of Clinical and Experimental Sciences, Division of Obstetrics and Gynecology, University of Brescia, Brescia, Italy.
Harald KrentelDepartment of Obstetrics, Gynecology, Gynecologic Oncology, and Senology, Bethesda Hospital Duisburg, Duisburg, Germany.
Gaby MoawadDepartment of Obstetrics and Gynecology, George Washington University, Washington, DC, United States.
University of Verona · ITGeorge Washington University · USMaimonides Medical Center · USUniversity of Bremen · DEUniversity of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a chronic debilitating disease that affects nearly 10% of women of the reproductive age. Although the treatment modalities of endometriosis are numerous, surgical excision of the endometriotic implants and nodules remains the sole cytoreductive approach. Laparoscopic excision of endometriosis was proven to be beneficial in improving the postoperative pain and fertility. Moreover, it was also proved to be safe and efficient in treating the visceral localization of deep endometriosis, such as urinary and colorectal endometriosis. More recently, robotic-assisted surgery gained attention in the field of endometriosis surgery. Although the robotic technology provides a 3D vision of the surgical field and 7-degree of freedom motion, the safety, efficacy, and cost-effectiveness of this approach are yet to be determined. With this paper, we aim to review the available evidence regarding the role of robotic surgery in the management of endometriosis along with the current practices in the field.

Indexed as

Colondiaphragmendometriosislaparoscopyrectumrobotic surgeryurinary tract

Identifiers

PMID38504917
PMCPMC10948538
OpenAlexW4392468684

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.