Evidence map›Paper›PMID 38446503›Full record

ReviewSurgical innovation2024

Robot Assisted Laparoscopic Surgery in Gynaecology: An Evolving Assistive Technology.

Siwen Xie, Thomas Charles Wood, Prokar Dasgupta, Abdullatif Aydin

Open access · hybridAbstract readReview
In one paragraph

Review in Surgical innovation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
13.7field-weighted citation impact, top 1% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 2 institutions in 1 country.

Siwen XieDepartment of Surgical & Intervention Engineering, King's College London, London, UK.ORCID 0009-0007-5300-5672
Thomas Charles WoodDepartment of Obstetrics and Gynaecology, The Hillingdon Hospital, London, UK.
Prokar DasguptaMRC Centre for Transplantation, King's College London, London, UK.
Abdullatif AydinMRC Centre for Transplantation, King's College London, London, UK.ORCID 0000-0002-5440-7741
King's College London · GBHillingdon Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laparoscopic surgery is extensively utilized to treat a range of gynaecological conditions and pathologies. The advantages of laparoscopic surgery include the minimalization of blood loss and scarring, improved recovery times, and shorter hospital admissions. However, robotic technologies have had an increasing presence within gynaecological laparoscopic surgery in recent decades. This literature review therefore aims to discuss laparoscopy from 3 perspectives. First, the evolution of laparoscopy is reviewed with a focus on its origins, its transition from a diagnostic to an operative tool, and its role in present-day gynaecology. Second, interventions for benign gynaecological conditions (including excision of benign ovarian tumours, total laparoscopic hysterectomy, and laparoscopic myomectomy) are reviewed. The laparoscopic management of malignant gynaecology (including ovarian cancer, endometrial cancer, and cervical cancer) is also discussed. Finally, whilst robot-assisted laparoscopic surgery is experiencing rapid technological advancement, it is pertinent to consider the extent of its benefits when compared to open or conventional laparoscopic approaches in gynaecological surgery.

Indexed as

Gynecologic Surgical ProceduresLaparoscopyRobotic Surgical ProceduresFemaleHumansartificial intelligence in surgerygynecologic laparoscopyrobotic surgery

Identifiers

PMID38446503
PMCPMC11047015
OpenAlexW4392504965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.