Evidence map›Paper›PMID 40753458›Full record

ArticleAnnals of Saudi medicine

Impact of 3D high-definition laparoscopy on total laparoscopic hysterectomy: a body mass index-stratified retrospective analysis.

Smit Bharat Solanki, Vineet V Mishra, Arminder Singh Dhiman

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In one paragraph

Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
–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

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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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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

3 authors.

Smit Bharat SolankiFrom the Department of Obstetrics and Gynecology, Institute of Kidney Diseases and Research Centre and Institute of Transplantation Sciences, Ahmedabad, India.ORCID 0009-0006-6475-7223
Vineet V MishraFrom the Department of Obstetrics and Gynecology, Apollo Hospitals Ahmedabad, Gandhinagar, India.
Arminder Singh DhimanFrom the Department of Sales, B Braun Medical India Pvt Ltd, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional (3D) high-definition (HD) laparoscopy is a promising tool in minimally invasive gynecologic surgery, offering enhanced depth perception and visualization. However, its role in total laparoscopic hysterectomy (TLH), particularly in patients with varying body mass index (BMI), remains underexplored.

objectiveTo evaluate the impact of 3D HD laparoscopy on surgical efficiency and patient outcomes in TLH, with a focus on BMI-related differences. DESIGN AND SETTINGS: A single-center retrospective study. PATIENTS AND

methodsSixty patients who underwent TLH were included: n=30 used 3D HD laparoscopy (Aesculap 3D EinsteinVision) and n=30 matched controls used 2D laparoscopy. Matching criteria included uterine weight and prior surgical history. Patients were stratified according to BMI (≤24.9, 25-29.9, ≥30.0 kg/m

main outcome measuresOperative time, vault suturing time, blood loss, trocar site incisions, haemoglobin drop, and complication rates. SAMPLE SIZE: 60 patients (30 in each group).

resultsThe 3D HD laparoscopy group demonstrated significant improvements across multiple outcomes. Trocar site incisions were significantly reduced in all BMI categories (

conclusion3D HD laparoscopy enhances surgical efficiency in TLH, especially in patients with higher BMI, by minimizing trocar site incisions, reducing vault suturing times, and improving hemostasis-highlighting its value in overcoming challenges of minimally invasive gynecologic surgery. LIMITATIONS: The study's retrospective design and modest sample size limit generalizability.

Indexed as

HysterectomyImaging, Three-DimensionalLaparoscopyAdultAgedBlood Loss, SurgicalBody Mass IndexFemaleHumansMiddle AgedOperative TimePostoperative ComplicationsRetrospective StudiesTreatment Outcome3D HD LaparoscopyMinimally Invasive GynecologyObesity in LaparoscopySurgical Outcomes Optimization

Identifiers

PMID40753458
PMCPMC12318252

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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.