Evidence map›Paper›PMID 37908921›Full record

ArticleCureus2023

Optimizing Total Laparoscopic Hysterectomy for the Geriatric Population: A Practical Case Study and Comprehensive Literature Review.

Vishal Bahall, Lance De Barry, Keevan Singh

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 countries.

Vishal BahallDepartment of Obstetrics and Gynaecology, The University of the West Indies, St. Augustine, TTO.
Lance De BarryDepartment of Obstetrics and Gynaecology, San Fernando General Hospital, San Fernando, TTO.
Keevan SinghAnaesthesia and Intensive Care Unit, Department of Clinical and Surgical Sciences, The University of the West Indies, San Fernando, TTO.
University of the West Indies System · JM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elderly patients represent a large cohort of patients requiring gynaecological surgery for benign and malignant indications. In recent years, several conventional gynaecological procedures have shifted towards minimally invasive alternatives such as laparoscopy, hysteroscopy, and robotic surgery. A recent Surveillance, Epidemiology, and End Results (SEER) analysis compared the outcomes of 25,000 women undergoing laparotomy versus laparoscopic approach to hysterectomy and found that laparoscopy is associated with a shorter duration of hospitalization (three days versus five days), less postoperative complications (76%), less requirement for blood transfusion, reduced operational costs, faster recovery, and an overall safer surgical experience. Although geriatric patients are affected by age-related comorbidities, physiologic changes, and altered pharmacodynamics and pharmacokinetics of administered drugs, these patients benefit most from minimally invasive surgery. In this paper, we present a comprehensive account of the interdisciplinary perioperative approaches employed to accomplish a total laparoscopic hysterectomy, bilateral salpingo-oophorectomy, and pelvic lymph node dissection in an 82-year-old patient who was diagnosed with grade I endometrial adenocarcinoma and multiple age-related medical comorbidities.

Indexed as

elderly individualsendometrial cancergynaecology oncologyisolated tumor cellslaparoscopic surgerytotal laparoscopic hysterectomy (tlh)

Identifiers

PMID37908921
PMCPMC10615228
OpenAlexW4387222419

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.