Evidence map›Paper›PMID 38646385›Full record

ArticleCureus2024

Effect of Uterine Weight on the Surgical Outcomes of Robot-Assisted Hysterectomy in Benign Indications.

Naofumi Higuchi, Kiyoshi Kanno, Yoshifumi Ochi, Mari Sawada, Shintaro Sakate, Shiori Yanai, Masaaki Andou

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Naofumi HiguchiDepartment of Gynecology, Kurashiki Medical Center, Kurashiki, JPN.
Kiyoshi KannoDepartment of Gynecology, Kurashiki Medical Center, Kurashiki, JPN.
Yoshifumi OchiDepartment of Gynecology, Kurashiki Medical Center, Kurashiki, JPN.
Mari SawadaDepartment of Gynecology, Kurashiki Medical Center, Kurashiki, JPN.
Shintaro SakateDepartment of Gynecology, Kurashiki Medical Center, Kurashiki, JPN.
Shiori YanaiDepartment of Gynecology, Kurashiki Medical Center, Kurashiki, JPN.
Masaaki AndouDepartment of Gynecology, Kurashiki Medical Center, Kurashiki, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Uterine weight is an important factor in determining the complexity of a hysterectomy. Although greater uterine weight increases operative time and blood loss in open or laparoscopic surgery, it remains uncertain whether this applies to robot-assisted hysterectomy. This study aimed to investigate the effect of uterine weight on the surgical outcomes of robot-assisted hysterectomy. Methods We conducted a retrospective cohort study involving 872 patients who underwent robot-assisted hysterectomies at our institution between January 2019 and June 2022. Of these, 724 cases were analyzed and classified into four groups based on uterine weight: <250 g (377 patients), 250-500 g (253 patients), 500-750 g (69 patients), and ≥750 g (25 patients). We performed univariate analysis with the following endpoints: operation time, blood loss, postoperative hospital stay, complication rate, conversion to laparotomy rate, and blood transfusion rate. Results Operating time and blood loss increased significantly with greater uterine weight in the four groups (both p-values <0.01), but postoperative hospital stay and complication rate did not increase (p = 0.448, p = 0.679, respectively). None of the patients underwent conversion to laparotomy or blood transfusion. Conclusion Although the operating time for robot-assisted hysterectomy and blood loss increased with greater uterine weight, the complications and length of postoperative hospital stay were similar between groups. Robot-assisted hysterectomy is safe in cases of much uterine weight.

Indexed as

benign indicationshysterectomyminimally invasive surgeryrobotic surgeryuterine weight

Identifiers

PMID38646385
PMCPMC11031623

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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.