Evidence map›Paper›PMID 40295457›Full record

ArticleJournal of robotic surgery2025

Innovative classification system for enlarged uterus in laparoscopic and robotic hysterectomy with complications and pain scores.

Sana Mushtaq, Muhammad Arslan Ul Hassan, Zhuo Wang, Ngenzi Richard Djurist, Ayang Mba Teresa, Yan Li

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Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sana MushtaqDepartment of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.ORCID http://orcid.org/0009-0008-0774-1916
Muhammad Arslan Ul HassanSchool of International Education, Ningxia Medical University, Yinchuan, 750004, China.ORCID http://orcid.org/0009-0001-2147-9239
Zhuo WangDepartment of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.ORCID http://orcid.org/0009-0002-0123-7854
Ngenzi Richard DjuristSchool of International Education, Ningxia Medical University, Yinchuan, 750004, China.ORCID http://orcid.org/0009-0002-9117-4446
Ayang Mba TeresaDepartment of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.ORCID http://orcid.org/0009-0005-7804-7233
Yan LiDepartment of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, 750004, China. ZYY02386@nxmu.edu.cn.ORCID http://orcid.org/0009-0008-5585-0033

Funding

This research was supported by the Ningxia Hui Autonomous Region Science and Technology Benefit People Project. 2023CMG03027
6 · The paper itself

Abstract

The aim of this study was to compare the surgical outcomes of robot-assisted hysterectomy (RAH) with those of conventional laparoscopic hysterectomy (CLH) for large uteri via a novel classification system. Ambispective analysis of 237 cases was performed, comprising 90 retrospectively reviewed cases and 147 prospectively enrolled cases. Patients were categorized into two main groups based on surgical procedure (RAH and CLH) and three subgroups each (type 1 (T1), type 2 (T2), and type3 (T3)) based on uterine size. Key outcomes, including the operative time and perioperative complications, were analyzed. Quality of life was assessed using the EuroQol-5 Dimensions and the Female Sexual Function Index questionnaires. The surgeon's learning curve was evaluated using surgical data. Among 237 patients, 47.3% underwent RAH and 52.7% underwent CLH. RAH was preferred for larger uteri (T3: 888.8 ± 136 g) vs. CLH (T3: 778.8 ± 83.7 g, P < 0.001). However, compared with CLH, RAH had a longer operative time, lower blood loss (RAH, T3: 107.8 ± 69.8 mL vs. CLH, T3 309 ± 248.4 mL, P < 0.001), better hemoglobin recovery, and shorter hospitalization (P < 0.05). Most of the complications (ureteric injury, laparotomy conversion, gastrointestinal injuries) occurred only in the CLH group, whereas vascular and bladder injuries were observed in both groups. Pain scores normalized by the 4th week, patient satisfaction was greater in RAH group (RAH 75.3% vs CLH 72.3%), and sexual function was comparable. Surgeon's experience improved over time, especially for large uteri. RAH is associated with more favorable outcomes than CLH, especially with regard to larger uteri (T3).

Indexed as

HysterectomyLaparoscopyRobotic Surgical ProceduresUterusAdultBlood Loss, SurgicalFemaleHumansMiddle AgedOperative TimeOrgan SizePain MeasurementPostoperative ComplicationsPostoperative PainQuality of LifeRetrospective StudiesClassificationEnlarged uterusHysterectomyLearning curveQuality of life

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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.