Evidence map›Paper›PMID 39170178›Full record

ArticleHeliyon2024

A retrospective analysis of single-port laparoscopy in myoma management.

Hanqin Li, Wei You, Xiaoji Cai, Xiaoying Jin, Xuan Che

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Hanqin LiDepartment of Obstetrics and Gynecology, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, 314000, Zhejiang, China.
Wei YouDepartment of Obstetrics and Gynecology, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, 314000, Zhejiang, China.
Xiaoji CaiDepartment of Obstetrics and Gynecology, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, 314000, Zhejiang, China.
Xiaoying JinDepartment of Obstetrics and Gynecology, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, 314000, Zhejiang, China.
Xuan CheDepartment of Obstetrics and Gynecology, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, 314000, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study assesses the effectiveness and safety of single-port laparoscopic myomectomy (SPLM) versus conventional laparoscopic myomectomy (CLM). Methods: We conducted a retrospective case-control study at a university tertiary hospital, involving 262 patients treated from July 2020 to December 2022. Participants were divided into two groups: 132 underwent SPLM and 130 underwent CLM. Results: The two groups were comparable in terms of age, body mass index, parity, delivery history, preoperative anemia, number of myomas, and size of the largest myoma. The SPLM group showed a significant reduction in operation time (average 93 min) and estimated blood loss (average 50 ml) compared to the CLM group (average 118.5 min and 100 ml, respectively). Subgroup analysis based on the size, location, and number of myomas further highlighted the advantages of SPLM, particularly for patients with large (diameter ≥8 cm) or multiple myomas (number ≥4). Patient satisfaction was also notably higher in the SPLM group. Conclusions: Single-port laparoscopic myomectomy offers a highly effective, safer, and patient-preferred option for the surgical management of fibroids, especially in cases of large or multiple myomas. These findings suggest that SPLM could become the preferred surgical approach for complex fibroid cases, promising less trauma and quicker recovery for patients.

Indexed as

Minimally invasiveMyomectomySingle-port laparoscopicUterine myomas

Identifiers

PMID39170178
PMCPMC11337055

What OpenQuestion holds

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Registered trials

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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.