Evidence map›Paper›PMID 32399486›Full record

ArticleSurgery journal (New York, N.Y.)2020

Abdominal Myomectomy for Huge Uterine Myomas with Intra-arterial Balloon Occlusion: Approach to Reduce Blood Loss.

Satoru Takeda, Tsuyoshi Ota, Hiroshi Kaneda, Yasuhisa Terao, Ryohei Kuwatsuru

Open access · goldAbstract read
In one paragraph

Article in Surgery journal (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Satoru TakedaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Juntendo University, Tokyo, Japan.
Tsuyoshi OtaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Juntendo University, Tokyo, Japan.
Hiroshi KanedaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Juntendo University, Tokyo, Japan.
Yasuhisa TeraoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Juntendo University, Tokyo, Japan.
Ryohei KuwatsuruDepartment of Radiology, Faculty of Medicine, Juntendo University, Tokyo, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abdominal myomectomy for a huge myomas, especially uterine cervical myoma, is difficult because of risks, such as intraoperative bleeding or injury to adjacent organs. Therefore, understanding of the positional relationships among a huge myoma, especially cervical or intraligamental myoma, and the vascular plexuses in the right and left cardinal ligaments is important for prevention of massive bleeding during myomectomy. While sufficiently performing preoperative assessment with pelvic examination, ultrasonography, magnetic resonance imaging (MRI), etc., surgeons should always keep in mind how they can reduce the blood loss volume, while safely and surely performing resections. For a cervical myoma of the uterus and giant uterine leiomyoma that leave no intrapelvic space and prevent palpation and identification of the uterine arteries and the internal iliac arteries, surgery can be performed safely by preoperatively placing balloon catheters in the internal iliac arteries. Hemostaic strategies for myomectomy and tips of subsequent pregnancy following myomectomy are also described.

Indexed as

abdominal myomectomyhemorrhagehuge myomaintra-arterial balloon occlusionuterine cervical myoma

Identifiers

PMID32399486
PMCPMC7214084
OpenAlexW2964716045

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.