Evidence map›Paper›PMID 38516437›Full record

ArticleCureus2024

Surgical Anatomical Structure of Uterine Artery Caudal Space for Robot-Assisted Extrafascial Hysterectomy With Ureterohypogastric Nerve Fascia Preservation: A Case Description.

Koji Shimabukuro, Maiko Ichikawa, Takafumi Tsukada, Seiichi Endo, Masae Sakamoto

Open access · diamondAbstract readCase Reports
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. 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 96% 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

5 authors at 1 institution in 1 country.

Koji ShimabukuroDepartment of Obstetrics and Gynecology, Tsuchiura Kyodo General Hospital, Tsuchiura, JPN.
Maiko IchikawaDepartment of Obstetrics and Gynecology, Tsuchiura Kyodo General Hospital, Tsuchiura, JPN.
Takafumi TsukadaDepartment of Obstetrics and Gynecology, Tsuchiura Kyodo General Hospital, Tsuchiura, JPN.
Seiichi EndoDepartment of Obstetrics and Gynecology, Tsuchiura Kyodo General Hospital, Tsuchiura, JPN.
Masae SakamotoDepartment of Obstetrics and Gynecology, Tsuchiura Kyodo General Hospital, Tsuchiura, JPN.
Tsuchiura Kyodo General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A surgical technique has been developed using a robot-assisted system to create the surgical anatomical structure of the uterine artery caudal space (UACS), a landmark for performing extrafascial hysterectomy, enabling a safe and easy parametrial resection to prevent ureteral injury and cervical sidewall bleeding at hysterectomy. UACS is created to preserve the ureterohypogastric nerve fascia (UHNF), which envelopes the ureter and the hypogastric nerve, and the vesicohypogastric fascia (VF), which wraps the uterine artery and veins. The boundaries of UACS are UHNF laterally, the uterine cervix medially, and VF cranially. VF is penetrated between UACS and the medial pararectal space under the uterine vessels and transected. We present a case of early-stage uterine cancer and describe the new surgical technique in detail, using UACS as a surgical landmark. This surgical technique could be applied not only to early-stage uterine cancer but also to benign uterine tumors using a robot-assisted surgical system.

Indexed as

extrafascial hysterectomyrobot-assisted surgeryureterohypogastric nerve fasciauterine artery caudal spacevesicohyogastric fascia

Identifiers

PMID38516437
PMCPMC10955365
OpenAlexW4391964196

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.