Evidence map›Paper›PMID 37894326›Full record

ArticleCancers2023

Vascular and Urinary Tract Anatomic Variants Relevant to Para-Aortic Lymphadenectomy in Women with Gynecological Cancers.

Nina Kovačević, Marko Hočevar, Gregor Vivod, Sebastjan Merlo

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. 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
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 1 institution in 1 country.

Nina KovačevićDepartment of Gynecological Oncology, Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia.ORCID 0000-0001-9612-0258
Marko HočevarDepartment of Gynecological Oncology, Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia.
Gregor VivodDepartment of Gynecological Oncology, Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia.
Sebastjan MerloDepartment of Gynecological Oncology, Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia.
University of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPara-aortic lymphadenectomy is an essential part of gynecologic oncologic surgical treatment. The surgeon should be aware of the complex usual anatomy and its common variants.

methodsBetween January 2021 and May 2023, 58 women underwent para-aortic lymphadenectomy for gynecologic malignancies.

resultsVascular and urinary tract anatomic variants were retrospectively reviewed from the prospective institutional database and results were compared with preoperative contrast-enhanced abdominal CT. Of these 58 women, 47 women had no vascular or urinary tract variants. One woman had a double inferior vena cava, two patients were found to have a retro-aortic left renal vein, four had accessory renal arteries, two had a double left ureter, one had a ptotic kidney in the iliac fossa, and one patient had bilateral kidney malrotation. Anatomic variants in the preoperative CT were described by a radiologist in only two patients, and additional vascular and urinary tract variants were found incidentally at the time of surgery.

conclusionsAcknowledgment of vascular and urinary tract variants is helpful for the surgeon to establish an appropriate surgical plan and to avoid iatrogenic surgical trauma.

Indexed as

anatomyaortagynecologic malignancyinferior vena cavapara-aortic lymphadenectomyrenal arteryrenal veinureterurinary tract

Identifiers

PMID37894326
PMCPMC10605252
OpenAlexW4387581193

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.