Evidence map›Paper›PMID 39246734›Full record

ArticleJournal of clinical imaging science2024

MRI and PET/CT of multiple primary hepatic angiosarcomas in 25-year-old man: A case report.

Murat Jakipov, Aslan Karimov, Zaukiya Khamitova, Bayram Kochiev, Dauren Bolatov, Zhanat Spatayev, Saltanat Bolsynbekova, Zhuldyz Kuanysh, Dinara Zharlyganova

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In one paragraph

Article in Journal of clinical imaging science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Murat JakipovDepartment of Radiology, National Research Oncology Center, Astana, Kazakhstan.ORCID https://orcid.org/0009-0002-9438-6540
Aslan KarimovDepartment of Radiology, National Research Oncology Center, Astana, Kazakhstan.ORCID https://orcid.org/0009-0006-3303-1569
Zaukiya KhamitovaDepartment of Science, National Research Oncology Center, Astana, Kazakhstan.ORCID https://orcid.org/0000-0002-2409-5644
Bayram KochievDepartment of Radiology, National Research Oncology Center, Astana, Kazakhstan.ORCID https://orcid.org/0009-0007-8934-8327
Dauren BolatovDepartment of Radiology, National Research Oncology Center, Astana, Kazakhstan.
Zhanat SpatayevDepartment of Hepatopancreatobiliary Surgery, Onco-hepatology and Organ Transplantation, National Research Oncology Center, Astana, Kazakhstan.ORCID https://orcid.org/0000-0003-1659-431X
Saltanat BolsynbekovaDepartment of Pathology, National Research Oncology Center, Astana, Kazakhstan.
Zhuldyz KuanyshDepartment of Science, National Research Oncology Center, Astana, Kazakhstan.ORCID https://orcid.org/0000-0002-9578-4236
Dinara ZharlyganovaDepartment of Science, National Research Oncology Center, Astana, Kazakhstan.ORCID https://orcid.org/0000-0001-6383-4035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to provide a comprehensive understanding of primary hepatic angiosarcoma, a rare and aggressive malignancy, focusing on its diagnostic challenges and unique imaging characteristics. The objective is to delineate the distinctive features of angiosarcoma through computed tomography and magnetic resonance imaging modalities, contributing to improved diagnostic precision and adding valuable insights to the scientific literature. We present the case of a 25-year-old male with primary hepatic angiosarcoma, emphasizing the challenges in distinguishing it from other vascular tumors.

Indexed as

Epithelioid hemangioendotheliomaHepatic angiosarcomaImaging characteristicsLiver cancer

Identifiers

PMID39246734
PMCPMC11380813

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.