Evidence map›Paper›PMID 32033166›Full record

ArticleCancers2020

Visceral Adipose Tissue Radiodensity Is Linked to Prognosis in Hepatocellular Carcinoma Patients Treated with Selective Internal Radiation Therapy.

Maryam Ebadi, Carlos Moctezuma-Velazquez, Judith Meza-Junco, Vickie E Baracos, Abha R DunichandHoedl, Sunita Ghosh, Philippe Sarlieve, Richard J Owen, Norman Kneteman, Aldo J Montano-Loza

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Maryam EbadiDivision of Gastroenterology & Liver Unit, University of Alberta, Edmonton, AB T6G 2X8, Canada.
Carlos Moctezuma-VelazquezDivision of Gastroenterology & Liver Unit, University of Alberta, Edmonton, AB T6G 2X8, Canada.
Judith Meza-JuncoDepartment of Oncology, Cross Cancer Institute, Edmonton, AB T6G 1Z2, Canada.
Vickie E BaracosDepartment of Oncology, Cross Cancer Institute, Edmonton, AB T6G 1Z2, Canada.
Abha R DunichandHoedlDepartment of Oncology, Cross Cancer Institute, Edmonton, AB T6G 1Z2, Canada.
Sunita GhoshDepartment of Oncology, Cross Cancer Institute, Edmonton, AB T6G 1Z2, Canada.
Philippe SarlieveDepartment of Radiology and Diagnostic Imaging, Edmonton, AB T6G 2B7, Canada.
Richard J OwenDepartment of Radiology and Diagnostic Imaging, Edmonton, AB T6G 2B7, Canada.
Norman KnetemanDivision of Transplantation, Department of Surgery, University of Alberta Hospital, Edmonton, AB T6G 2B7, Canada.
Aldo J Montano-LozaDivision of Gastroenterology & Liver Unit, University of Alberta, Edmonton, AB T6G 2X8, Canada.
University of Alberta · CAUniversity of Alberta Hospital · CA

Funding

Canadian National Transplant Research Program (CNTRP), ATIF Innovation Grant Award 2018CIHR HGY-164788
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) constitutes the fourth leading cause of cancer-related mortality. Various factors, such as tumor size, tumor multiplicity, and liver function, have been linked to the prognosis of HCC. The aim of this study was to explore the prognostic significance of muscle, subcutaneous and visceral adipose tissue (VAT) mass, and radiodensity, in a cohort of 101 HCC patients treated with selective internal radiation therapy (SIRT). Muscle and adipose tissue cross sectional area (cm

Indexed as

adverse eventsbody compositionCT attenuationmortalityradioembolization

Identifiers

PMID32033166
PMCPMC7072301
OpenAlexW3004959636

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.