Evidence map›Paper›PMID 28602057›Full record

ArticleCancer research and treatment2018

Body Composition Predicts Survival in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization.

Neehar D Parikh, Peng Zhang, Amit G Singal, Brian A Derstine, Venkat Krishnamurthy, Pranab Barman, Akbar K Waljee, Grace L Su

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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  10. Metabolic abnormalities, liver and body fat in AmericanJGH open : an open access journal of gastroenterology and hepatology · 2022
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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

8 authors at 6 institutions in 1 country.

Neehar D ParikhDivision of Gastroenterology, University of Michigan Medical School, Ann Arbor, MI, USA.
Peng ZhangDepartment of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.
Amit G SingalDivision of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, TX, USA.
Brian A DerstineDepartment of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.
Venkat KrishnamurthyVA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Pranab BarmanDivision of Gastroenterology, University of Michigan Medical School, Ann Arbor, MI, USA.
Akbar K WaljeeDivision of Gastroenterology, University of Michigan Medical School, Ann Arbor, MI, USA.
Grace L SuDivision of Gastroenterology, University of Michigan Medical School, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USAnalysis Group (United States) · USMorpho (United States) · USSouthwestern Medical Center · USVA Ann Arbor Healthcare System · USVA Center for Clinical Management Research · US

Funding

Developing Personalized Treatment for Diabetes Through Novel Imaging MethodsK01DK106296 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, PENG · 2016 to 2018
$465k
NIDDK NIH HHS K01 DK106296
6 · The paper itself

Abstract

purposeThe prognosis of patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) is often uncertain. We aimed to utilize analytic morphomics, a high-throughput imaging analysis, to assess if body composition is predictive of post-TACE survival. MATERIALS AND

methodsWe included patients from a single center (Ann Arbor VA)who had TACE as the primary treatment forHCC and had a pre-treatment computed tomography scans. Univariate analysis and multivariate conditional inference tree analysis were utilized to identify the morphomic characteristics predictive of 1-year survival. Results were validated in an external cohort(University of MichiganHealth System) ofHCC patientswho underwent TACE as their primary treatment.

resultsIn the 75 patients in the derivation cohort, median survival was 439 (interquartile range, 377 to 685) days from receipt of TACE, with 1-year survival of 61%. Visceral fat density (VFD) was the only morphomic factor predictive of overall and 1-year survival (p < 0.001). Patients with VFD above the 56th percentile had a 1-year survival of 39% versus 78% for those below the 56th percentile. VFD also correlated with 1-year survival in the external validation cohort (44% vs. 72%, p < 0.001). In a secondary analysis, patients with higher VFD were significantly more likely to experience hepatic decompensation after TACE (p < 0.001).

conclusionVFD served as an objective predictor of mortality in patients undergoing TACE, possibly through its ability to predict hepatic decompensation. VFD may serve as a radiographic biomarker in predicting TACE outcomes.

Indexed as

Body CompositionCarcinoma, HepatocellularChemoembolization, TherapeuticCohort StudiesFemaleHumansLiver NeoplasmsMaleMiddle AgedPrognosisSurvival AnalysisChemoembolizationHepatocellular carcinomaTherapeutic

Identifiers

PMID28602057
PMCPMC5912126
OpenAlexW2621134774

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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.