Evidence map›Paper›PMID 32280757›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2020

Assessment of tumor volume and density as a measure of the response of advanced hepatocellular carcinoma to sorafenib: Application of automated measurements on computed tomography scans.

Junta Yamamichi, Yasunori Kawaguchi, Taiga Otsuka, Shunya Nakashita, Hideaki Mizobe, Yuichiro Eguchi, Shinya Kimura

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  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

7 authors.

Junta YamamichiMedical Equipment Business Planning Department, Medical Systems Operations Canon Inc. Tokyo Japan.
Yasunori KawaguchiDepartment of Hepatobiliary and Pancreatology Saga-ken Medical Centre Koseikan Saga Japan.
Taiga OtsukaDepartment of Oncology Saga-ken Medical Centre Koseikan Saga Japan.
Shunya NakashitaDepartment of Hepatobiliary and Pancreatology Saga-ken Medical Centre Koseikan Saga Japan.
Hideaki MizobeMedical Equipment Business Planning Department, Medical Systems Operations Canon Inc. Tokyo Japan.
Yuichiro EguchiDepartment of Internal Medicine, Faculty of Medicine Saga University Saga Japan.
Shinya KimuraDepartment of Internal Medicine, Faculty of Medicine Saga University Saga Japan.ORCID https://orcid.org/0000-0003-1717-6208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimTo better predict patient survival, we used automated tumor volume and density measurements to make an objective radiological assessment of the response of advanced hepatocellular carcinoma (HCC) to treatment with sorafenib.

methodsPatients treated with sorafenib were identified retrospectively. Those who were diagnosed with Child-Pugh class A liver function, Barcelona-Clinic Liver Cancer stage C, and Eastern Cooperative Oncology Group performance status grade 0/1 were enrolled (

resultsAfter patients were dichotomized according to volume and density criteria, the median OS for those with an objective response (OR) (complete response + partial response) was 20.4 months and that for those with a non-OR (stable disease + progressive disease) was 9.3 months (

conclusionsTumor volume and density assessment using automated lesion measurements may be an objective method of evaluating responses of advanced HCC to treatment with sorafenib.

Indexed as

densityhepatocellular carcinomaResponse Evaluation Criteria in Solid Tumorssorafenibsurvivalvolumetry

Identifiers

PMID32280757
PMCPMC7144795

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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.