Evidence map›Paper›PMID 29920556›Full record

ArticlePloS one2018

Cost of illness of hepatocellular carcinoma in Japan: A time trend and future projections.

Kunichika Matsumoto, Yinghui Wu, Takefumi Kitazawa, Shigeru Fujita, Kanako Seto, Tomonori Hasegawa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

6 authors at 2 institutions in 2 countries.

Kunichika MatsumotoDepartment of Social Medicine, Toho University School of Medicine, Tokyo, Japan.
Yinghui WuSchool of Nursing, Shanghai Jiao Tong University, Shanghai, China.
Takefumi KitazawaDepartment of Social Medicine, Toho University School of Medicine, Tokyo, Japan.
Shigeru FujitaDepartment of Social Medicine, Toho University School of Medicine, Tokyo, Japan.
Kanako SetoDepartment of Social Medicine, Toho University School of Medicine, Tokyo, Japan.
Tomonori HasegawaDepartment of Social Medicine, Toho University School of Medicine, Tokyo, Japan.ORCID 0000-0002-1057-9867
Toho University · JPShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the fifth leading cause of death in Japan. The aim of this study was to calculate the social burden of HCC using the cost of illness (COI) method, and to identify the key factors driving changes in the economic burden of HCC.

methodsUtilizing government-based statistical nationwide data, the cost of illness (COI) method was used to estimate the COI for 1996, 1999, 2002, 2005, 2008, and 2014 to make predictions for 2017, 2020, 2023, 2026, and 2029. The COI comprised direct and indirect costs (morbidity and mortality costs) of HCC.

resultsFrom 1996 to 2014, COI trended downward. In 2014, COI (579.2 billion JPY) was 0.71 times greater than that in 1996 (816.2 billion JPY). Mortality costs accounted for more than 70% of total COI and were a major contributing factor to the decrease in COI. It was predicted that COI would continue a downward trend until 2029, and that the rate of decline would be similar.

conclusionsCOI of HCC has been decreasing since 1996. Treatment of patients infected with hepatitis C virus using newly introduced technologies has high therapeutic effectiveness, and will affect the future prevalence of HCC. These policies and technologies may accelerate the downward tendency of COI, and the relative economic burden of HCC is likely to continue to decrease.

Indexed as

Cost of IllnessAgedAged, 80 and overCarcinoma, HepatocellularFemaleForecastingHealth PolicyHepatitis C, ChronicHumansJapanLiver NeoplasmsMaleMiddle AgedModels, EconomicMorbidityMortality

Identifiers

PMID29920556
PMCPMC6007925
OpenAlexW2809245877

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.