Evidence map›Paper›PMID 37655182›Full record

ArticleGlobal health & medicine2023

Economic burden of cancer attributable to modifiable risk factors in Japan.

Eiko Saito, Shiori Tanaka, Sarah Krull Abe, Mayo Hirayabashi, Junko Ishihara, Kota Katanoda, Yingsong Lin, Chisato Nagata, Norie Sawada, Ribeka Takachi and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Global health & medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. The economic costs of excessive sedentary behaviour in Japan.Journal of public health (Oxford, England) · 2026
    Article
  3. Article
  4. 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

16 authors at 8 institutions in 1 country.

Eiko SaitoInstitute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.
Shiori TanakaDivision of Prevention, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Sarah Krull AbeDivision of Prevention, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Mayo HirayabashiDivision of Prevention, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Junko IshiharaSchool of Life and Environmental Science, Department of Food and Life Science, Azabu University, Kanagawa, Japan.
Kota KatanodaDivision of Surveillance and Policy Evaluation, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Yingsong LinDepartment of Public Health, Aichi Medical University School of Medicine, Nagakute, Japan.
Chisato NagataDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.
Norie SawadaDivision of Cohort Research, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Ribeka TakachiDepartment of Food Science and Nutrition, Graduate School of Humanities and Sciences, Nara Women's University, Nara, Japan.
Atsushi GotoYokohama City University, Department of Health Data Science, Graduate School of Data Science, Yokohama, Japan.
Junko TanakaDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kayo UedaDepartment of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
Megumi HoriSchool of Nursing, University of Shizuoka, Shizuoka, Japan.
Tomohiro MatsudaDivision of International Health Policy Research, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Manami InoueDivision of Prevention, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Aichi Medical University · JPAzabu University · JPGifu University · JPHiroshima University · JPKyoto University · JPNara Women's University · JPNational Center for Global Health and Medicine · JPUniversity of Shizuoka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlling avoidable causes of cancer may save cancer-related healthcare costs and indirect costs of premature deaths and productivity loss. This study aimed to estimate the economic burden of cancer attributable to major lifestyle and environmental risk factors in Japan in 2015. We evaluated the economic cost of cancer attributable to modifiable risk factors from a societal perspective. We obtained the direct medical costs for 2015 from the National Database of Health Insurance Claims and Specific Health Checkups of Japan, and estimated the indirect costs of premature mortality and of morbidity due to cancer using the relevant national surveys in Japan. Finally, we estimated the economic cost of cancer associated with lifestyle and environmental risk factors. The estimated cost of cancer attributable to lifestyle and environmental factors was 1,024,006 million Japanese yen (¥) (8,460 million US dollars [$]) for both sexes, and ¥673,780 million ($5,566 million) in men and ¥350,226 million ($2,893 million) in women, using the average exchange rate in 2015 ($1 = ¥121.044). A total of ¥285,150 million ($2,356 million) was lost due to premature death in Japan in 2015. Indirect morbidity costs that could have been prevented were estimated to be ¥200,602 million ($1,657 million). Productivity loss was highest for stomach cancer in men (¥28,735 million/$237 million) and cervical cancer in women (¥24,448 million/$202 million). Preventing and controlling cancers caused by infections including

Indexed as

cancercost of illnesseconomic burdenpopulation attributable fraction

Identifiers

PMID37655182
PMCPMC10461334
OpenAlexW4368228001

What OpenQuestion holds

Textmetadata
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.