Evidence map›Paper›PMID 32993606›Full record

ArticleBMC public health2020

Forecasting disability-adjusted life years for chronic diseases: reference and alternative scenarios of salt intake for 2017-2040 in Japan.

Shuhei Nomura, Daisuke Yoneoka, Shiori Tanaka, Aya Ishizuka, Peter Ueda, Keiji Nakamura, Hisayuki Uneyama, Naoki Hayashi, Kenji Shibuya

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

9 authors at 6 institutions in 5 countries.

Shuhei NomuraDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. nom3.shu@gmail.com.ORCID http://orcid.org/0000-0002-2963-7297
Daisuke YoneokaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shiori TanakaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Aya IshizukaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Peter UedaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Keiji NakamuraGraduate School of Environmental and Information Studies, Tokyo City University, Yokohama, Japan.
Hisayuki UneyamaAjinomoto Co., Inc., Tokyo, Japan.
Naoki HayashiAjinomoto Co., Inc., Tokyo, Japan.
Kenji ShibuyaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ajinomoto (Japan) · JPKeio University · JPThe University of Tokyo · JPKarolinska Institutet · SEKing's College London · GBTokyo City University · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology of Japan 18K10082Ministry of Education, Culture, Sports, Science and Technology of Japan 19H01074
6 · The paper itself

Abstract

backgroundIn Japan, a high-sodium diet is the most important dietary risk factor and is known to cause a range of health problems. This study aimed to forecast Japan's disability-adjusted life year (DALYs) for chronic diseases that would be associated with high-sodium diet in different future scenarios of salt intake. We modelled DALY forecast and alternative future scenarios of salt intake for cardiovascular diseases (CVDs), chronic kidney diseases (CKDs), and stomach cancer (SC) from 2017 to 2040.

methodsWe developed a three-component model of disease-specific DALYs: a component on the changes in major behavioural and metabolic risk predictors including salt intake; a component on the income per person, educational attainment, and total fertility rate under 25 years; and an autoregressive integrated moving average model to capture the unexplained component correlated over time. Data on risk predictors were obtained from Japan's National Health and Nutrition Surveys and from the Global Burden of Disease Study 2017. To generate a reference forecast of disease-specific DALY rates for 2017-2040, we modelled the three diseases using the data for 1990-2016. Additionally, we generated better, moderate, and worse scenarios to evaluate the impact of change in salt intake on the DALY rate for the diseases.

resultsIn our reference forecast, the DALY rates across all ages were predicted to be stable for CVDs, continuously increasing for CKDs, and continuously decreasing for SC. Meanwhile, the age group-specific DALY rates for these three diseases were forecasted to decrease, with some exceptions. Except for the ≥70 age group, there were remarkable differences in DALY rates between scenarios, with the best scenario having the lowest DALY rates in 2040 for SC. This represents a wide scope of future trajectories by 2040 with a potential for tremendous decrease in SC burden.

conclusionsThe gap between scenarios provides some quantification of the range of policy impacts on future trajectories of salt intake. Even though we do not yet know the policy mix used to achieve these scenarios, the result that there can be differences between scenarios means that policies today can have a significant impact on the future DALYs.

Indexed as

Quality-Adjusted Life YearsAdultCardiovascular DiseasesChronic DiseaseDietForecastingHealth PromotionHumansJapanMaleMiddle AgedNutrition SurveysPersons with DisabilitiesRenal Insufficiency, ChronicRisk FactorsSodium Chloride, DietarySodium Chloride, DietaryCardiovascular diseasesChronic kidney diseasesDisability-adjusted life yearsFuture predictionJapanSalt intakeStomach cancer

Identifiers

PMID32993606
PMCPMC7526266
OpenAlexW3091067772

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.