Evidence map›Paper›PMID 30383802›Full record

ArticlePloS one2018

The macroeconomic burden of noncommunicable diseases in the United States: Estimates and projections.

Simiao Chen, Michael Kuhn, Klaus Prettner, David E Bloom

Abstract 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 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  12. Combinatorial chemistry & high throughput screening · 2025
    Article
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  20. Retrospective review of medicine utilization for noncommunicable diseases in three public sector pharmacies in Jamaica.Revista panamericana de salud publica = Pan American journal of public health · 2024
    Article

7 more citing papers are in PubMed but not listed here.

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

4 authors.

Simiao ChenHeidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.ORCID 0000-0003-0555-2157
Michael KuhnWittgenstein Centre (IIASA, VID/ÖAW, WU), Vienna Institute of Demography, Vienna, Austria.
Klaus PrettnerUniversity of Hohenheim, Institute of Economics, Stuttgart, Germany.
David E BloomDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0003-3731-3345

Funding

The Center for the Global Demography of AgingP30AG024409 · NIA · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI BLOOM, DAVID E · 2004 to 2019
$7.9M
Welfare Effects of Balancing the Federal Social Security and Health Care BudgetsR01AG048037 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI CANNING, DAVID J · 2014 to 2018
$3.2M
NIA NIH HHS P30 AG024409NIA NIH HHS R01 AG048037
6 · The paper itself

Abstract

We develop and calibrate a dynamic production function model to assess how noncommunicable diseases (NCDs) will affect U.S. productive capacity in 2015-2050. In this framework, aggregate output is produced according to a human capital-augmented production function that accounts for the effects of projected disease prevalence. NCDs influence the economy through the following pathways: 1) when working-age individuals die of a disease, aggregate output undergoes a direct loss because physical capital can only partially substitute for the loss of human capital in the production process. 2) If working-age individuals suffer from a disease but do not die from it, then, depending on the condition's severity, they tend to be less productive, might work less, or might retire earlier. 3) Current NCD interventions such as medical treatments and prevention require substantial resources. Part of these resources could otherwise be used for productive investments in infrastructure, education, or research and development. This implies a loss of savings across the population and hampers economy-wide physical capital accumulation. Our results indicate a total loss of USD94.9 trillion (in constant 2010 USD) due to all NCDs. Mental health conditions and cardiovascular diseases impose the highest burdens, followed by cancer, diabetes, and chronic respiratory diseases. In per capita terms, the economic burden of all NCDs in 2015-2050 is USD265,000. The total NCD burden roughly corresponds to an annual tax rate of 10.8% on aggregate income.

Indexed as

Models, EconomicForecastingGross Domestic ProductHealth PolicyHumansNoncommunicable DiseasesPrevalenceUnited States

Identifiers

PMID30383802
PMCPMC6211719

What OpenQuestion holds

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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.