Evidence map›Paper›PMID 19036167›Full record

ArticleBMC public health2008

The future impact of population growth and aging on coronary heart disease in China: projections from the Coronary Heart Disease Policy Model-China.

Andrew Moran, Dong Zhao, Dongfeng Gu, Pamela Coxson, Chung-Shiuan Chen, Jun Cheng, Jing Liu, Jiang He, Lee Goldman

Abstract read
In one paragraph

Article in BMC public health, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

9 authors.

Andrew MoranDivision of General Internal Medicine, Columbia University Medical Center, New York, USA. aem35@columbia.edu
Dong Zhao
Dongfeng Gu
Pamela Coxson
Chung-Shiuan Chen
Jun Cheng
Jing Liu
Jiang He
Lee Goldman

Funding

Forecasting the Cardiovascular Disease Epidemic in ChinaK08HL089675 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORAN, ANDREW EDWARD · 2008 to 2012
$650k
NHLBI NIH HHS K08 HL089675
6 · The paper itself

Abstract

backgroundChina will experience an overall growth and aging of its adult population in coming decades. We used a computer model to forecast the future impact of these demographic changes on coronary heart disease (CHD) in China.

methodsThe CHD Policy Model is a validated state-transition, computer simulation of CHD on a national scale. China-specific CHD risk factor, incidence, case-fatality, and prevalence data were incorporated, and a CHD prediction model was generated from a Chinese cohort study and calibrated to age-specific Chinese mortality rates. Disability-adjusted life years (DALYs) due to CHD were calculated using standard methods. The projected population of China aged 35-84 years was entered, and CHD events, deaths, and DALYs were simulated over 2000-2029. CHD risk factors other than age and case-fatality were held at year 2000 levels. Sensitivity analyses tested uncertainty regarding CHD mortality coding, the proportion of total deaths attributable to CHD, and case-fatality.

resultsWe predicted 7.8 million excess CHD events (a 69% increase) and 3.4 million excess CHD deaths (a 64% increase) in the decade 2020-2029 compared with 2000-2009. For 2030, we predicted 71% of almost one million annual CHD deaths will occur in persons >or=65 years old, while 67% of the growing annual burden of CHD death and disability will weigh on adults <65 years old. Substituting alternate CHD mortality assumptions led to 17-20% more predicted CHD deaths over 2000-2029, though the pattern of increases in CHD events and deaths over time remained.

conclusionWe forecast that absolute numbers of CHD events and deaths will increase dramatically in China over 2010-2029, due to a growing and aging population alone. Recent data suggest CHD risk factor levels are increasing, so our projections may underestimate the extent of the potential CHD epidemic in China.

Indexed as

Population DynamicsPopulation GrowthProportional Hazards ModelsAdultAgedAged, 80 and overAge FactorsChinaComputer SimulationCoronary DiseaseCost of IllnessFemaleForecastingHumansIncidenceMale

Identifiers

PMID19036167
PMCPMC2631484

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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.