Evidence map›Paper›PMID 37301748›Full record

ArticleJournal of the American Heart Association2023

Geographic Variation in Mortality of Acute Myocardial Infarction and Association With Health Care Accessibility in Beijing, 2007 to 2018.

Jie Chang, Qiuju Deng, Piaopiao Hu, Moning Guo, Feng Lu, Yuwei Su, Jiayi Sun, Yue Qi, Ying Long, Jing Liu

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Trends of acute myocardial infarction-related deaths in US patients from 1999 to 2020.Archives of medical sciences. Atherosclerotic diseases · 2024
    Article
  5. 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

10 authors.

Jie ChangCenter for Clinical and Epidemiologic Research Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical Epidemiology Beijing China.
Qiuju DengCenter for Clinical and Epidemiologic Research Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical Epidemiology Beijing China.
Piaopiao HuCenter for Clinical and Epidemiologic Research Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical Epidemiology Beijing China.
Moning GuoBeijing Municipal Health Big Data and Policy Research Center Beijing Institute of Hospital Management Beijing China.
Feng LuBeijing Municipal Health Big Data and Policy Research Center Beijing Institute of Hospital Management Beijing China.
Yuwei SuSchool of Urban Design Wuhan University Wuhan China.
Jiayi SunCenter for Clinical and Epidemiologic Research Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical Epidemiology Beijing China.
Yue QiCenter for Clinical and Epidemiologic Research Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical Epidemiology Beijing China.ORCID 0000-0002-6709-7041
Ying LongSchool of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education Tsinghua University Beijing China.ORCID 0000-0002-8657-6988
Jing LiuCenter for Clinical and Epidemiologic Research Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing Municipal Key Laboratory of Clinical Epidemiology Beijing China.ORCID 0000-0002-3311-0818

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background Little is known about geographic variation in acute myocardial infarction (AMI) mortality within fast-developing megacities and whether changes in health care accessibility correspond to changes in AMI mortality at the small-area level. Methods and Results We included data of 94 106 AMI deaths during 2007 to 2018 from the Beijing Cardiovascular Disease Surveillance System in this ecological study. We estimated AMI mortality for 307 townships during consecutive 3-year periods with a Bayesian spatial model. Township-level health care accessibility was measured using an enhanced 2-step floating catchment area method. Linear regression models were used to examine the association between health care accessibility and AMI mortality. During 2007 to 2018, median AMI mortality in townships declined from 86.3 (95% CI, 34.2-173.8) to 49.4 (95% CI, 30.5-73.7) per 100 000 population. The decrease in AMI mortality was larger in townships where health care accessibility increased more rapidly. Geographic inequality, defined as the ratio of the 90th to 10th percentile of mortality in townships, increased from 3.4 to 3.8. In total, 86.3% (265/307) of townships had an increase in health care accessibility. Each 10% increase in health care accessibility was associated with a -0.71% (95% CI, -1.08% to -0.33%) change in AMI mortality. Conclusions Geographic disparities in AMI mortality among Beijing townships are large and increasing. A relative increase in township-level health care accessibility is associated with a relative decrease in AMI mortality. Targeted improvement of health care accessibility in areas with high AMI mortality may help reduce AMI burden and improve its geographic inequality in megacities.

Indexed as

Myocardial InfarctionBayes TheoremBeijingHealth FacilitiesHealth Services AccessibilityHumansacute myocardial infarctiongeographic variationhealth care accessibilitymortality

Identifiers

PMID37301748
PMCPMC10356049

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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.