Evidence map›Paper›PMID 38166780›Full record

ArticleBMC public health2024

Association between living alone and all-cause mortality of young and middle-aged patients with acute myocardial infarction: analysis of the China Acute Myocardial Infarction (CAMI) registry.

Yu Jiang, Jin-Gang Yang, Hai-Yan Qian, Yue-Jin Yang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01874691 (China Acute Myocardial Infarction Registry), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-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.

NCT01874691 completednot on this map

China Acute Myocardial Infarction Registry

Typeobservational_patient_registrySponsorChinese Academy of Medical Sciences, Fuwai HospitalRan2013 to 2016Enrolled20,000ConditionsAcute Myocardial Infarction
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

Yu JiangCenter for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China.
Jin-Gang YangCenter for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China.
Hai-Yan QianCenter for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China. ahqhy712@163.com.
Yue-Jin YangCenter for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China. yangyjfw@126.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNFu Wai Hospital · CN

Funding

2th Five-year National Science and Technology Support Plan of the Scientific and Technological Department of China 2011BAI11B02Clinical and Translational Medical Research, Central Public Welfare Research of Chinese Academy of Medical Sciences 2019xk320061, 2022-I2M-C&T-B-050Clinical research of central high-level hospitals 2023-GSP-GG-32National Key Research and Development Program of China 2022YFC2009700, 2022YFC2009706Natural Science Foundation of Beijing Municipality 7222139
6 · The paper itself

Abstract

backgroundLack of social support is a known predictor of the prognosis after acute myocardial infarction (AMI). Although as a common factor associated with social support, there are limited data on long-term prognostic impact of living status in young and middle-aged patients with AMI.

methodsWe analyzed data from the China Acute Myocardial Infarction (CAMI) Registry, consecutive AMI young and middle-aged patients admitted at 108 hospitals in China between January 2013 and September 2014 were included. Eligible patients were assigned to living alone and not living alone groups based on their living status. The primary endpoint was 2-year all-cause mortality. The secondary endpoints included in-hospital mortality and 2-year major adverse cardiac and cerebrovascular events (MACCEs; a composite of all-cause mortality, MI, or stroke). Multilevel logistic and multilevel Cox regression models were used to evaluate the effect of living status on short-term and long-term outcomes.

resultsA total of 8307 consecutive AMI young and middle-aged patients were included, 192 (2.3%) patients were living alone. Of the analyzed patients, living alone was associated with 2-year all-cause mortality and MACCEs among all analyzed patients after multivariate adjustment (adjusted hazard ratio [HR] = 2.171 [1.210-3.895], P = 0.009; adjusted HR = 2.169 [1.395-3.370], P = 0.001), but not with poorer in-hospital mortality.

conclusionsThe analysis suggested that living alone was associated with both 2-year all-cause mortality and MACCEs in AMI young and middle-aged patients but did not show an extra effect on the in-hospital mortality after covariate adjustment.

trial registrationTrial registration number: NCT01874691; Registered 31 October 2012.

Indexed as

Home EnvironmentMyocardial InfarctionHospital MortalityHumansMiddle AgedRegistriesRisk FactorsAll-cause mortalityLiving aloneMyocardial InfarctionPrognosis

Identifiers

PMID38166780
PMCPMC10759749
OpenAlexW4390500627

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.