Evidence map›Paper›PMID 37250183›Full record

ArticleCities (London, England)2023

Using street view imagery to examine the association between urban neighborhood disorder and the long-term recurrence risk of patients discharged with acute myocardial infarction in central Beijing, China.

Yuyang Zhang, Qiuju Deng, Moning Guo, Yan Li, Feng Lu, Jingjia Chen, Jiayi Sun, Jie Chang, Piaopiao Hu, Ningrui Liu and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cities (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 1 country.

Yuyang ZhangSchool of Architecture, Tsinghua University, Beijing 100084, China.
Qiuju DengDepartment of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China.
Moning GuoBeijing Municipal Health Commission Information Center (Beijing Municipal Health Commission Policy Research Center), Beijing, China.
Yan LiSchool of Architecture, Tsinghua University, Beijing 100084, China.
Feng LuBeijing Municipal Health Commission Information Center (Beijing Municipal Health Commission Policy Research Center), Beijing, China.
Jingjia ChenSchool of Architecture, Tsinghua University, Beijing 100084, China.
Jiayi SunDepartment of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China.
Jie ChangDepartment of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China.
Piaopiao HuDepartment of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China.
Ningrui LiuSchool of Architecture, Tsinghua University, Beijing 100084, China.
Jing LiuDepartment of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China.
Ying LongSchool of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, 100084, China.
Capital Medical University · CNTsinghua University · CNBeijing Municipal Education Commission · CN

Funding

Wellcome Trust 209376
6 · The paper itself

Abstract

Background: To examine the association between urban neighborhood disorder and the recurrence risk of patients with acute myocardial infarction (AMI) in central Beijing, China. Methods: Recurrent AMI was identified by the Beijing Monitoring System for Cardiovascular Diseases through the end of 2019 for patients discharged with AMI between 2007 and 2017. Cox proportional hazards models were performed to estimate associations between neighborhood disorder and AMI recurrence. Results: Of 66,238 AMI patients, 11,872 had a recurrent event, and 3117 died from AMI during a median followup of 5.92 years. After covariate adjustment, AMI patients living in the high tertile of neighborhood disorder had a higher recurrence risk (hazard ratio [HR] 1.08, 95 % confidence interval [CI], 1.03-1.14) compared with those in the low tertile. A stronger association was noted for fatal recurrent AMI (HR 1.21, 95 % CI 1.10-1.34). The association was mainly observed in females (HR 1.04, 95 % CI: 1.02 to 1.06). Conclusions: Serious neighborhood disorder may contribute to higher recurrence risk, particularly fatal recurrence, among AMI patients. Policies to eliminate neighborhood disorders may play an important role in the secondary prevention of cardiovascular disease.

Indexed as

Built environmentCardiovascular diseasePrognosisRecurrent acute myocardial infarction (AMI)Risk factor

Identifiers

PMID37250183
PMCPMC7614582
OpenAlexW4376870051

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LicenceCC BY
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Registered trials

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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.