Evidence map›Paper›PMID 23874619›Full record

ArticlePloS one2013

Large daily stock variation is associated with cardiovascular mortality in two cities of Guangdong, China.

Hualiang Lin, Yonghui Zhang, Yanjun Xu, Tao Liu, Jianpeng Xiao, Yuan Luo, Xiaojun Xu, Yanhui He, Wenjun Ma

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Hualiang LinGuangdong Provincial Institute of Public Health, Guangzhou, China.
Yonghui Zhang
Yanjun Xu
Tao Liu
Jianpeng Xiao
Yuan Luo
Xiaojun Xu
Yanhui He
Wenjun Ma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current study aimed to examine the effects of daily change of the Shenzhen Stock Exchange Index on cardiovascular mortality in Guangzhou and Taishan, China.

methodsDaily mortality and stock performance data during 2006-2010 were collected to construct the time series for the two cities. A distributed lag non-linear model was utilized to examine the effect of daily stock index changes on cardiovascular mortality after controlling for potential confounding factors.

resultsWe observed a delayed non-linear effect of the stock index change on cardiovascular mortality: both rising and declining of the stock index were associated with increased cardiovascular deaths. In Guangzhou, the 15-25 lag days cumulative relative risk of an 800 index drop was 2.08 (95% CI: 1.38-3.14), and 2.38 (95% CI: 1.31-4.31) for an 800 stock index increase on the cardiovascular mortality, respectively. In Taishan, the cumulative relative risk over 15-25 days lag was 1.65 (95% CI: 1.13-2.42) for an 800 index drop and 2.08 (95% CI: 1.26-3.42) for an 800 index rising, respectively.

conclusionsLarge ups and downs in daily stock index might be important predictor of cardiovascular mortality.

Indexed as

InvestmentsAir PollutionCardiovascular DiseasesChinaCitiesHumans

Identifiers

PMID23874619
PMCPMC3713028

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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.