Evidence map›Paper›PMID 36466462›Full record

ArticleFrontiers in public health2022

Effect of ambient temperature and other environmental factors on stroke emergency department visits in Beijing: A distributed lag non-linear model.

Jinhua Zhao, Yongming Zhang, Ying Ni, Junyu He, Jianping Wang, Xuan Li, Yuming Guo, Changping Li, Wenyi Zhang, Zhuang Cui

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 2 countries.

Jinhua ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yongming ZhangDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Beijing, China.
Ying NiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Junyu HeOcean College, Zhejiang University, Zhoushan, China.
Jianping WangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Xuan LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yuming GuoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Changping LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Wenyi ZhangChinese PLA Center for Disease Control and Prevention, Beijing, China.
Zhuang CuiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Tianjin Medical University · CNChina-Japan Friendship Hospital · CNMonash University · AUZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most studies have focused on the relationship between ambient temperature and stroke mortality, but studies on the relationship between ambient temperature and stroke occurrence are still limited and inconsistent. Objective: This study aimed to analyze the effect of ambient temperature and other environmental factors on emergency stroke visits in Beijing. Methods: Our study utilized stroke visit data from the Beijing Red Cross Emergency Medical Center during 2017-2018, and applied a generalized additive model (GAM) as well as a distributed lag non-linear model (DLNM), respectively, regarding the direct, lagged, and cumulative effects of ambient temperature alone and with correction for other environmental factors on stroke occurrence. Results: With a total of 26,984 emergency stroke patients in 2017-2018, both cold and hot effects were observed and weakened after correction for other environmental factors. Compared to the reference temperature, in the multi-factor model, extreme cold (-10°C) reached a maximum relative risk (RR) of 1.20 [95% Confidence Interval (CI): 1.09, 1.32] at lag 14 days, and extreme hot (30°C) had a maximum RR of 1.07 (95% CI: 1.04, 1.11) at lag 6 days. The cumulative effect of extreme cold reached a maximum of 2.02 (95% CI: 1.11, 3.67) at lag 0-14 days, whereas the cumulative effect of extreme hot temperature is greatest at lag 0-10 days, but no statistically significant effect was found. In addition, ischemic stroke patients, the elderly, and males were more susceptible to the effects of cold temperature. Conclusions: There is a non-linear relationship between ambient temperature and stroke occurrence, with cold temperature having a greater and longer-lasting impact than hot temperature.

Indexed as

Nonlinear DynamicsStrokeAgedBeijingEmergency Service, HospitalHumansMaleTemperatureambient temperaturedistributed lag non-linear modelenvironmental factorsgeneralized additive modelstroke

Identifiers

PMID36466462
PMCPMC9709270
OpenAlexW4309309771

What OpenQuestion holds

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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.