Evidence map›Paper›PMID 33900441›Full record

ArticleInternational archives of occupational and environmental health2021

The effect and prediction of diurnal temperature range in high altitude area on outpatient and emergency room admissions for cardiovascular diseases.

Wenzhi Zhu, Xingfu Wei, Li Zhang, Qin Shi, Guoxiu Shi, Xiaofei Zhang, Minzhen Wang, Chun Yin, Feng Kang, Yana Bai and 2 more

Abstract read
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In one paragraph

Article in International archives of occupational and environmental health, 2021. 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
0.8field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Wenzhi Zhu *Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Xingfu Wei *Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, 730000, China.
Li Zhang *Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Qin ShiInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Guoxiu ShiInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Xiaofei ZhangInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Minzhen WangInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Chun YinWorkers' Hospital of Jinchuan Group Co., Ltd., Jinchang, 737102, China.
Feng KangWorkers' Hospital of Jinchuan Group Co., Ltd., Jinchang, 737102, China.
Yana BaiInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Yonghong NieJinchang Center for Disease Prevention and Control, Jinchang, 737100, China. jcnyh@163.com.
Shan ZhengInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China. zhengsh@lzu.edu.cn.
Lanzhou University · CNJinchuan (China) · CNGansu Provincial Maternal and Child Health Hospital · CNNanchang Center for Disease Control and Prevention · CN

Funding

Fundamental Research Funds for the Central Universities lzujbky-2020-sp22National Natural Science Foundation of China 41505095National Natural Science Foundation of China 41705122
6 · The paper itself

Abstract

purposeDiurnal temperature range (DTR) is a meteorological indicator closely associated with global climate change. Thus, we aim to explore the effects of DTR on the outpatient and emergency room (O&ER) admissions for cardiovascular diseases (CVDs), and related predictive research.

methodsThe O&ER admissions data for CVDs from three general hospitals in Jinchang of Gansu Province were collected from 2013 to 2016. A generalized additive model (GAM) with Poisson regression was employed to analyze the effect of DTR on the O&ER admissions for all cardiovascular diseases, hypertension, ischemic heart disease (IHD) and stoke. GAM was also used to preform predictive research of the effect of DTR on the O&ER admissions for CVDs.

resultsThere were similar positive linear relationships between DTR and the O&ER visits with the four cardiovascular diseases. And the cumulative lag effects were higher than the single lag effects. A 1 °C increase in DTR corresponded to a 1.30% (0.99-1.62%) increase in O&ER admissions for all cardiovascular diseases. Males and elderly were more sensitivity to DTR. The estimates in non-heating season were higher than in heating season. The trial prediction accuracy rate of CVDs based on DTR was between 59.32 and 74.40%.

conclusionsDTR has significantly positive association with O&ER admissions for CVDs, which can be used as a prediction index of the admissions of O&ER with CVDs.

Indexed as

AltitudeTemperatureAgedAir PollutionCardiovascular DiseasesChinaEmergency Service, HospitalFemaleHospitalizationHumansMaleOutpatientsCardiovascular diseasesDiurnal temperature range (DTR)Generalized additive model (GAM)Prediction research

Identifiers

PMID33900441
OpenAlexW3159306406

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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.