Evidence map›Paper›PMID 38313395›Full record

ArticleRisk management and healthcare policy2024

Effects of Daily Mean Temperature on Daily Hospital Admissions for Coronary Artery Disease: A Retrospective Study.

Rehua Wang, Yongjun Lin, Mao Chen, Wei Wang, Yongli Chen, Xiaoxia Qiu, Xing Miao

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Rehua Wang *Department of Cardiology, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.
Yongjun Lin *Department of General Medicine, the First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, 362000, People's Republic of China.
Mao ChenDepartment of Scientific Research, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.
Wei WangDepartment of Psychiatry, Fuzhou Neuro-Psychiatric Hospital Affiliated to Fujian Medical University, Fuzhou, 350008, People's Republic of China.ORCID 0009-0000-7837-7834
Yongli ChenDepartment of Cardiology, Fujian Provincial Hospital South Branch, Fuzhou, 350028, People's Republic of China.
Xiaoxia QiuDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Xing MiaoDepartment of Cardiology, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.
Fujian Medical University · CNFujian Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Temperature changes unfavorably impact on cardiovascular disease. However, the association between temperature changes and coronary artery disease (CAD) is not well documented. This study aimed to explore the association between daily mean temperature and daily CAD hospital admissions on the southeast coast of China (Fuzhou City). Methods: A total of 1883 CAD patients who underwent percutaneous coronary intervention between 2017 and 2019 were obtained. The severity of CAD was evaluated by the Gensini score. Distributed lag non-linear model (DLNM) combined with a quasi-Poisson regression model was used to examine the delayed effect between daily mean temperature and daily CAD hospital admissions. Stratified analyses were performed by Gensini score and severity of lesions. The relative risk (RR) with a 95% confidence interval (CI) was used to assess the relationship. Results: Extreme cold (8°C) (RR=0.49, 95% CI: 0.25-0.99) and moderate cold (10°C) (RR=0.56, 95% CI: 0.31-0.99) daily mean temperature with a lag of 0-20 days were correlated with lower risk of daily CAD hospital admissions. Moderate heat (30°C) (RR=1.80, 95% CI: 1.01-3.20) and extreme heat (32°C) (RR=2.02, 95% CI: 1.01-4.04) daily mean temperature with a lag of 0-20 days related to a higher risk of daily CAD hospital admissions. Similar results were observed for daily mean temperature with a lag of 0-25 days. Stratified analysis showed the lagged effect of daily mean temperature (lag 0, 0-5, 0-15, 0-20, and 0-25 days) on the daily CAD hospital admissions was observed only in patients with a Gensini score ≤39 (tertile 1). Conclusion: Cold temperatures may have a protective effect on daily CAD hospital admissions in the Fuzhou area, whereas hot temperatures can have an adverse effect.

Indexed as

coronary artery diseasedaily admissionsgensini scorelag effecttemperature

Identifiers

PMID38313395
PMCPMC10838496
OpenAlexW4391405549

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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.