Evidence map›Paper›PMID 29915622›Full record

ArticleJournal of geriatric cardiology : JGC2018

Impact of meteorological conditions and PM2.5 on the onset of acute aortic dissection in monsoonal climate.

Xiao-Nan He, Jin-Liang Zhan, Cheng Zhang, Yu Chen, Wei Gong, Wang Ji, Shao-Ping Nie

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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.

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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

7 authors.

Xiao-Nan HeEmergency Critical Care Center, Beijing AnZhen Hospital, Capital Medical University, Beijing, China.
Jin-Liang ZhanSchool of Management and Economics, Beijing Institute of Technology, Beijing, China.
Cheng ZhangDepartment of Cardiology, China-Japan United Hospital Affiliated to Jilin University, Changchun, China.
Yu ChenDepartment of Cardiology, China-Japan United Hospital Affiliated to Jilin University, Changchun, China.
Wei GongEmergency Critical Care Center, Beijing AnZhen Hospital, Capital Medical University, Beijing, China.
Wang JiBeijing Regional Climate Center, Beijing, China.
Shao-Ping NieEmergency Critical Care Center, Beijing AnZhen Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the impact of meteorological conditions and PM

methodsA linear regression analysis was performed in monsoonal climate epidemiological survey for a period of four years on the impact of meteorological factors (minimal temperature, mean temperature, maximal temperature, average daily surface temperature, day temperature range, relative humidity, mean wind speed, and atmospheric pressure) and PM

resultsDuring the study period (from January 2011 to December 2014), 1164 patients were identified as having acute aortic dissections. The corresponding incidences in spring and autumn were 0.96 and 1.00, respectively, which significantly higher than that in summer and winter. The incidences of acute aortic dissection in a day could be predicted by diurnal temperature range (DTR) using the following linear multiple regression models: incidences of acute aortic dissection = 0.543 + 0.025 × DTR.

conclusionThis is the first study to show an attributable effect of DTR on acute aortic events in monsoonal climate. Our study confirms that meteorological variables were important factors influencing the incidence of acute aortic dissection.

Indexed as

Acute aortic dissectionMeteorological conditionsPM2.5

Identifiers

PMID29915622
PMCPMC5997616

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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.