Evidence map›Paper›PMID 32108242›Full record

ArticleHeart and vessels2020

Meteorological and chronobiological factors and the occurrence of acute aortic dissection.

Kenji Sadamatsu, Shuichiro Sagara, Kensuke Oe, Hideki Tashiro, Hiroshi Yasunaga

Abstract read
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2020. 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
0.7field-weighted citation impact, top 32% 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, 11 citations in OpenAlex.

  1. The Japanese Society of Hypertension Practical Consensus Guidelines for Seasonal Blood Pressure Management.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
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

5 authors at 1 institution in 1 country.

Kenji SadamatsuDepartment of Cardiology, St. Mary's Hospital, Kurume, Japan. k-sadamatsu@umin.ac.jp.ORCID http://orcid.org/0000-0003-2614-9447
Shuichiro SagaraDepartment of Cardiology, St. Mary's Hospital, Kurume, Japan.
Kensuke OeDepartment of Cardiology, St. Mary's Hospital, Kurume, Japan.
Hideki TashiroDepartment of Cardiology, St. Mary's Hospital, Kurume, Japan.
Hiroshi YasunagaDepartment of Cardiovascular Surgery, St. Mary's Hospital, 422 Tsubukuhon-machi, Kurume, Fukuoka, 830-8543, Japan.
St Mary's Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although a number of studies have demonstrated seasonal variations in acute cardiovascular events, the association between winter and low temperatures and the incidence rate of acute aortic dissection has not been fully elucidated. In this study, we investigated the association between meteorological and chronobiological factors and the occurrence of acute aortic dissection classified by the Stanford type, sex and age. We retrospectively collected 131 patients who had been admitted consecutively to our institution with acute aortic dissection, including 58 type A patients and 73 type B patients, from January 2013 to December 2017. The meteorological data were downloaded from the homepage of the Japan Meteorological Agency. The daily incidence of aortic dissection was higher in winter (10.2%) than in fall (5.3%) (P = 0.04), and a significant winter peak was also observed in the sub-groups of males and type B, while there were no significant differences in the proportions of type A, female, and ≤ 70- and > 70-year-old patients. The maximum, mean and minimum temperatures on the days with aortic dissection were significantly lower than on the days without aortic dissection. Divided into four seasons, lower temperatures were found only in spring. The most significant and greatest difference was observed between the maximum temperature on the day of aortic dissection and that at 2 days earlier. The multivariate logistic regression analysis showed that the difference in the maximum temperature between the day of and 2 days before the incident (odds ratio 0.91; 95% confidence interval 0.87-0.96; P < 0.01) as well as the maximum temperature (odds ratio 0.97; 95% confidence interval 0.95-0.99; P = 0.02) were significantly associated with the incidence of aortic dissection. Cold weather and a sudden decrease in temperature might trigger aortic dissection, although the influence might differ among sub-groups.

Indexed as

SeasonsAcute DiseaseAgedAged, 80 and overAortic AneurysmAortic DissectionCold TemperatureFemaleHumansIncidenceJapanMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsAortaDissectionPrecipitationSeasonsStanford typeTemperature

Identifiers

PMID32108242
OpenAlexW3007658709

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.