Evidence map›Paper›PMID 22057431›Full record

ArticleHeart and vessels2012

Difference of intensity and disparity in impact of climate on several vascular diseases.

Kiyotake Ishikawa, Manabu Niwa, Toshikazu Tanaka

Abstract read
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  9. Article
  10. Meteorological Factors Related to Emergency Admission of Elderly Stroke Patients in Shanghai: Analysis with a Multilayer Perceptron Neural Network.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Article
  11. Article
  12. The effect of season and temperature variation on hospital admissions for incident stroke events in Maputo, Mozambique.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2014
    Article
  13. Meteorological Variables Associated with Stroke.International scholarly research notices · 2014
    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

3 authors at 1 institution in 1 country.

Kiyotake IshikawaDepartment of Cardiology, Okazaki City Hospital, Okazaki, Japan. kiyotake.ishikawa@exchange.mssm.edu
Manabu Niwa
Toshikazu Tanaka
Okazaki City Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have reported the correlation between regional weather patterns and various vascular diseases. However, each vascular disease has inherent characteristics, and the difference of meteorological correlation between these diseases is not well known. This study was aimed at investigating the disparity and intensity of the relationship between meteorological factors and various vascular diseases. A total of 1113 events within 2 years were included in this study. Daily meteorological parameters with and without events were, respectively, compared in acute coronary syndrome (ACS), cerebral infarction (CI), cerebral embolism (CE), cerebral hemorrhage (CH), subarachnoid hemorrhage (SAH), aortic dissection (AD), and aortic aneurysm rupture (AAR). Days with CI onset correlated with fewer sunshine hours, fewer solar radiation factors, greater amounts of precipitation factors, and more humidity factors, whereas CH and CE only showed lower correlation in temperature factors. However, there was no relation seen between ACS, SAH, AD, AAR, and climatic parameters. Our findings suggest that climate affects various cardiovascular and cerebrovascular diseases differently. This finding may help in understanding the mechanism of how vascular events are triggered.

Indexed as

ClimateHealth Status DisparitiesResidence CharacteristicsWeatherAgedAged, 80 and overChi-Square DistributionFemaleHumansJapanLogistic ModelsMaleMiddle AgedOdds RatioPrognosisRisk Assessment

Identifiers

PMID22057431
OpenAlexW2050067495

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.