Evidence map›Paper›PMID 32953680›Full record

ArticleIranian journal of public health2020

Prevalence of Acute Myocardial Infarction and Changing Meteorological Conditions in Iran: Fuzzy Clustering Approach.

Hamid Sharif Nia, Ozkan Gorgulu, Saeed Pahlevan Sharif, Erika Sivarajan Froelicher, Ali Akbar Haghdoost, Samad Golshani, Ameneh Yaghoobzadeh, John Henry Noble, Roghieh Nazari, Amir Hossein Goudarzian and 1 more

Open access · goldAbstract read
PubMed Full text at PMC
In one paragraph

Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Seasonal dynamics of myocardial infarctions in regions with different types of a climate: a meta-analysis.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2022
    Review
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

11 authors at 8 institutions in 4 countries.

Hamid Sharif NiaDepartment of Nursing, Amol School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran.
Ozkan GorguluDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Ahi Evran University, Kırşehir, Turkey.
Saeed Pahlevan SharifTaylor's Business School, Taylor's University Malaysia, Subang Jaya, Malaysia.
Erika Sivarajan FroelicherDepartment of Physiological Nursing, School of Nursing, University of California San Francisco, San Francisco, California, USA.
Ali Akbar HaghdoostResearch Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Samad GolshaniDepartment of Cardiology, Cardiovascular Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Ameneh YaghoobzadehDepartment of Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
John Henry NobleBoard of Directors Alliance for Human Research Protection (AHRP), New York, NY, USA.
Roghieh NazariDepartment of Nursing, Amol School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran.
Amir Hossein GoudarzianStudent Research Committee, Mazandaran University of Medical Sciences, Sari, Iran.
Farhad ArefiniaAmol School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran.
Mazandaran University of Medical Sciences · IRAhi Evran University · TRIranshahr University · IRKerman University of Medical Sciences · IRTaylor's University · MYTB Alliance · USTehran University of Medical Sciences · IRUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of Acute Myocardial Infarction (AMI) varies from region to region caused by seasonal climate changes and temperature variation. This study aimed to assess the relationship between changing meteorological conditions and incidence of AMI in Iran.

methodsThis retrospective prevalence study was based on medical records of the heart center of Mazandaran Province on all patients diagnosed with AMI in Mazandaran, northern Iran between 2013 and 2015. Patients' sex and the day, month, year and time of hospital admission were extracted from patients' records. Moreover, the meteorological reports were gathered.

resultsA statistically significant difference was found between the distributions of AMI cases across 12 months of the year (

conclusionSignificant increase in AMI was seen in March, April and May (cold to hot weather).

Indexed as

Acute myocardial infarctionMeteorological parametersPrevalenceSeasonal changes

Identifiers

PMID32953680
PMCPMC7475622
OpenAlexW3026220268

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.