Evidence map›Paper›PMID 26221512›Full record

ArticleCaspian journal of internal medicine2015

Prevalence of influenza A/H3N2 virus in northern Iran from 2011 to 2013.

Mohammadreza Haghshenas, Elham Jafarian, Farhang Babamahmoodi, Ahmad Tabrizi, Sharbano Nandoost, Reza Alizadeh-Navaei

Abstract read
In one paragraph

Article in Caspian journal of internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

6 authors.

Mohammadreza HaghshenasMolecular and Cell Biology Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Elham JafarianStudent Research Committee, Mazandaran University of Medical Sciences, Sari, Iran.
Farhang BabamahmoodiAntimicrobial Resistance Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Ahmad TabriziMolecular and Cell Biology Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Sharbano NandoostMolecular and Cell Biology Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Reza Alizadeh-NavaeiMolecular and Cell Biology Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza A virus is the most virulent human pathogen and causes the most serious problem. Having epidemiological knowledge about this disease is important. The aim of this study was to determine the prevalence of influenza A/H3N2 virus infection in northern Iran from 2011 to 2013 using the real-time polymerase chain reaction (RT-PCR).

methodsIn this cross-sectional study 57 samples were collected from patients with influenza-like illness (T≥ 38 °C and cough or sore throat. Influenza-RNA was extracted from the samples using PureLink(TM) Viral RNA/DNA Kit. RT-PCR was one using SuperScript III Platinum, Quantitive Real Time PCR system from invitrogen with a specific type of primers and probs. All samples were examined in the Influenza laboratory of Mazandaran University of Medical Sciences.

resultsThe mean age of patients was 38.2±14.5 year, 278 (48.69%) were males and 293 (51.31%) females. A total number of 201 patients (35.2%) were diagnosed as influenza A1 H3 N2 infection.

conclusionThe results show that the prevalence of A/H3N2 in the North of Iran is considerable and needs more attention for preventive measures.

Indexed as

Influenza AInfluenza A/H3N2Season fluSwine flu

Identifiers

PMID26221512
PMCPMC4478463

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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.