Evidence map›Paper›PMID 32318254›Full record

ArticleInfectious disease reports2020

Influenza species and subtypes circulation among hospitalized patients in Laleh hospital during two influenza seasonal (2016-2017 and 2017-2018) using a multiplex Real Time-Polymerase Chain Reaction.

Iman Rezaee Azhar, Minoo Mohraz, Masoud Mardani, Mohammad Ali Tavakoli, Amin Ehteshami Afshar, Mohammad Zamani, Simin Sadeghpoor, Saeid Safari, Roozbeh Dadashpoor, Mahsa Rezaee and 8 more

Open access · goldAbstract read
In one paragraph

Article in Infectious disease reports, 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 41% 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, 3 citations in OpenAlex.

  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

18 authors at 1 institution in 1 country.

Iman Rezaee AzharGenetic Laboratory and Molecular Diagnosis, Laleh Hospital, Tehran.
Minoo MohrazInfection Control Office, Laleh Hospital, Tehran.
Masoud MardaniInfection Control Office, Laleh Hospital, Tehran.
Mohammad Ali TavakoliInfection Control Office, Laleh Hospital, Tehran.
Amin Ehteshami AfsharInternal Medicine, Gynecology and Surgery Wards Laleh Hospital, Tehran.
Mohammad ZamaniGenetic Laboratory and Molecular Diagnosis, Laleh Hospital, Tehran.
Simin SadeghpoorInfection Control Office, Laleh Hospital, Tehran.
Saeid SafariInfection Control Office, Laleh Hospital, Tehran.
Roozbeh DadashpoorGenetic Laboratory and Molecular Diagnosis, Laleh Hospital, Tehran.
Mahsa RezaeeGenetic Laboratory and Molecular Diagnosis, Laleh Hospital, Tehran.
Fariba ShirvaniResearch Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran.
Shohreh AzimiResearch Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran.
Zahra HeydarifardResearch Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran.
Hamidreza Hagh RanjbarGenetic Laboratory and Molecular Diagnosis, Laleh Hospital, Tehran.
Amir Hossain LotfiInfection Control Office, Laleh Hospital, Tehran.
Farhad MosadeghInfection Control Office, Laleh Hospital, Tehran.
Farhad HashemnejadInfection Control Office, Laleh Hospital, Tehran.
Seyed Mohammad JazayeriResearch Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of polymerase chain reaction (PCR) techniques has improved the detection of respiratory viruses, particularly with the use of multiplex real-time technique with the capability of simultaneous detection of various pathogens in a single reaction. The aim of this study was to apply the above technology for the diagnosis of influenza infections and at the same time to differentiate between common flu species between hospitalized patients in Laleh hospital (Iran) between two flu seasons (2016-2017 and 2017-2018). Different respiratory specimens were collected from 540 patients from a period of December 2016 to May 2018 and were sent to the laboratory for molecular diagnosis. RNAs were extracted and subsequently, a multiplex real time PCR identifying flu A, flu B and typing flu A (H1N1) was carried out. The mean age of patients was 47.54±23.96. 216 (40%) and 321 (60%) of subjects were male and female, respectively. 219 out of 540 (40.5%) were positive for influenza infection including flu A (n=97, 44.3%), flu A (H1N1) (n=45, 20.7%) and flu B (n=77, 35%). Flu A was the dominant species on 2016-2017 and flu B was the major species on 2017-2018. Flu A (H1N1) was comparable in both time periods. Flu infections were most frequently diagnosed in age groups 21-40. Flu-positive patients suffered more from body pain and sore throat than flunegative patients with significant statistical difference (P values <0.001). The mean duration of hospitalization was shorter for flu-positive patients (P value = 0.016). Application of multiplex real time PCR could facilitate the influenza diagnosis in a short period of time, benefiting patients from exclusion of bacterial infections and avoiding unnecessary antibiotic therapy. Influenza diagnosis was not achieved in up to 60% of flu-like respiratory infections, suggesting the potential benefit of adopting the same methodology for assessing the involvement of other viral or/and bacterial pathogens in those patients.

Indexed as

FLU A (H1N1)InfluenzaMultiplex Real Time PCR

Identifiers

PMID32318254
PMCPMC7171471
OpenAlexW3016698717

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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.