Evidence map›Paper›PMID 40573366›Full record

ArticleViruses2025

Syndromic Testing in the Pandemic Era and Beyond: Rapid Detection for Respiratory Infections in Istanbul.

Mustafa Onel, Hayriye Kırkoyun Uysal, Arat Hulikyan, Yasemin Ayse Ucar, Gizem Yapar, Aytaj Allahverdiyeva, Serra Zeynep Akkoyunlu, Eray Yurtseven, Mehmet Demirci, Sevim Mese and 1 more

Abstract read
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Mustafa OnelDepartment of Medical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.ORCID 0000-0002-3987-6611
Hayriye Kırkoyun UysalDepartment of Medical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.ORCID 0000-0002-2476-3796
Arat HulikyanDepartment of Medical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.ORCID 0000-0003-0592-7297
Yasemin Ayse UcarDepartment of Medical Microbiology, Faculty of Medicine, Istanbul Beykent University, Istanbul 34520, Turkey.ORCID 0009-0002-1530-2047
Gizem YaparDepartment of Medical Microbiology, Faculty of Medicine, Istanbul Aydın University, Istanbul 34295, Turkey.ORCID 0009-0006-6039-2845
Aytaj AllahverdiyevaDepartment of Medical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.
Serra Zeynep AkkoyunluDepartment of Biostatistics, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.ORCID 0009-0004-4263-237X
Eray YurtsevenDepartment of Biostatistics, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.ORCID 0000-0003-0565-6407
Mehmet DemirciDepartment of Medical Microbiology, Faculty of Medicine, Kırklareli University, Kırklareli 39100, Turkey.ORCID 0000-0001-9670-2426
Sevim MeseDepartment of Medical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.ORCID 0000-0001-5944-0180
Ali AgacfidanDepartment of Medical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to determine the prevalence rates of respiratory pathogens using syndromic tests and also to show which respiratory viruses were detected in suspected cases, especially during and after the pandemic period. A total of 1984 different respiratory tract samples from various departments were included and studied with the QIAstat-Dx device in 2021-2023. The samples were studied with the QIAstat-Dx1 Respiratory SARS-CoV-2 Panel. The kit used was a fully automated, multiplex syndromic test that detected SARS-CoV-2 and 21 other respiratory tract pathogens. As a result of the study, the prevalence of Rhinovirus/Enterovirus (RV/EV) (18.59%), RV/EV-SARS-CoV-2 (42.74%), SARS-CoV-2 (5.04%), and Influenza A Virus (IAV) (5.59%) agents was found to be higher than other agents during the period investigated. Among the 1984 patients examined, 959 (48.33%) had a single viral agent, 156 (7.86%) had double coinfection, 11 (0.55%) had triple coinfection and 1 patient had quadruple coinfection. Nearly half of the patients had a straightforward infection, which helps clinicians in directing specific treatment methods. The study results demonstrate that during the pandemic period, the detection of respiratory pathogens such as SARS-CoV-2 and RV/EV was not only critical for accurate diagnosis but also served as an important indicator of the broader epidemiological trends in respiratory infections. The seasonal distribution showed that while RV/EV was frequently present, its coinfection with SARS-CoV-2 was notably observed only in the first trimester. In light of our findings showing high rates of SARS-CoV-2 and RV/EV detection, along with diverse patterns of coinfection in clinical samples, such comprehensive testing not only assists in rapid diagnosis but also informs public health strategies by reflecting the evolving landscape of respiratory infections in the pandemic and post-pandemic era.

Indexed as

COVID-19Respiratory Tract InfectionsAdolescentAdultAgedChildChild, PreschoolCoinfectionFemaleHumansInfantMaleMiddle AgedPandemicsPrevalenceSARS-CoV-2QIAstat-Dx1 respiratory SARS-CoV-2 panelrespiratory infectionrespiratory virusesSARS-CoV-2

Identifiers

PMID40573366
PMCPMC12197672

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Registered trials

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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.