Evidence map›Paper›PMID 39669274›Full record

ArticleFrontiers in cellular and infection microbiology2024

Prevalence of respiratory pathogens among hospitalised patients with acute respiratory infection during and after the COVID-19 pandemic in Shijiazhuang, China.

Pan-Pan Zheng, Ya-Nan Zhao, Zhi-Kai Wang, Min-Zhen Wang, Rong Li, Jing Zhang, Nan Li, Zi-Feng Zhang, Rui-Juan Rong, Yi-Chan Sun and 1 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

11 authors.

Pan-Pan Zheng *Hebei Key Laboratory of Basic Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.
Ya-Nan Zhao *Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.
Zhi-Kai WangSchool of Clinical Medicine, Hebei Medical University, Shijiazhuang, Hebei, China.
Min-Zhen WangInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Rong LiHebei Key Laboratory of Basic Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.
Jing ZhangShijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.
Nan LiShijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.
Zi-Feng ZhangShijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.
Rui-Juan RongShijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.
Yi-Chan SunShijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.
Zan-Chao LiuHebei Key Laboratory of Basic Medicine for Diabetes, Shijiazhuang Second Hospital, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic and the resulting non-pharmaceutical interventions (NPIs) have led to changes in the epidemiology of other respiratory pathogens. This study was conducted to explore the epidemiological characteristics of 13 respiratory pathogens, including 11 respiratory viruses and 2 non-classical microorganisms, in hospitalised patients with acute respiratory tract infections (ARTIs) and to compare the prevalence of respiratory pathogens during and after the COVID-19 pandemic. Methods: We conducted a single-centre retrospective study involving 8979 patients with ARTIs in Shijiazhuang City from December 2019 to December 2023. The GeXP analysis platform and multiple reverse transcription-PCR (mRT-PCR) technology were used to simultaneously detect 13 respiratory pathogens. The ARIMA model was constructed to predict the pathogen detection rate in each quarter of Shijiazhuang City in the next 2 y. Results: Among the 8979 patients, 4169 (46.43%) tested positive for respiratory pathogens. The total pathogen detection rate rebounded in the year after the COVID-19 pandemic. After the COVID-19 pandemic, the positive rates in men were slightly higher than those in women and the positive rates in spring and winter were significantly higher than those in summer. The dominant pathogens during the COVID-19 pandemic were Influenza A viru (InfA; 24.08%) and Human Rhinovirus (HRV; 21.77%), and after the COVID-19 pandemic were InfA (27.92%) and H3 (21.17%). During the COVID-19 pandemic, InfA and HRV frequently occurred in all age groups. After the COVID-19 pandemic, InfA and Seasonal Influenza virus H3N2 (H3) frequently occurred in all age groups. Conclusions: A series of NPIs introduced by the Chinese government during the COVID-19 pandemic had a significant impact on acute upper respiratory pathogenic infections. After the withdrawal of the NPIs, the spectrum of respiratory pathogens changed.

Indexed as

COVID-19HospitalizationRespiratory Tract InfectionsSARS-CoV-2AdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleARTIs/ILICOVID-19epidemiologynon-classical microorganismsrespiratory pathogens

Identifiers

PMID39669274
PMCPMC11635993

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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.