Evidence map›Paper›PMID 38053876›Full record

ArticleHeliyon2023

Epidemiology of respiratory pathogens in patients with acute respiratory tract infection in Xiamen, China: A retrospective survey from 2020 to 2022.

Shan Hong, Dan Li, Yanli Wei, Yilin Zheng, Jiading Cai, Heping Zheng, Xuan Zhang, Yulin Deng, Dandan Han, Jia Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

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  15. Respiratory pathogenic microbial infections: a narrative review.International journal of medical sciences · 2024
    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

15 authors at 2 institutions in 1 country.

Shan HongDepartment of Pediatrics, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Dan LiKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co., Ltd., Hangzhou, Zhejiang, China.
Yanli WeiDepartment of General Practice, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Yilin ZhengDepartment of Pediatrics, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Jiading CaiDepartment of General Practice, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Heping ZhengDepartment of Intensive Care Unit, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Xuan ZhangKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co., Ltd., Hangzhou, Zhejiang, China.
Yulin DengDepartment of Pediatrics, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Dandan HanDepartment of Pediatrics, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Jia WangDepartment of Pediatrics, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Linlin ChenDepartment of Pediatrics, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Shujing LiDepartment of Pediatrics, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Weiping QiuDepartment of General Practice, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Min RenDepartment of Pediatrics, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
Liangneng ZouDepartment of General Practice, The Fifth Hospital of Xiamen, Xiamen, Fujian, China.
First Affiliated Hospital of Xiamen University · CNDian Diagnostics (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute respiratory tract infections (ARTI) are caused by respiratory pathogens and range from asymptomatic infections to severe respiratory diseases. These diseases can be life threatening with high morbidity and mortality worldwide. Under the pandemic of coronavirus disease 2019 (COVID-19), little has been reported about the pathogen etiologies and epidemiology of patients suffering from ARTI of all age in Xiamen. Region-specific surveillance in individuals with ARTI of all ages was performed in Xiamen from January 2020 to October 2022. Here, we observed the epidemiological characteristics of thirteen pathogens within ARTI patients and further revealed the difference of that between upper respiratory tract infections (URTI) and lower respiratory tract infections (LRTI). In total 56.36 % (2358/4184) of the ARTI patients were positive for at least one respiratory pathogen. Rhinovirus (RVs, 29.22 %), influenza A (FluA, 19.59 %), respiratory syncytial virus (RSV, 18.36 %), metapneumovirus (MPV, 13.91 %), and adenovirus (ADV, 10.31 %) were the five leading respiratory pathogens. Respiratory pathogens displayed age- and season-specific patterns, even between URTI and LRTI. Compared with other groups, a higher proportion of FluA (52.17 % and 68.75 %, respectively) infection was found in the adult group and the elder group, while the lower proportion of RVs (14.11 % and 11.11 %) infection was also observed in them. Although ARTI cases circulated throughout the year, RVs, FluB, and BoV peaked in autumn, and FluA circulated more in summer. Besides, the co-infectious rate was 8.7 % with the most common for RVs. Logistic regression analyses revealed the correlations between respiratory pathogens and disease types. These results are essential for replenishing epidemiological characteristics of common respiratory pathogens that caused ARTI in Xiamen during the epidemic of COVID-19, and a better understanding of it might optimize the local prevention and clinical control.

Indexed as

Acute respiratory tract infectionsAge-specific patternCo-infectious rateLower inspiratory tract infectionsSeason-specific patternUpper respiratory tract infections

Identifiers

PMID38053876
PMCPMC10694312
OpenAlexW4388568543

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.