Evidence map›Paper›PMID 26406339›Full record

ArticlePloS one2015

New Epidemiological and Clinical Signatures of 18 Pathogens from Respiratory Tract Infections Based on a 5-Year Study.

Xiaohong Liao, Zhengbo Hu, Wenkuan Liu, Yan Lu, Dehui Chen, Meixin Chen, Shuyan Qiu, Zhiqi Zeng, Xingui Tian, Hong Cui and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Surveillance of upper respiratory infections using a new multiplex PCR assay compared to conventional methods during the influenza season in Taiwan.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2017
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  4. Dynamic changes in the circulation of respiratory pathogens in children during and after the containment of the 2019 coronavirus disease pandemic in Kunming, China.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
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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 at 4 institutions in 1 country.

Xiaohong LiaoState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhengbo HuDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Wenkuan LiuState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Yan LuState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Dehui ChenThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Meixin ChenState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Shuyan QiuState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhiqi ZengState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Xingui TianState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Hong CuiState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Rong ZhouState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, Guangdong, China; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
First Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CNState Key Laboratory of Respiratory Disease · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory tract infections (RTIs) are a heavy burden on society. However, due to the complex etiology of RTIs, the clinical diagnosis, treatment, and prevention of these infections remain challenging, especially in developing countries.

methodsTo determine the epidemiological and clinical characteristics of 18 respiratory pathogens, we analyzed 12,502 patients with acute respiratory infections (ARIs) by performing polymerase chain reaction (PCR) on patient pharyngeal swabs.

resultsSamples positive for at least 1 pathogen were obtained from 48.42% of the total patients. Of these pathogen-positive patients, 17.99% were infected with more than 1 pathogen. Of the 18 pathogens analyzed, four were detected with a positive detection rate (PDR) > 5%: influenza A virus (IAV) > respiratory syncytial virus (RSV) >Mycoplasma pneumoniae (MP) > human coronavirus (HCoV). The pathogens with the 4 highest co-infection rates (CIRs) were as follows: HCoV > human bocavirus (HBoV) > enterovirus (EV) > parainfluenza virus (PIV). The overall positive detection rate (PDR) varied significantly according to patient age, the season and year of detection, and the disease subgroup, but not according to patient sex. The individual PDRs of the pathogens followed 3 types of distributions for patient sex, 4 types of distributions for patient age, 4 types of seasonal distributions, 2 types of seasonal epidemic trends, 4 types of yearly epidemic trends, and different susceptibility distributions in the disease subgroups. Additionally, the overall CIR showed significantly different distributions according to patient sex, patient age, and the disease subgroup, whereas the CIRs of individual pathogens suggested significant preference characteristics.

conclusionIAV remains the most common pathogen among the pathogens analyzed. More effort should be directed toward the prevention and control of pathogens that show a trend of increasing incidence such as HCoV, human adenovirus (ADV), and RSV. Although clinically distinguishing specific pathogens responsible for RTIs is difficult, the epidemiological and clinical characteristics of the various RTI-causing agents could provide clues for clinicians, thereby informing decisions regarding prevention and medication and guiding appropriate public health strategies.

Indexed as

AdolescentAdultBacteriaChildChild, PreschoolChinaFemaleHospitalizationHumansInfantInfant, NewbornMaleMiddle AgedPharynxRespiratory Tract InfectionsSeasons

Identifiers

PMID26406339
PMCPMC4583381
OpenAlexW1771494502

What OpenQuestion holds

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LicenceCC BY
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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.