Evidence map›Paper›PMID 37001538›Full record

ArticleThe Lancet. Microbe2023

Infection and co-infection patterns of community-acquired pneumonia in patients of different ages in China from 2009 to 2020: a national surveillance study.

Yan-Ning Liu, Yun-Fa Zhang, Qiang Xu, Yan Qiu, Qing-Bin Lu, Tao Wang, Xiao-Ai Zhang, Sheng-Hong Lin, Chen-Long Lv, Bao-Gui Jiang and 9 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Microbe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed, 2 pooled it
50.0field-weighted citation impact, top 1% 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

199 citing papers in PubMed, 2 syntheses or guidelines pooled it, 233 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

139 more citing papers are in PubMed but not listed here.

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

19 authors at 3 institutions in 1 country.

Yan-Ning LiuState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Yun-Fa ZhangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Qiang XuState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Yan QiuBeijing Haidian District Center for Disease Control and Prevention, Beijing, China.
Qing-Bin LuDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Tao WangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Xiao-Ai ZhangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Sheng-Hong LinDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Beijing, China.
Chen-Long LvState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Bao-Gui JiangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Hao LiState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Zhong-Jie LiDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Beijing, China.
George F GaoChinese Center for Disease Control and Prevention, Beijing, China.
Wei-Zhong YangChinese Center for Disease Control and Prevention, Beijing, China.
Simon I HayDepartment of Health Metrics Sciences, School of Medicine, University of Washington Seattle, WA, USA; Institute for Health Metrics and Evaluation, University of Washington Seattle, WA, USA.
Li-Ping WangDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Beijing, China.
Li-Qun FangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China. Electronic address: fanglq@bmi.ac.cn.
Wei LiuState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China. Electronic address: liuwei@bmi.ac.cn.
Chinese Center for Disease Control and Prevention Etiology Surveillance Study Team of Acute Respiratory Infections
Institute of Microbiology · CNChinese Center For Disease Control and Prevention · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere community-acquired pneumonia (SCAP) is associated with a substantial number of hospitalisations and deaths worldwide. Infection or co-infection patterns, along with their age dependence and clinical effects are poorly understood. We aimed to explore the causal and epidemiological characteristics by age, to better describe patterns of community-acquired pneumonia (CAP) and their association with severe disease.

methodsNational surveillance of CAP was conducted through a network of hospitals in 30 provinces in China from 2009-20 inclusive. Patients with CAP were included if they had evidence of acute respiratory tract, had evidence of pneumonia by chest radiography, diagnosis of pneumonia within 24 h of hospital admission, and resided in the study catchment area. For the enrolled patients with CAP, nasopharyngeal and oral swabs were taken and tested for eight viral pathogens; and blood, urine, or expectorated sputum was tested for six bacterial pathogens. Clinical outcomes, including SCAP, were investigated with respect to age and patterns of infections or co-infections by performing binary logistic regression and multivariate analysis.

findingsBetween January, 2009, and December, 2020, 18 807 patients with CAP (3771 [20·05%] with SCAP) were enrolled. For both children (aged ≤5 years) and older adults (aged >60 years), a higher overall rate of viral and bacterial infections, as well as viral-bacterial co-infections were seen in patients with SCAP than in patients with non-SCAP. For adults (aged 18-60 years), however, only a higher rate of bacterial-bacterial co-infection was observed. The most frequent pathogens associated with SCAP were respiratory syncytial virus (RSV; 21·30%) and Streptococcus pneumoniae (12·61%) among children, and influenza virus (10·94%) and Pseudomonas aeruginosa (15·37%) among older adults. Positive rates of detection of most of the tested pathogens decreased during 2020 compared with the 2009-19 period, except for RSV, P aeruginosa, and Klebsiella pneumoniae. Multivariate analyses showed SCAP was significantly associated with infection with human adenovirus, human rhinovirus, K pneumoniae, or co-infection of RSV and Haemophilus influenzae or RSV and Staphylococcus aureus in children and adolescents (aged <18 years), and significantly associated with infection with P aeruginosa, K pneumoniae, or S pneumoniae, or co-infection with P aeruginosa and K pneumoniae in adults (aged ≥18 years).

interpretationBoth prevalence and infection pattern of respiratory pathogens differed between patients with SCAP and patients with non-SCAP in an age-dependent manner. These findings suggest potential advantages to age-related strategies for vaccine schedules, as well as clinical diagnosis, treatment, and therapy.

fundingChina Mega-Project on Infectious Disease Prevention and The National Natural Science Funds of China. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

Indexed as

CoinfectionCommunity-Acquired InfectionsPneumoniaRespiratory Syncytial Virus, HumanVirus DiseasesAdolescentAdultAgedChildHumansKlebsiella pneumoniaeStreptococcus pneumoniae

Identifiers

PMID37001538
PMCPMC12514336
OpenAlexW4361212691

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.