Evidence map›Paper›PMID 35548172›Full record

ArticleOpen forum infectious diseases2021

Incidence, Etiology, and Environmental Risk Factors of Community-Acquired Pneumonia Requiring Hospitalization in China: A 3-Year, Prospective, Age-Stratified, Multicenter Case-Control Study.

Tian Qin, Haijian Zhou, Hongyu Ren, Jiantong Meng, Yinju Du, Mahemut Mahemut, Peng Wang, Nana Luo, Fei Tian, Ming Li and 20 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  5. Article
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  8. Observational
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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

30 authors at 11 institutions in 1 country.

Tian QinState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Haijian ZhouState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hongyu RenState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiantong MengCenter for Disease Control and Prevention of Chengdu City, Chengdu, China.
Yinju DuCenter for Disease Control and Prevention of Liaocheng City, Liaocheng, China.
Mahemut MahemutCenter for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, China.
Peng WangYunnan Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali, China.
Nana LuoState Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Fei TianDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Ming LiCenter for Disease Control and Prevention of Chengdu City, Chengdu, China.
Pu ZhouCenter for Disease Control and Prevention of Liaocheng City, Liaocheng, China.
Fang LiCenter for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, China.
Pengyuan DuanYunnan Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali, China.
Yinan LiState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Na ZhaoState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qiwu YuanCenter for Disease Control and Prevention of Chengdu City, Chengdu, China.
Jinzhong ZhangCenter for Disease Control and Prevention of Liaocheng City, Liaocheng, China.
Lihong ChengCenter for Disease Control and Prevention of Liaocheng City, Liaocheng, China.
Longze LuoSichuan Center for Disease Control and Prevention, Chengdu, China.
Ming FangShandong Center for Disease Control and Prevention, Jinan, China.
Xin HuangChengdu Fifth People's Hospital, Chengdu, China.
Changguo GuChengdu Fifth People's Hospital, Chengdu, China.
Huifang ZhouFirst People's Hospital of Kashi, Kashgar, China.
Min YangRespiratory Department, The First People's Hospital of Dali City, Dali, China.
Shan LuState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiangkun JiangCenter for Disease Control and Prevention of Liaocheng City, Liaocheng, China.
Hualiang LinDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-3643-9408
Huaiyu TianState Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Biao KanState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianguo XuState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
National Institute for Communicable Disease Control and Prevention · CNLiaocheng People's Hospital · CNChengdu Center for Disease Control and Prevention · CNBeijing Normal University · CNChengdu Fifth People's Hospital · CNSun Yat-sen University · CNXinjiang Uygur Autonomous Region Disease Prevention and Control Center · CNYunnan Institute of Endemic Diseases Control and Prevention · CNDalian Jinzhou First People's Hospital · CNShandong Center for Disease Control and Prevention · CNSichuan Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community-acquired pneumonia (CAP) is a leading infectious cause of hospitalization and death worldwide. Knowledge about the incidence and etiology of CAP in China is fragmented. Methods: A multicenter study performed at 4 hospitals in 4 regions in China and clinical samples from CAP patients were collected and used for pathogen identification from July 2016 to June 2019. Results: A total of 1674 patients were enrolled and the average annual incidence of hospitalized CAP was 18.7 (95% confidence interval, 18.5-19.0) cases per 10000 people. The most common viral and bacterial agents found in patients were respiratory syncytial virus (19.2%) and Conclusions: The hospitalized CAP incidence in China was higher than previously known. CAP etiology showed that differences in age, seasons, regions, and respiratory viruses were detected at a higher rate than bacterial infection overall. Air pollutants and temperature have an influence on the detection of pathogens.

Indexed as

bacterial pneumoniacommunity-acquired pneumoniaenvironmental factoretiologyrespiratory tract infectionviral pneumonia

Identifiers

PMID35548172
PMCPMC8522381
OpenAlexW3206527866

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.