Evidence map›Paper›PMID 25360596›Full record

ArticlePloS one2014

Bacterial etiologies of five core syndromes: laboratory-based syndromic surveillance conducted in Guangxi, China.

Baiqing Dong, Dabin Liang, Mei Lin, Mingliu Wang, Jun Zeng, Hezhuang Liao, Lingyun Zhou, Jun Huang, Xiaolin Wei, Guanyang Zou and 1 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Baiqing DongDepartment of Emergency Response, Guagnxi Zhuang Autonomous Region Health Bureau, Nanning, Guangxi, China.
Dabin LiangDivsion of Bacterial Infectious Disease Control, Guagnxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, Guangxi, China.
Mei LinDivsion of Bacterial Infectious Disease Control, Guagnxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, Guangxi, China.
Mingliu WangDivsion of Bacterial Infectious Disease Control, Guagnxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, Guangxi, China.
Jun ZengDivsion of Bacterial Infectious Disease Control, Guagnxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, Guangxi, China.
Hezhuang LiaoDivsion of Bacterial Infectious Disease Control, Guagnxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, Guangxi, China.
Lingyun ZhouDivsion of Bacterial Infectious Disease Control, Guagnxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, Guangxi, China.
Jun HuangDivsion of Bacterial Infectious Disease Control, Guagnxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, Guangxi, China.
Xiaolin WeiSchool of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Guanyang ZouCOMDIS Health Services Delivery Research Consortium, China Program, Nuffield Centre for International Health and Development, University of Leeds, Shenzhen, China.
Huaiqi JingNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China and State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnder the existing national surveillance system in China for selected infectious diseases, bacterial cultures are performed for only a small percentage of reported cases. We set up a laboratory-based syndromic surveillance system to elucidate bacterial etiologic spectrum and detect infection by rare etiologies (or serogroups) for five core syndromes in the given study area.

methodsPatients presenting with one of five core syndromes at nine sentinel hospitals in Guagnxi, China were evaluated using laboratory-based syndrome surveillance to elucidate bacterial etiologies. We collected respiratory and stool specimens, as well as CSF, blood and other related samples for bacterial cultures and pulse field gel electrophoresis (PFGE) assays.

resultsFrom February 2009 to December 2011, 2,964 patients were enrolled in the study. Etiologies were identified in 320 (10.08%) patients. Streptococcus pneumonia (37 strains, 24.18%), Klebsiella pneumonia (34, 22.22%), Pseudomonas aeruginosa (19, 12.42%) and Haemophilus influenza (18, 11.76%) were the most frequent pathogens for fever and respiratory syndrome, while Salmonella (77, 81.05%) was most often seen in diarrhea syndrome cases. Salmonella paratyphi A (38, 86.36%) occurred in fever and rash syndrome, with Cryptococcus neoformans (20, 35.09%), Streptococcus pneumonia (5, 8.77%), Klebsiella pneumonia (5, 8.77%),streptococcus suis (3, 5.26%) and Neisseria meningitides group B (2, 3.51%) being the most frequently detected in encephalitis-meningitis syndrome. To date no pathogen was isolated from the specimens from fever and hemorrhage patients.

conclusionsIn addition to common bacterial pathogens, opportunistic pathogens and fungal infections require more attention. Our study contributes to the strengthening of the existing national surveillance system and provides references for other regions that are similar to the study area.

Indexed as

Epidemiological MonitoringLaboratoriesAdolescentAdultAgedAged, 80 and overBacteriaBacterial InfectionsChildChild, PreschoolChinaCulture TechniquesFemaleHumansInfantInfant, Newborn

Identifiers

PMID25360596
PMCPMC4215986

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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.