Evidence map›Paper›PMID 32487256›Full record

ArticleInfectious diseases of poverty2020

Human rabies in China: evidence-based suggestions for improved case detection and data gathering.

Hao Li, Jia-Jia Liu, Shu-Jun Ding, Liang Cai, Yun Feng, Peng-Cheng Yu, Shu-Qing Liu, Xue-Xin Lu, Xiao-Yan Tao, Wu-Yang Zhu

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2020. 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
0.1field-weighted citation impact, top 54% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  5. Comprehensive Review on Viral RNA Extraction Strategies for Enhanced Molecular Diagnostics.Interdisciplinary perspectives on infectious diseases · 2025
    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

10 authors at 5 institutions in 1 country.

Hao LiChinese Center for Disease Control and Prevention, Beijing, China.
Jia-Jia LiuNational Health Commission of the People's Republic of China, Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
Shu-Jun DingShandong Center for Disease Control and Prevention, Jinan, Shandong, China.
Liang CaiHunan Center for Disease Control and Prevention, Changsha, Hunan, China.
Yun FengYunnan Institute of Endemic Diseases Control and Prevention, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali, China.
Peng-Cheng YuNational Health Commission of the People's Republic of China, Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
Shu-Qing LiuNational Health Commission of the People's Republic of China, Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
Xue-Xin LuNational Health Commission of the People's Republic of China, Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
Xiao-Yan TaoNational Health Commission of the People's Republic of China, Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China. txy212@126.com.ORCID http://orcid.org/0000-0003-0535-1654
Wu-Yang ZhuNational Health Commission of the People's Republic of China, Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
National Institute for Viral Disease Control and Prevention · CNChinese Center For Disease Control and Prevention · CNHunan Provincial Center for Disease Control and Prevention · CNShandong Center for Disease Control and Prevention · CNYunnan Institute of Endemic Diseases Control and Prevention · CN

Funding

National Major Science and Technology Projects of China 2017ZX10104001
6 · The paper itself

Abstract

backgroundChina still suffers heavily from rabies, although reported human cases continue to decrease year over year. There are far fewer laboratory-confirmed human cases than clinically diagnosed cases, which is a big problem that needs to be addressed. In this report, we summarize analyses of all specimens from human cases tested in our laboratory over the past 15 years, in order to promote laboratory diagnosis of rabies.

methodsFrom 2005 to 2019, a total of 271 samples from 164 suspected rabies cases were collected from local hospitals by the local Centers for Disease Control and Prevention (CDCs) in China. Saliva, cerebrospinal fluid (CSF), serum (blood) and urine were collected for ante-mortem diagnosis, and brain tissue, neck skin tissue and cornea were collected for post-mortem diagnosis. All of the specimens were tested by reverse transcription-polymerase chain reaction (RT-PCR), and brain tissues were also tested using fluorescent antibody test (FAT). The number of positive test results obtained using different fluids or tissues, and at different stages of the disease, were compared using a chi-square test and a more effective sampling program is recommended.

resultsAs the national reference laboratory for rabies surveillance in China, our laboratory has tested 271 samples from 164 suspected rabies cases collected by local CDCs since 2005. We found that saliva gave the highest number of positive test results (32%), compared with CSF and other fluids. We also found that serum or blood specimens collected in the last 3 days of life can test positive by RT-PCR.

conclusionsSerum or blood samples collected in the last 3 days of a patient's life can be used to measure viral RNA, which means that serum samples, as well as saliva and CSF, can be used to detect viral RNA for anti-mortem diagnosis of rabies. Because of our findings, we have modified our "National Surveillance Project for Human Rabies", by adding the collection and testing of serum samples from the end of the survival period. This will improve our national surveillance and laboratory diagnosis of human rabies.

Indexed as

ChinaHumansRabiesRabies virusSpecimen HandlingDetectionDiagnosisHuman caseRabiesSpecimen

Identifiers

PMID32487256
PMCPMC7266119
OpenAlexW3029708576

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.