Evidence map›Paper›PMID 27690734›Full record

ArticlePrion2016

Quality evaluation for the surveillance system of human prion diseases in China based on the data from 2010 to 2016.

Qi Shi, Wei Zhou, Cao Chen, Chen Gao, Kang Xiao, Jing Wang, Bao-Yun Zhang, Yuan Wang, Feng Zhang, Xiao-Ping Dong

Open access · goldAbstract readHistorical Article
In one paragraph

Article in Prion, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 21% 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, 13 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Qi Shia State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Wei Zhoua State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Cao Chena State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Chen Gaoa State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Kang Xiaoa State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Jing Wanga State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Bao-Yun Zhanga State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Yuan Wanga State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Feng Zhanga State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Xiao-Ping Donga State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.
Zhejiang University · CNNational Institute for Viral Disease Control and Prevention · CNInstitute of Microbiology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The surveillance of CJD or human prion diseases (PrDs) has been conducted for 10 y in China. To evaluate the quality of China CJD surveillance system, the collections of the clinical and epidemiological information, the sampling, the clinical examinations and laboratory tests and follow-up survey were separately analyzed based on the data from 2010 to 2015. The obtaining rates of clinical-information table, epidemiological-information table, sample inspection sheet and medical record of the referring patients from reporting units to the center of CJD surveillance maintained or reached at very high levels, being close to 100% in the past 3 y. 93.82%, 85.23%, 96.21% and 94.70% of the reported cases had the data of MRI, EEG, CSF 14-3-3 and PRNP sequencing, respectively. Follow-up surveys were conducted in about 50% cases in 2010 and 2011, 93.39% cases in 2012 and 100% cases in the last 3 y. High obtaining rates of the clinical and epidemiological data, high conducting rates of the relevant clinical examinations and laboratory tests, high performing rates of follow-up survey for every referring case reflect a good implemental capacity in China CJD surveillance system, which supplies solid basis for recognition and diagnosis of human prion diseases and guarantees good quality of China CJD surveillance system.

Indexed as

Population SurveillanceChinaElectroencephalographyHistory, 21st CenturyHumansMagnetic Resonance ImagingPrion DiseasesPrion ProteinsQuality ControlPrion ProteinsPRNP protein, humanCreutzfeldt-Jakob diseaseevaluationhuman prion diseasesqualitysurveillance

Identifiers

PMID27690734
PMCPMC5161297
OpenAlexW2528628235

What OpenQuestion holds

Textmetadata
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.