Evidence map›Paper›PMID 24231751›Full record

ReviewHuman vaccines & immunotherapeutics2014

Coxsackievirus A16: epidemiology, diagnosis, and vaccine.

Qunying Mao, Yiping Wang, Xin Yao, Lianlian Bian, Xing Wu, Miao Xu, Zhenglun Liang

Open access · bronzeAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

90 citing papers in PubMed, 174 citations in OpenAlex.

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30 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

7 authors at 2 institutions in 1 country.

Qunying MaoNational Institutes for Food and Drug Control; Beijing, PR China.
Yiping WangNational Institutes for Food and Drug Control; Beijing, PR China.
Xin YaoNational Institutes for Food and Drug Control; Beijing, PR China.
Lianlian BianNational Institutes for Food and Drug Control; Beijing, PR China.
Xing WuNational Institutes for Food and Drug Control; Beijing, PR China.
Miao XuNational Institutes for Food and Drug Control; Beijing, PR China.
Zhenglun LiangNational Institutes for Food and Drug Control; Beijing, PR China.
Beijing Administration Institute · CNNational Institutes for Food and Drug Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coxsackievirus 16 (CA16) is one of the major pathogens associated with hand, foot, and mouth disease (HFMD) in infants and young children. In recent years, CA16 and human enterovirus 71 (EV71) have often circulated alternatively or together in the Western Pacific region, which has become an important public health problem in this region. HFMD caused by CA16 infection is generally thought to be mild and self-limiting. However, recently several severe and fatal cases involving CA16 have been reported. Studies have shown that co-infection with CA16 and EV71 can cause serious complications in the central nervous system (CNS) and increase the chance of genetic recombination, which may be responsible for the large HFMD outbreak in Mainland China in 2008. For these reasons, recent studies have focused on the virological characteristics of CA16 and the development of CA16-related diagnostic reagents and vaccines.

Indexed as

ChinaClinical Laboratory TechniquesCoinfectionDiagnostic Tests, RoutineDisease OutbreaksEnterovirusEnterovirus A, HumanHand, Foot and Mouth DiseaseHumansViral VaccinesViral Vaccinesanimal modelCoxsackievirus A16 (CA16)neutralizing antibodyrecombinationvaccine

Identifiers

PMID24231751
PMCPMC4185891
OpenAlexW1997065611

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.