Evidence map›Paper›PMID 30669993›Full record

ArticleBMC immunology2019

Monoclonal antibody against EV71 3D

Yaoming Li, Jie Yu, Xiuwen Qi, Huimin Yan

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Advances in anti-EV-A71 drug development research.Journal of advanced research · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Antivirals and vaccines for Enterovirus A71.Journal of biomedical science · 2019
    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

4 authors at 3 institutions in 1 country.

Yaoming LiMucosal Immunity Research Group, State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, People's Republic of China. liym@whsw.edu.cn.
Jie YuMucosal Immunity Research Group, State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, People's Republic of China.
Xiuwen QiMucosal Immunity Research Group, State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, People's Republic of China.
Huimin YanMucosal Immunity Research Group, State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, People's Republic of China. hmyan@wh.iov.cn.
University of Chinese Academy of Sciences · CNChinese Academy of Sciences · CNWuhan Institute of Virology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnterovirus A 71 (EV71) is a neurotropic virus that may lead to acute flaccid paralysis, encephalitis, cardiopulmonary failure or even death. No vaccine and defensive drug controlling EV71 is currently available, novel and efficient antiviral drug or vaccine is therefore urgently needed. 3D

methodsA panel of monoclonal IgG antibodies (mAbs) against EV71 3D

resultsTwo mAbs towards EV71 3D

conclusionsThese results showed that two of mAbs against EV71 3D

Indexed as

AnimalsAntibodies, MonoclonalAntibody SpecificityAntiviral AgentsBinding SitesDisease Models, AnimalEnterovirus A, HumanEnterovirus InfectionsHumansImmunoglobulin GMiceProtein BindingRNA-Dependent RNA PolymeraseVirus ReplicationAntibodies, MonoclonalAntiviral AgentsImmunoglobulin GRNA-Dependent RNA PolymeraseAntiviralEnterovirus a 71Monoclonal antibodyRdRp

Identifiers

PMID30669993
PMCPMC6343263
OpenAlexW2911687007

What OpenQuestion holds

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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.