Evidence map›Paper›PMID 27763656›Full record

ReviewImmunology2017

CD4

Laura Rivino, Mei Qiu Lim

Open access · greenAbstract readReview
In one paragraph

Review in Immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
8.8field-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

50 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. rhCNB Improves Cyclophosphamide-Induced Immunodeficiency in BALB/c Mice.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  20. Innate and adaptive immune evasion by dengue virus.Frontiers in cellular and infection microbiology · 2022
    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

2 authors at 1 institution in 1 country.

Laura RivinoEmerging Infectious Disease Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Mei Qiu LimEmerging Infectious Disease Programme, Duke-NUS Medical School, Singapore 169857, Singapore.
Duke-NUS Medical School · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) and Zika virus (ZIKV) are rapidly emerging mosquito-borne flaviviruses that represent a public health concern. Understanding host protective immunity to these viruses is critical for the design of optimal vaccines. Over a decade of research has highlighted a significant contribution of the T-cell response to both protection and/or disease enhancement during DENV infection, the latter being mainly associated with sub-optimal cross-reactive T-cell responses during secondary infections. Phase IIb/III clinical trials of the first licensed tetravalent dengue vaccine highlight increased vaccine efficacy in dengue-immune as opposed to dengue-naive vaccinees, suggesting a possible immunoprotective role of pre-existing DENV-specific T cells that are boosted upon vaccination. No vaccine is available for ZIKV and little is known about the T-cell response to this virus. ZIKV and DENV are closely related viruses with a sequence identity ranging from 44% and 56% for the structural proteins capsid and envelope to 68% for the more conserved non-structural proteins NS3/NS5, which represent the main targets of the CD4

Indexed as

AnimalsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCulicidaeDengueDengue VirusHumansImmunity, CellularZika VirusZika Virus Infectioncell traffickinghumanmemoryT cellsvirus

Identifiers

PMID27763656
PMCPMC5214511
OpenAlexW2538111061

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.