Evidence map›Paper›PMID 24367364›Full record

ReviewFrontiers in immunology2013

Functional Significance of CD57 Expression on Human NK Cells and Relevance to Disease.

Carolyn M Nielsen, Matthew J White, Martin R Goodier, Eleanor M Riley

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
183citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% 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

183 citing papers in PubMed, 2 syntheses or guidelines pooled it, 274 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Increased Frequency of Dysfunctional Siglec-7Frontiers in immunology · 2021
    Trial
  5. NK Cell Activity and CD57Frontiers in immunology · 2020
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123 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

4 authors at 1 institution in 1 country.

Carolyn M NielsenDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine , London , UK.
Matthew J WhiteDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine , London , UK.
Martin R GoodierDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine , London , UK.
Eleanor M RileyDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine , London , UK.
University of London · GB

Funding

Medical Research Council G0400225Medical Research Council G1000808
6 · The paper itself

Abstract

Historically, human NK cells have been identified as CD3(-)CD56(+)CD16(±) lymphocytes. More recently it has been established that CD57 expression defines functionally discrete sub-populations of NK cells. On T cells, CD57 expression has been regarded as a marker of terminal differentiation and (perhaps wrongly) of anergy and senescence. Similarly, CD57 expression seems to identify the final stages of peripheral NK cell maturation; its expression increases with age and is associated with chronic infections, particularly human cytomegalovirus infection. However, CD57(+) NK cells are highly cytotoxic and their presence seems to be beneficial in a number of non-communicable diseases. The purpose of this article is to review our current understanding of CD57 expression as a marker of NK cell function and disease prognosis, as well as to outline areas for further research.

Indexed as

ageingautoimmune diseasescancerCD57chronic infectionHCMV infectionNK cellsT cells

Identifiers

PMID24367364
PMCPMC3856678
OpenAlexW2110232771

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.