Evidence map›Paper›PMID 32391016›Full record

ArticleFrontiers in immunology2020

Characterization of the Impact of Daclizumab Beta on Circulating Natural Killer Cells by Mass Cytometry.

Thanmayi Ranganath, Laura J Simpson, Anne-Maud Ferreira, Christof Seiler, Elena Vendrame, Nancy Zhao, Jason D Fontenot, Susan Holmes, Catherine A Blish

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. 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
1.1field-weighted citation impact, top 24% 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, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. CD56Discovery immunology · 2023
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Profiling of the Human Natural Killer Cell Receptor-Ligand Repertoire.Journal of visualized experiments : JoVE · 2020
    Article
  10. Article
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

9 authors at 3 institutions in 1 country.

Thanmayi RanganathDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Laura J SimpsonDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Anne-Maud FerreiraDepartment of Statistics, Stanford University, Stanford, CA, United States.
Christof SeilerDepartment of Statistics, Stanford University, Stanford, CA, United States.
Elena VendrameDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Nancy ZhaoDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Jason D FontenotBiogen, Cambridge, MA, United States.
Susan HolmesDepartment of Statistics, Stanford University, Stanford, CA, United States.
Catherine A BlishDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Stanford University · USBiogen (United States) · USChan Zuckerberg Initiative (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Daclizumab beta is a humanized monoclonal antibody that binds to CD25 and selectively inhibits high-affinity IL-2 receptor signaling. As a former treatment for relapsing forms of multiple sclerosis (RMS), daclizumab beta induces robust expansion of the CD56

Indexed as

AdultAgedAged, 80 and overCD4-Positive T-LymphocytesCD56 AntigenCohort StudiesDaclizumabFemaleHumansImmunosuppressive AgentsKiller Cells, NaturalMaleMass SpectrometryMiddle AgedMultiple SclerosisReceptors, Natural Killer CellCD56 AntigenDaclizumabImmunosuppressive AgentsNCAM1 protein, humanReceptors, Natural Killer CellclusteringCyTOF/mass cytometryCytoGLMMdaclizumab betaimmune profilingmultiple sclerosisnatural killer celluniform manifold approximation and projection

Identifiers

PMID32391016
PMCPMC7194113
OpenAlexW3013059344

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.