Evidence map›Paper›PMID 36617261›Full record

ReviewClinical and experimental immunology2022

Human B-cell subset identification and changes in inflammatory diseases.

Rebekah L Velounias, Thomas J Tull

Erratum issuedOpen access · bronzeAbstract readReview
In one paragraph

Review in Clinical and experimental immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
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  10. The prealbumin-CD19BMC cancer · 2025
    Article
  11. AnbioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Rebekah L VelouniasDepartment of Immunobiology, King's College London, Guy's Hospital Campus, London, UK.
Thomas J TullSt John's Institute of Dermatology, King's College London, Guy's Hospital Campus, London, UK.ORCID 0000-0002-8329-8601
Guy's Hospital · GB

Funding

Medical Research Council MR/R000964/1
6 · The paper itself

Abstract

Our understanding of the B-cell subsets found in human blood and their functional significance has advanced greatly in the past decade. This has been aided by the evolution of high dimensional phenotypic tools such as mass cytometry and single-cell RNA sequencing which have revealed heterogeneity in populations that were previously considered homogenous. Despite this, there is still uncertainty and variation between studies as to how B-cell subsets are identified and named. This review will focus on the most commonly encountered subsets of B cells in human blood and will describe gating strategies for their identification by flow and mass cytometry. Important changes to population frequencies and function in common inflammatory and autoimmune diseases will also be described.

Indexed as

Autoimmune DiseasesB-Lymphocyte SubsetsLupus Erythematosus, SystemicB-LymphocytesFlow CytometryHumansautoimmunityB cellimmune checkpointssystemic lupus erythematosus

Identifiers

PMID36617261
PMCPMC9985170
OpenAlexW4313729343

What Socratic 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 Socratic graph.