Evidence map›Paper›PMID 20180797›Full record

ReviewBritish journal of haematology2010

Update on the hyper immunoglobulin M syndromes.

E Graham Davies, Adrian J Thrasher

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of haematology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
4.6field-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

62 citing papers in PubMed, 186 citations in OpenAlex.

  1. Article
  2. Hyperimmunoglobulin syndromes: A review of HIGM, HIES, and HIDS.Journal of translational autoimmunity · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Immune Response inJournal of fungi (Basel, Switzerland) · 2021
    Review
  15. Review
  16. Article
  17. Tandem Substitutions in Somatic Hypermutation.Frontiers in immunology · 2021
    Article
  18. Article
  19. Article
  20. Review

2 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

2 authors at 1 institution in 1 country.

E Graham DaviesCentre for Immunodeficiency, Institute of Child Health, London, UK. davieg1@gosh.nhs.uk
Adrian J Thrasher
Institute of Child Health · IN

Funding

Wellcome Trust 090233
6 · The paper itself

Abstract

The Hyper-immunoglobulin M syndromes (HIGM) are a heterogeneous group of genetic disorders resulting in defects of immunoglobulin class switch recombination (CSR), with or without defects of somatic hypermutation (SHM). They can be classified as defects of signalling through CD40 causing both a humoral immunodeficiency and a susceptibility to opportunistic infections, or intrinsic defects in B cells of the mechanism of CSR resulting in a pure humoral immunodeficiency. A HIGM picture can also be seen as part of generalized defects of DNA repair and in antibody deficiency syndromes, such as common variable immunodeficiency. CD40 signalling defects may require corrective therapy with bone marrow transplantation. Gene therapy, a potential curative approach in the future, currently remains a distant prospect. Those with a defective CSR mechanism generally do well on immunoglobulin replacement therapy. Complications may include autoimmunity, lymphoid hyperplasia and, in some cases, a predisposition to lymphoid malignancy.

Indexed as

B-LymphocytesCD40 AntigensCD40 LigandCell DifferentiationDNA RepairEctodermal DysplasiaHumansHyper-IgM Immunodeficiency SyndromeImmunoglobulin Class SwitchingSomatic Hypermutation, ImmunoglobulinCD40 AntigensCD40 Ligand

Identifiers

PMID20180797
PMCPMC2855828
OpenAlexW2073476128

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.