Evidence map›Paper›PMID 24161037›Full record

ReviewSeminars in nephrology2013

Atypical hemolytic uremic syndrome.

David Kavanagh, Tim H Goodship, Anna Richards

Abstract readReview
In one paragraph

Review in Seminars in nephrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

179 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Updates in atypical hemolytic syndrome.Current opinion in pediatrics · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. All-Cause and Exacerbation-Related Readmissions in Thrombotic Microangiopathy Requiring Plasmapheresis: A Population-Based Cohort StudyTurkish journal of haematology : official journal of Turkish Society of Haematology · 2025
    Article
  15. Observational
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

119 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

3 authors.

David KavanaghThe Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK. Electronic address: david.kavanagh@ncl.ac.uk.
Tim H Goodship
Anna Richards

Funding

Wellcome Trust
6 · The paper itself

Abstract

Hemolytic uremic syndrome (HUS) is a triad of microangiopathic hemolytic anemia, thrombocytopenia, and acute renal failure. The atypical form of HUS is a disease characterized by complement overactivation. Inherited defects in complement genes and acquired autoantibodies against complement regulatory proteins have been described. Incomplete penetrance of mutations in all predisposing genes is reported, suggesting that a precipitating event or trigger is required to unmask the complement regulatory deficiency. The underlying genetic defect predicts the prognosis both in native kidneys and after renal transplantation. The successful trials of the complement inhibitor eculizumab in the treatment of atypical HUS will revolutionize disease management.

Indexed as

Hemolytic-Uremic SyndromeAntibodies, Monoclonal, HumanizedAtypical Hemolytic Uremic SyndromeAutoantibodiesComplement ActivationComplement Factor HComplement System ProteinsHumansKidney TransplantationPrecipitating FactorsAntibodies, Monoclonal, HumanizedAutoantibodiesComplement Factor HComplement System ProteinseculizumabComplementeculizumabfactor Hfactor Ihemolytic uremic syndromemembrane cofactor proteinthrombomodulintransplantation

Identifiers

PMID24161037
PMCPMC3863953

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.