Evidence map›Paper›PMID 27264038›Full record

Trial reportThe Lancet. Haematology2016

Red-blood-cell alloimmunisation in relation to antigens' exposure and their immunogenicity: a cohort study.

Dorothea Evers, Rutger A Middelburg, Masja de Haas, Saurabh Zalpuri, Karen M K de Vooght, Daan van de Kerkhof, Otto Visser, Nathalie C Péquériaux, Francisca Hudig, Henk Schonewille and 2 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in The Lancet. Haematology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 110 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Research progress in RBC alloimmunization.Frontiers in immunology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Evaluation of post-transfusion RBC alloimmunization in dogs using a gel-column crossmatch with and without anti-canine globulin enhancement.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  10. Article
  11. Defining Current Patterns of Blood Product Use during Intensive Induction Chemotherapy in Newly Diagnosed Acute Myeloid Leukemia Patients.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Article
  12. Study of the Frequency and Specificity of Red Cell Antibodies in Patients with Hemoglobinopathies.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2023
    Article
  13. When the available blood supply mismatches the needs of the patient.Blood transfusion = Trasfusione del sangue · 2023
    Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Laboratory Monitoring of Mother, Fetus, and Newborn in Hemolytic Disease of Fetus and Newborn.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 1 country.

Dorothea EversCenter for Clinical Transfusion Research, Sanquin Research, Leiden, Netherlands; Department of Immunohaematology and Blood Transfusion, Leiden University Medical Centre, Leiden, Netherlands.
Rutger A MiddelburgCenter for Clinical Transfusion Research, Sanquin Research, Leiden, Netherlands; Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, Netherlands.
Masja de HaasCenter for Clinical Transfusion Research, Sanquin Research, Leiden, Netherlands; Department of Immunohaematology and Blood Transfusion, Leiden University Medical Centre, Leiden, Netherlands; Department of Immunohaematology Diagnostics, Sanquin, Amsterdam, Netherlands.
Saurabh ZalpuriCenter for Clinical Transfusion Research, Sanquin Research, Leiden, Netherlands.
Karen M K de VooghtDepartment of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht, Netherlands.
Daan van de KerkhofDepartment of Clinical Chemistry and Haematology, Catharina Hospital, Eindhoven, Netherlands.
Otto VisserDepartment of Haematology, VU Medical Center, Amsterdam, Netherlands.
Nathalie C PéquériauxDepartment of Clinical Chemistry and Haematology, Jeroen Bosch Hospital, 's-Hertogenbosch, Netherlands.
Francisca HudigLabWest, Haga Teaching Hospital, The Hague, Netherlands.
Henk SchonewilleCenter for Clinical Transfusion Research, Sanquin Research, Leiden, Netherlands.
Jaap Jan ZwagingaCenter for Clinical Transfusion Research, Sanquin Research, Leiden, Netherlands; Department of Immunohaematology and Blood Transfusion, Leiden University Medical Centre, Leiden, Netherlands.
Johanna G van der BomCenter for Clinical Transfusion Research, Sanquin Research, Leiden, Netherlands; Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, Netherlands. Electronic address: j.g.vanderbom@lumc.nl.
Sanquin · NLLeiden University Medical Center · NLAmsterdam UMC Location VUmc · NLHaga Hospital · NLJeroen Bosch Ziekenhuis · NLRadboud University Nijmegen · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMatching donor red blood cells based on recipient antigens prevents alloimmunisation. Knowledge about the immunogenicity of red-blood-cell antigens can help optimise risk-adapted matching strategies. We set out to assess the immunogenicity of red-blood-cell antigens.

methodsIn an incident new-user cohort of previously non-transfused, non-alloimmunised white patients receiving non-extended matched red-blood-cell transfusions in six Dutch hospitals between 2006 and 2013, we determined the cumulative number of mismatched red-blood-cell units per patient. We used multiple imputation to address missing antigen data. Using Kaplan-Meier analysis, we estimated cumulative alloimmunisation incidences per mismatched antigen dose as a measure of immunogenicity.

findingsOf 54 347 patients assessed, 21 512 were included in our study. Alloantibodies occurred in 474 (2·2%) of all transfused patients, with cumulative alloimmunisation incidences increasing up to 7·7% (95% CI 4·9-11·2) after 40 units received. The antigens C, c, E, K, and Jk(a) were responsible for 78% of all alloimmunisations in our cohort. K, E, and C(w) were the most immunogenic antigens (cumulative immunisation incidences after 2 mismatched units of 2·3% [95% CI 1·0-4·8] for K, 1·5% [0·6-3·0] for E, and 1·2% [0·0-10·8] for C(w)). These antigens were 8·7 times (for K), 5·4 times (for E), and 4·6 times (for C(w)) as immunogenic as Fy(a). The next most immunogenic antigens were, in order, e (1·9 times as immunogenic as Fy(a)), Jk(a) (1·9 times), and c (1·6 times).

interpretationRed-blood-cell antigens vary in their potency to evoke a humoral immune response. Our findings highlight that donor-recipient red-blood-cell matching strategies will be most efficient when primarily focusing on prevention of C, c, E, K, and Jk(a) alloimmunisation. Matching for Fy(a) is of lower clinical relevance. Variations of antigen frequencies determined by ethnic background prevent extrapolating these conclusions to non-white populations.

fundingNone.

Indexed as

Erythrocyte TransfusionAdolescentAdultAgedAged, 80 and overBlood Group AntigensBlood Group IncompatibilityBlood Grouping and CrossmatchingChildChild, PreschoolCohort StudiesFemaleFollow-Up StudiesHumansIncidenceInfantBlood Group AntigensIsoantibodies

Identifiers

PMID27264038
OpenAlexW2346520411

What OpenQuestion holds

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Registered trials

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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.