Evidence map›Paper›PMID 30229989›Full record

Trial reportHepatology (Baltimore, Md.)2019

Prevalence and Impact of De Novo Donor-Specific Antibodies During a Multicenter Immunosuppression Withdrawal Trial in Adult Liver Transplant Recipients.

Vadim Jucaud, Abraham Shaked, Michele DesMarais, Peter Sayre, Sandy Feng, Josh Levitsky, Matthew J Everly

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Hepatology (Baltimore, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
7.0field-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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Frontiers in immunology · 2020
    Pooled it
  3. World journal of gastroenterology · 2019
    Pooled it
  4. Effects ofOpen life sciences · 2025
    Article
  5. Review
  6. Article
  7. European Society for Organ Transplantation Consensus Statement on Biomarkers in Liver Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2023
    Article
  8. Review
  9. Evidence for Alloimmune Sinusoidal Injury inTransplant international : official journal of the European Society for Organ Transplantation · 2023
    Article
  10. Incidence of acute rejection and patient survival in combined heart-liver transplantation.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. A combination of the percentages of IFN-γJournal of translational medicine · 2021
    Article
  15. Article
  16. Article
  17. Strategies for Liver Transplantation Tolerance.International journal of molecular sciences · 2021
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Vadim JucaudTerasaki Research Institute, Los Angeles, CA.ORCID 0000-0003-0385-2623
Abraham ShakedUniversity of Pennsylvania, Philadelphia, PA.
Michele DesMaraisImmune Tolerance Network, San Francisco, CA.ORCID 0000-0002-0063-907X
Peter SayreImmune Tolerance Network, San Francisco, CA.
Sandy FengUniversity of California San Francisco, San Francisco, CA.
Josh LevitskyNorthwestern University, Chicago, IL.
Matthew J EverlyTerasaki Research Institute, Los Angeles, CA.
Terasaki Foundation · USUniversity of California, San Francisco · USImmune Tolerance Network · USNorthwestern University · USUniversity of Pennsylvania · US

Funding

Immune Tolerance Network UM1 2023 SupplementUM1AI109565 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI Mark S Anderson, Jane Hoyt Buckner · 2014 to 2026
$451.6M
NIAID NIH HHS UM1 AI109565Terasaki Research Institute
6 · The paper itself

Abstract

The development of human leukocyte antigen (HLA) donor-specific antibody/antibodies (DSA) is not well described in liver transplant (LT) patients undergoing immunosuppression (IS) withdrawal protocols despite the allograft risk associated with de novo DSA (dnDSA). We analyzed the development of dnDSA in 69 LT patients who received calcineurin inhibitor monotherapy and were enrolled in the ITN030ST study. Of these 69 patients, 40 stable patients were randomized to IS maintenance (n = 9) or IS minimization (n = 31). Nine of the 31 IS minimization patients achieved complete withdrawal and were free of IS. Among patients who achieved stable IS monotherapy 1 year after transplantation, the prevalence of dnDSA was 18.8%. Acute rejections and the biopsy-proven findings disqualifying patients from IS withdrawal attempt were factors associated with dnDSA development (P = 0.011 and P = 0.041, respectively). Among randomized patients, dnDSA prevalence was 51.7% after IS minimization and 66.7% in IS-free patients. dnDSA prevalence in patients on IS maintenance was 44.4%. dnDSA development during IS minimization was a risk factor for acute rejection (P = 0.015). The majority of dnDSA were against HLA-DQ antigens (78.7%). Conclusion. During the first year following transplantation, acute rejections increase the risk of developing dnDSA, so dnDSA positivity should be considered for IS withdrawal eligibility; during IS minimization, dnDSA development was associated with acute rejection, which prevented further IS withdrawal attempts.

Indexed as

Antibody FormationImmunosuppression TherapyLiver TransplantationTransplantation ImmunologyWithholding TreatmentAdolescentAdultAgedChildFemaleHLA AntigensHumansMaleMiddle AgedProspective StudiesTissue DonorsHLA Antigens

Identifiers

PMID30229989
PMCPMC12330798
OpenAlexW2890183327

What OpenQuestion holds

Textmetadata
LicenceTDM
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.