Evidence map›Paper›PMID 39373301›Full record

ArticleImmunohematology2024

Mixed-field ABO front typing as an early sign of disease recurrence in ABO-matched stem cell transplantation.

Nalan Yurtsever, Edward S Lee, Lisa Pinatti, Bhushan Shah, Christopher A Tormey, Alexa J Siddon

Abstract readCase Reports
In one paragraph

Article in Immunohematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Nalan Yurtsever1Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT.
Edward S Lee1Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT.
Lisa Pinatti2Yale New Haven Health, New Haven, CT.
Bhushan Shah2Yale New Haven Health, New Haven, CT.
Christopher A Tormey1Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT.
Alexa J Siddon1Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
IMMUNOHEMATOLOGY/TRANSFUSION MEDICINE RESEARCH TRAININGT32HL007974 · NHLBI · YALE UNIVERSITY · PI JEANNE E HENDRICKSON, Diane S Krause · 2001 to 2026
$8.1M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS T32 HL007974
6 · The paper itself

Abstract

ABO group testing is critical for allogeneic stem cell transplantation because mismatches can cause both transfusion and engraftment challenges. Even with ABO-matched donor-recipient pairs, ABO group determination may provide valuable insight into allograft status. Herein, we report a case of a 76-year-old female patient with myeloid neoplasm who underwent ABO-matched stem cell transplantation and in whom mixed-field ABO antigen expression during routine follow-up testing post-transplantation was the first sign of a change in transplant graft status; the mixed-field findings pre-dated changes in formal chimerism testing. This case underscores the potential of mixed-field ABO typing as an early indicator of disease recurrence in ABO-matched stem cell transplants and suggests that, in such cases, more sensitive forms of chimerism testing and/or closer monitoring for disease recurrence, particularly in the clinical setting of myeloid neoplasms, may be warranted.

Indexed as

ABO Blood-Group SystemRecurrenceAgedBlood Grouping and CrossmatchingFemaleHematopoietic Stem Cell TransplantationHumansStem Cell TransplantationTransplantation, HomologousABO Blood-Group SystemABO typingchimerismdisease recurrencemixed fieldtransplant

Identifiers

PMID39373301
PMCPMC11700658

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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.