Evidence map›Paper›PMID 31666655›Full record

ArticleBone marrow transplantation2020

Statistics and measurable residual disease (MRD) testing: uses and abuses in hematopoietic cell transplantation.

Megan Othus, Robert Peter Gale, Christopher S Hourigan, Roland B Walter

Open access · bronzeAbstract readEditorial
In one paragraph

Article in Bone marrow transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
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  12. Acute Myeloid Leukemia-Use of Measurable Residual Disease to Improve Outcomes.Advances in experimental medicine and biology · 2025
    Review
  13. Article
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  15. Article
  16. Review
  17. Review
  18. Article
  19. Allogeneic transplantation for advanced acute leukemia.Hematology. American Society of Hematology. Education Program · 2022
    Article
  20. Achieving MRD negativity in AML: how important is this and how do we get there?Hematology. American Society of Hematology. Education Program · 2022
    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

4 authors at 4 institutions in 3 countries.

Megan OthusPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8176-6371
Robert Peter GaleHaematology Research Centre, Division of Experimental Medicine, Department of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-9156-1676
Christopher S HouriganMyeloid Malignancies Section, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Roland B WalterClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. rwalter@fredhutch.org.ORCID http://orcid.org/0000-0002-9268-3341
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAFred Hutch Cancer Center · USImperial College London · GBNational Institutes of Health · US

Funding

SWOG Network Group Operations Center of the NCTNU10CA180888 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PRIMO N. LARA · 2014 to 2026
$152.1M
SWOG Statistics & Data Management Center complex - extension supplement for GY06U10CA180819 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Michael L. LeBlanc · 2014 to 2026
$115.2M
Detection, prevention and treatment of acute myeloid leukemia (AML) relapse.ZIAHL006163 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI HOURIGAN, CHRISTOPHER · 2013 to 2023
$21.0M
NCI NIH HHS U10 CA180819NCI NIH HHS U10 CA180888U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA180819U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA180888
6 · The paper itself

Abstract

SERIES EDITORS' NOTE: The decision whether to recommend a transplant to someone with acute leukemia in first remission is complex and challenging. Diverse, often confounded co-variates interact to influence one's recommendation. Briefly, the decision metric can be viewed in three spheres: (1) subject-; (2) transplant-; and (3) disease-related co-variates. Subject-related co-variates include items such as age and comorbidities. Transplant-related co-variates include items such as donor-types, graft source, proposed conditioning and pre- and post-transplant immune suppression.But what of disease-related variables? Previously haematologists relied on co-variates such as WBC at diagnosis, chemotherapy cycles to achieve first remission, cytogenetics and most recently, mutation topography. However, these co-variates have largely been replaced by results of measurable residual disease (MRD)-testing. Many chemotherapy-only and transplant studies report strong correlations between results of MRD-testing on therapy outcomes such as cumulative incidence of relapse (CIR), leukemia-free survival (LFS) or survival. (CIR makes biological sense in a transplant context whereas LFS and survival do not give competing causes of death such as transplant-related mortality (TRM), graft-versus-host disease and interstitial pneumonia unrelated to relapse probability).This raises the question of how useful results are of MRD-testing in predicting CIR after transplants. Elsewhere we discussed accuracy and precision of MRD-testing in predicting outcomes of therapy of acute myeloid leukemia (Estey E, Gale RP. Leukemia 31:1255-1258, 2017; Hourigan CS, Gale RP, Gormley NJ, Ossenkoppele GJ, Walter RB. Leukemia 31:1482-1490, 2017). Briefly put, not terribly good. Although results of MRD-testing are often the most powerful predictor of CIR in multivariable analyses, the C-statistic (a measure of prediction accuracy) is often only about 0.75. This is much better than flipping a fair coin but far from ideal.In the typescript which follows, Othus and colleagues discuss statistical issues underlying MRD-testing in the context of haematopoietic cell transplants. We hope readers, especially haematologists who often need to make transplant recommendations to people with acute leukemia in first remission, will read it carefully and critically. The bottom line is MRD-test data are useful but considerable uncertainty is unavoidable with substantial false-positive and -negative rates. We need to acknowledge this uncertainty to ourselves and to the people we counsel. The authors quote Voltaire who said: Doubt is not a pleasant condition, but certainty is an absurd one. Sadly so, but we do the best we can. Robert Peter Gale, Imperial College London, and Mei-Jie Zhang, Medical College of Wisconsin and CIBMTR.

Indexed as

Graft vs Host DiseaseHematopoietic Stem Cell TransplantationLeukemia, Myeloid, AcuteHumansNeoplasm, ResidualRecurrence

Identifiers

PMID31666655
PMCPMC7462748
OpenAlexW2982545257

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.