Evidence map›Paper›PMID 36884300›Full record

ArticleBlood advances2023

Undetectable measurable residual disease is associated with improved outcomes in AML irrespective of treatment intensity.

Alexandre Bazinet, Tapan Kadia, Nicholas J Short, Gautam Borthakur, Sa A Wang, Wei Wang, Sanam Loghavi, Jeffrey Jorgensen, Keyur Patel, Courtney DiNardo and 17 more

Abstract read
In one paragraph

Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Acute Myeloid Leukemia-Use of Measurable Residual Disease to Improve Outcomes.Advances in experimental medicine and biology · 2025
    Review
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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

27 authors.

Alexandre BazinetDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Tapan KadiaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Nicholas J ShortDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-2983-2738
Gautam BorthakurDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Sa A WangDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Wei WangDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Sanam LoghaviDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-8980-3202
Jeffrey JorgensenDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Keyur PatelDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-5081-2427
Courtney DiNardoDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-9003-0390
Naval DaverDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-7103-373X
Yesid AlvaradoDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-1652-7937
Fadi G HaddadDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Sherry PierceDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Graciela Nogueras GonzalezDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-6350-2206
Abhishek MaitiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Koji SasakiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-9140-0610
Musa YilmazDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-4498-4895
Philip ThompsonDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-2086-6031
William WierdaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Guillermo Garcia-ManeroDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Michael AndreeffDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-1144-1958
Elias JabbourDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Marina KonoplevaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-9347-2212
Xuelin HuangDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-1192-9336
Hagop KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Farhad RavandiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) can be treated with either high- or low-intensity regimens. Highly sensitive assays for measurable residual disease (MRD) now allow for a more precise assessment of response quality. We hypothesized that treatment (Rx) intensity may not be a key predictor of outcomes, assuming that an optimal response to therapy is achieved. We performed a single-center retrospective study including 635 patients with newly diagnosed AML responding to either intensive cytarabine/anthracycline-based chemotherapy (IA; n = 385) or low-intensity venetoclax-based regimens (LOW + VEN; n = 250) and who had adequate flow cytometry-based MRD testing performed at the time of best response. The median overall survival (OS) was 50.2, 18.2, 13.6, and 8.1 months for the IA MRD-, LOW + VEN MRD-, IA MRD+, and LOW + VEN MRD+ cohorts, respectively. The 2-year cumulative incidence of relapse (CIR) was 41.1%, 33.5%, 64.2%, and 59.9% for the IA MRD-, LOW + VEN MRD-, IA MRD+, and LOW + VEN MRD+ cohorts, respectively. The CIR was similar between patients within MRD categories irrespective of the treatment regimen received. The IA cohort was enriched for younger patients and favorable AML cytogenetic/molecular categories. Using multivariate analysis, age, best response (complete remission [CR]/CR with incomplete hematologic recovery/morphologic leukemia-free state), MRD status, and European LeukemiaNet (ELN) 2017 risk remained significantly associated with OS, whereas best response, MRD status, and ELN 2017 risk were significantly associated with CIR. Treatment intensity was not significantly associated with either OS or CIR. Achievement of MRD- CR should be the key objective of AML therapy in both high- and low-intensity treatment regimens.

Indexed as

Leukemia, Myeloid, AcuteDisease-Free SurvivalHumansNeoplasm, ResidualPrognosisRecurrenceRemission InductionRetrospective Studies

Identifiers

PMID36884300
PMCPMC10336257

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.