ArticleCancers2022
Real-World Experience of Measurable Residual Disease Response and Prognosis in Acute Myeloid Leukemia Treated with Venetoclax and Azacitidine.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Comparative efficacy of venetoclax and hypomethylating agents in acute myeloid leukemia treatment: a meta-analysis of clinical trials and Real-World outcomes.Annals of hematology · 2025Pooled it
- A systematic review of venetoclax for the treatment of unfit AML patients in real-world: is all that glitters gold?Annals of hematology · 2025Pooled it
- Landscape of Measurable Residual Disease in Acute Myeloid Leukemia: From Molecular Detection to Clinical Practice.Medical sciences (Basel, Switzerland) · 2026Review
- A real-world data study on long-course venetoclax combined with hypomethylating agents in unfit patients.Frontiers in oncology · 2026Article
- Review
- SETD1B mutations confer apoptosis resistance and BCL2 independence in B cell lymphoma.The Journal of experimental medicine · 2024Article
- Measurable Residual Disease Detection in Acute Myeloid Leukemia: Current Challenges and Future Directions.Biomedicines · 2024Review
- Understanding differential technologies for detection of MRD and how to incorporate into clinical practice.Hematology. American Society of Hematology. Education Program · 2023Article
- Targeting Measurable Residual Disease (MRD) in Acute Myeloid Leukemia (AML): Moving beyond Prognostication.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prognostic value of measurable residual disease (MRD) by flow cytometry in acute myeloid leukemia (AML) patients treated with non-intensive therapy is relatively unexplored. The clinical value of MRD threshold below 0.1% is also unknown after non-intensive therapy. In this study, MRD to a sensitivity of 0.01% was analyzed in sixty-three patients in remission after azacitidine/venetoclax treatment. Multivariable cox regression analysis identified prognostic factors associated with cumulative incidence of relapse (CIR), progression-free survival (PFS) and overall survival (OS). Patients who achieved MRD < 0.1% had a lower relapse rate than those who were MRD ≥ 0.1% at 18 months (13% versus 57%, p = 0.006). Patients who achieved an MRD-negative CR had longer median PFS and OS (not reached and 26.5 months) than those who were MRD-positive (12.6 and 10.3 months, respectively). MRD < 0.1% was an independent predictor for CIR, PFS, and OS, after adjusting for European Leukemia Net (ELN) risk, complex karyotype, and transplant (HR 5.92, 95% CI 1.34−26.09, p = 0.019 for PFS; HR 2.60, 95% CI 1.02−6.63, p = 0.046 for OS). Only an MRD threshold of 0.1%, and not 0.01%, was predictive for OS. Our results validate the recommended ELN MRD cut-off of 0.1% to discriminate between patients with improved CIR, PFS, and OS after azacitidine/venetoclax therapy.
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Registered trials
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.