ReviewMedical journal, Armed Forces India2016
Minimal residual disease detection using flow cytometry: Applications in acute leukemia.
Review in Medical journal, Armed Forces India, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 32 citations in OpenAlex.
- Next-Generation Sequencing for Minimal Residual Disease Detection in Pediatric Acute Lymphoblastic Leukemia: Technological Advances, Clinical Translations and Current Challenges.Current issues in molecular biology · 2026Review
- False-Positive and False-Negative MRD Results in Children with Acute Lymphoblastic Leukemia: Navigating Between Scylla and Charybdis (Brief Review and Clinical Experience).Children (Basel, Switzerland) · 2025Review
- Minimal Residual Disease Detection: Implications for Clinical Diagnosis and Cancer Patient Treatment.MedComm · 2025Review
- Article
- Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study.PloS one · 2024Article
- Highly sensitive single tube B-lymphoblastic leukemia/lymphoma minimal/measurable residual disease test robust to surface antigen directed therapy.Cytometry. Part B, Clinical cytometry · 2023Article
- High efficacy of azacitidine combined with homoharringtonine, idarubicin, and cytarabine in newly diagnosed patients with AML: A single arm, phase 2 trial.Frontiers in oncology · 2022Article
- Identifying Leukemia-associated Immunophenotypes in Acute Myeloid Leukemia Patients Using Multiparameter Flow Cytometry.Oman medical journal · 2021Article
- Small molecular fluorescence dyes for immuno cell analysis.Analytical biochemistry · 2021Article
- Evaluating measurable residual disease in acute myeloid leukemia.Blood advances · 2018Review
- Multiparametric Whole Blood Dissection: A one-shot comprehensive picture of the human hematopoietic system.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Minimal residual disease (MRD) describes disease that can be diagnosed by methodologies other than conventional morphology, and includes molecular methods (like polymerase chain reaction (PCR)) or flow cytometry (FCM). Detection and monitoring of MRD is becoming the standard of care, considering its importance in predicting the treatment outcome. MRD aids in identifying high-risk patients and hence therapy can be intensified in them while deintensification of therapy can prevent long-term sequelae of chemotherapy in low-risk category. FCM is considered as a less labor-intensive and faster MRD technique as compared to PCR although it has its own share of disadvantages. Current immune-based methodologies for detection of MRD depend on establishing leukemia-associated aberrant immunophenotype (LAIP), at diagnosis or relapse and use this information at specified time points for detection of MRD, or apply a standardized panel of antibody combinations for all MRD cases, in a different-from-normal approach. This review highlights MRD detection by FCM and its application in acute leukemia.
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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.