Evidence map›Paper›PMID 35295076›Full record

Trial reportHaematologica2022

Clinical relevance of an objective flow cytometry approach based on limit of detection and limit of quantification for measurable residual disease assessment in acute myeloid leukemia. A post-hoc analysis of the GIMEMA AML1310 trial.

Francesco Buccisano, Raffaele Palmieri, Alfonso Piciocchi, Valentina Arena, Luca Maurillo, Maria-Ilaria Del Principe, Giovangiacinto Paterno, Maria-Antonietta Irno-Consalvo, Tiziana Ottone, Mariadomenica Divona and 6 more

Abstract readClinical Trial
In one paragraph

Trial report in Haematologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Measurable Residual Disease.Methods in molecular biology (Clifton, N.J.) · 2027
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Francesco BuccisanoEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata". francesco.buccisano@uniroma2.it.
Raffaele PalmieriEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Alfonso PiciocchiCentro Dati Fondazione GIMEMA Onlus, Roma.
Valentina ArenaCentro Dati Fondazione GIMEMA Onlus, Roma.
Luca MaurilloEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Maria-Ilaria Del PrincipeEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Giovangiacinto PaternoEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Maria-Antonietta Irno-ConsalvoEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Tiziana OttoneEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Mariadomenica DivonaEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Consuelo ContiEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Daniela FraboniEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Serena LavorgnaEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
William ArceseEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata", Roma; Rome Transplant Network, Roma.
Maria Teresa VosoEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".
Adriano VendittiEmatologia, Dipartimento di Biomedicina e Prevenzione, Universita di Roma "Tor Vergata".

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using a multiparametric flow cytometry assay, we assessed the predictive power of a threshold calculated applying the criteria of limit of detection (LOD) and limit of quantitation (LOQ) in adult patients with acute myeloid leukemia. This was a post-hoc analysis of 261 patients enrolled in the GIMEMA AML1310 prospective trial. According to the protocol design, using the predefined measurable residual disease (MRD) threshold of 0.035% bone marrow residual leukemic cells (RLC) calculated on mononuclear cells, 154 (59%) of the 261 patients were negative (MRD <0.035%) and 107 (41%) were positive (MRD ≥0.035%). Using LOD and LOQ, we selected the following categories of patients: (i) LODneg if RLC were below the LOD (74; 28.4%); (ii) LODpos-LOQneg if RLC were between the LOD and LOQ (43; 16.5%); and (iii) LOQpos if RLC were above the LOQ (144; 54.4%). Two-year overall survival of these three categories of patients was 75.4%, 79.8% and 66.4%, respectively (P=0.1197). Given their superimposable outcomes, the LODneg and LODpos-LOQneg categories were combined. Two-year overall survival of LODneg/LODpos-LOQneg patients was 77.0% versus 66.4% of LOQpos individuals (P=0.043). This figure was challenged in univariate analysis (P=0.046, hazard ratio=1.6, 95% confidence interval: 1.01-2.54) which confirmed the independent role of the LOD-LOQ approach in determining overall survival. In the AML1310 protocol, using the threshold of 0.035%, 2-year overall survival of patients with MRD <0.035% and MRD ≥0.035% was 74.5% versus 66.4%, respectively (P=0.3521). In conclusion, the use of the LOD-LOQ method results in more sensitive detection of MRD that, in turn, translates into a more accurate recognition of patients with different outcomes.

Indexed as

Leukemia, Myeloid, AcuteAdultFlow CytometryHumansLimit of DetectionNeoplasm, ResidualProspective Studies

Identifiers

PMID35295076
PMCPMC9713557

What OpenQuestion holds

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LicenceCC BY-NC
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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.