Evidence map›Paper›PMID 37345475›Full record

ArticleHaematologica2024

Effect of age and treatment on predictive value of measurable residual disease: implications for clinical management of adult patients with acute myeloid leukemia.

Francesco Mannelli, Matteo Piccini, Sara Bencini, Giacomo Gianfaldoni, Benedetta Peruzzi, Roberto Caporale, Barbara Scappini, Laura Fasano, Elisa Quinti, Gaia Ciolli and 11 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 2 institutions in 1 country.

Francesco MannelliSOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze. francesco.mannelli@unifi.it.
Matteo PicciniSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Sara BenciniCentro Diagnostico di Citofluorimetria e Immunoterapia, AOU Careggi, Firenze.
Giacomo GianfaldoniSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Benedetta PeruzziCentro Diagnostico di Citofluorimetria e Immunoterapia, AOU Careggi, Firenze.
Roberto CaporaleCentro Diagnostico di Citofluorimetria e Immunoterapia, AOU Careggi, Firenze.
Barbara ScappiniSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Laura FasanoSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Elisa QuintiSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Gaia CiolliSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Andrea PasquiniSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Francesca CrupiSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Sofia PilerciSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Fabiana PancaniSOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze.
Leonardo SignoriSOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze.
Danilo TarantinoSOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze.
Chiara MaccariSOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze.
Vivian ParadisoSOD Ematologia, Università di Firenze, AOU Careggi, Firenze.
Francesco AnnunziatoCentro Diagnostico di Citofluorimetria e Immunoterapia, AOU Careggi, Firenze.
Paola GuglielmelliSOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze.
Alessandro M VannucchiSOD Ematologia, Università di Firenze, AOU Careggi, Firenze, Italy; Centro Ricerca e Innovazione Malattie Mieloproliferative (CRIMM), AOU Careggi, Firenze.
Azienda Ospedaliero-Universitaria Careggi · ITCentro di Riferimento Oncologico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measurable residual disease (MRD) is a powerful predictor of outcome in acute myeloid leukemia. In the early phases of treatment, MRD refines initial disease risk stratification and is used for the allocation to allogeneic transplant. Despite its well-established role, a relatively high fraction of patients eventually relapses albeit achieving MRDneg status. The aim of this work was to assess specifically the influence of baseline features and treatment intensity on the predictive value of an MRDneg status, particularly focusing on MRD2, measured after two consecutive chemotherapy cycles. Among baseline features, younger MRD2neg patients (<55 years) had a significantly longer disease-free survival (median not reached) compared to their older counterparts (median 25.0 months, P=0.013, hazard ratio=2.08). Treatment intensity, specifically the delivery of a high dose of cytarabine in induction or first consolidation, apparently had a pejorative effect on the outcome of MRD2neg patients compared to standard dose (P=0.048, hazard ratio=1.80), a finding also confirmed by the analysis of data extracted from the literature. The combination of age and treatment intensity allowed us to identify categories of patients, among those who reached a MRD2neg status, characterized by significantly different disease-free survival rate. Our data showed that variables such as age and intensity of treatment administered can influence the predictive value of MRD in patients with acute myeloid leukemia. In addition to underscoring the need for further improvement of MRD analysis, these findings call for a reasoned application of MRD data, as currently available, to modulate consolidation therapy on adequately estimated relapse rates.

Indexed as

Hematopoietic Stem Cell TransplantationLeukemia, Myeloid, AcuteAdultChronic DiseaseDisease-Free SurvivalHumansNeoplasm, ResidualPrognosisRecurrenceTransplantation, Homologous

Identifiers

PMID37345475
PMCPMC10772533
OpenAlexW4381597426

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.