Evidence map›Paper›PMID 39035747›Full record

ArticleLeukemia research reports2024

Real-world treatments and clinical outcomes in unfit AML patients receiving first-line treatment or best supportive care in Italy (CURRENT study).

Maria Paola Martelli, Nicola Di Renzo, Antonio Curti, Nicola Stefano Fracchiolla, Luca Maurillo, Morena Caira, Paola Finsinger, Giuliana Gualberti, Felicetto Ferrara, Attilio Olivieri

Abstract read
In one paragraph

Article in Leukemia research reports, 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Epigenetic Targeting in Myeloid Malignancies.Advances in experimental medicine and biology · 2026
    Review
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

10 authors.

Maria Paola MartelliHematology and Clinical Immunology, Department of Medicine and Surgery, University of Perugia, Italy.
Nicola Di RenzoHematology e Transplant Unit- Hematology/Oncology Department, "Vito Fazzi" Hospital, Lecce, Italy.
Antonio CurtiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seragnoli", Bologna, Italy.
Nicola Stefano FracchiollaUOC Ematologia, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
Luca MaurilloEmatologia, Dipartimento di Biomedicina e Prevenzione, Università di Roma "Tor Vergata", Rome, Italy.
Morena CairaAbbVie srl, Campoverde di Aprilia, Latina, Italy.
Paola FinsingerAbbVie srl, Campoverde di Aprilia, Latina, Italy.
Giuliana GualbertiAbbVie srl, Campoverde di Aprilia, Latina, Italy.
Felicetto FerraraDivisione di Ematologia, Ospedale Antonio Cardarelli, Napoli, Italy.
Attilio OlivieriHematology Department & Stem Cell Transplant Unit, Università Politecnica delle Marche, Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world data on treatment patterns and outcomes of patients with acute myeloid leukemia unfit for intensive chemotherapy are lacking before the advent of precision medicine in this setting. Herein, we present the Italian sub-analysis of the CURRENT study in AML patients unfit for first line intensive chemotherapy, evaluating patients' outcomes between 2015 and 2018. Among 74 evaluable patients, 62 received systemic treatments (most used therapy was hypomethylating agents), while 12 best supportive care. Key results include both efficacy and safety data, as well as HCRU and treatment patterns. In first-line therapy cohort median OS was 13.4 months vs. 2.7 months for BSC.

Indexed as

Acute myeloid leukemiaElderly patientsHypomethylating agentsItalyTreatment pattern

Identifiers

PMID39035747
PMCPMC11258386

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.