Evidence map›Paper›PMID 27872732›Full record

ReviewMediterranean journal of hematology and infectious diseases2016

Minimal Residual Disease in Acute Myeloid Leukemia of Adults: Determination, Prognostic Impact and Clinical Applications.

Maria Ilaria Del Principe, Francesco Buccisano, Luca Maurillo, Giuseppe Sconocchia, Mariagiovanna Cefalo, Maria Irno Consalvo, Chiara Sarlo, Consuelo Conti, Giovanna De Santis, Eleonora De Bellis and 11 more

Open access · goldAbstract readReview
In one paragraph

Review in Mediterranean journal of hematology and infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. [Expression ofZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2019
    Article
  8. MRD in AML: The Role of New Techniques.Frontiers in oncology · 2019
    Review
  9. Article
  10. Clonal heterogeneity ofOncotarget · 2018
    Article
  11. Review
  12. Review
  13. Minimal residual disease in acute myelogenous leukemia.International journal of laboratory hematology · 2017
    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

21 authors at 1 institution in 1 country.

Maria Ilaria Del PrincipeEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Francesco BuccisanoEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Luca MaurilloEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Giuseppe SconocchiaIstituto di Farmacologia Translazionale, Dipartimento di Medicina, CNR, Roma, Italia.
Mariagiovanna CefaloEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Maria Irno ConsalvoEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Chiara SarloEmatologia, Policlinico Universitario-Campus Biomedico, Roma, Italia.
Consuelo ContiEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Giovanna De SantisEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Eleonora De BellisEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Ambra Di VeroliEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Patrizia PalombaEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Cristina AttrottoEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Annagiulia ZizzariEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Giovangiacinto PaternoEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Maria Teresa VosoEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Giovanni Del PoetaEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Francesco Lo-CocoEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia; Laboratorio di Neuro-Oncoematologia, I.R.C.C.S.- Fondazione S. Lucia, Roma, Italia.
William ArceseEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Sergio AmadoriEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
Adriano VendittiEmatologia, Dipartimento di Biomedicina e Prevenzione, Università degli studi di Roma "Tor Vergata", Roma, Italia.
University of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pretreatment assessment of cytogenetic/genetic signature of acute myeloid leukemia (AML) has been consistently shown to play a major prognostic role but also to fail at predicting outcome on individual basis, even in low-risk AML. Therefore, we are in need of further accurate methods to refine the patients' risk allocation process, distinguishing more adequately those who are likely to recur from those who are not. In this view, there is now evidence that the submicroscopic amounts of leukemic cells (called minimal residual disease, MRD), measured during the course of treatment, indicate the quality of response to therapy. Therefore, MRD might serve as an independent, additional biomarker to help to identify patients at higher risk of relapse. Detection of MRD requires the use of highly sensitive ancillary techniques, such as polymerase chain reaction (PCR) and multiparametric flow cytometry(MPFC). In the present manuscript, we will review the current approaches to investigate MRD and its clinical applications in AML management.

Identifiers

PMID27872732
PMCPMC5111512
OpenAlexW2535631313

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.