Evidence map›Paper›PMID 39179882›Full record

ReviewCurrent hematologic malignancy reports2024

Prognostic and Predictive Models in Myelofibrosis.

Barbara Mora, Cristina Bucelli, Daniele Cattaneo, Valentina Bellani, Francesco Versino, Kordelia Barbullushi, Nicola Fracchiolla, Alessandra Iurlo, Francesco Passamonti

Abstract readReview
In one paragraph

Review in Current hematologic malignancy reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Myelofibrosis: Treatment Options After Ruxolitinib Failure.Current oncology (Toronto, Ont.) · 2025
    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

9 authors.

Barbara MoraFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35 - 20122, Milan, Italy.
Cristina BucelliFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35 - 20122, Milan, Italy.
Daniele CattaneoFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35 - 20122, Milan, Italy.
Valentina BellaniFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35 - 20122, Milan, Italy.
Francesco VersinoDipartimento Di Oncologia Ed Onco-Ematologia, Università Degli Studi Di Milano, Via Francesco Sforza, 35 - 20122, Milan, Italy.
Kordelia BarbullushiFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35 - 20122, Milan, Italy.
Nicola FracchiollaFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35 - 20122, Milan, Italy.
Alessandra IurloFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35 - 20122, Milan, Italy.
Francesco PassamontiFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35 - 20122, Milan, Italy. francesco.passamonti@unimi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMyelofibrosis (MF) includes prefibrotic primary MF (pre-PMF), overt-PMF and secondary MF (SMF). Median overall survival (OS) of pre-PMF, overt-PMF and SMF patients is around 14 years, seven and nine years, respectively. Main causes of mortality are non-clonal progression and transformation into blast phase. RECENT

findingsDiscoveries on the impact of the biological architecture on OS have led to the design of integrated scores to predict survival in PMF. For SMF, OS estimates should be calculated by the specific MYSEC-PM (MYelofibrosis SECondary-prognostic model). Information on the prognostic role of the molecular landscape in SMF is accumulating. Crucial treatment decisions for MF patients could be now supported by multivariable predictive algorithms. OS should become a relevant endpoint of clinical trials. Prognostic models guide prediction of OS and treatment planning in MF, therefore, their timely application is critical in the personalized approach of MF patients.

Indexed as

Primary MyelofibrosisDisease ProgressionHumansPrognosisAllogenic-stem cells transplantJAK inhibitorsMyelofibrosisNext generation sequencingPrognosis

Identifiers

PMID39179882
PMCPMC11416430

What OpenQuestion holds

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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.