Unraveling progression predictors in prefibrotic myelofibrosis: A 2,000-patient systematic review and meta-analysis

Abstract Background: Prefibrotic primary myelofibrosis (pre-PMF) is a distinct clinical entity within the myeloproliferative neoplasms (MPNs), often underrecognized despite its potential progression to overt myelofibrosis (MF) or acute myeloid leukemia (AML). The heterogeneity in clinical outcomes among pre-PMF patients necessitates a clearer understanding of risk factors predictive of adverse outcomes. Methods: We conducted a systematic review and meta-analysis to identify clinical, hematologic, cytogenetic, and molecular predictors of disease progression and mortality in patients with pre-PMF. Five studies encompassing 2,010 patients were included in the systematic review. Of these, four studies provided hazard ratios (HRs) with 95% confidence intervals (CIs) and were included in the quantitative synthesis. A random-effects model was used to pool HRs for variables consistently reported across studies. Results: Pooled analysis revealed that anemia (HR: 2.62, 95% CI: 1.93–3.57), age >65 years (HR: 1.93, 95% CI: 1.34–2.78), leukocytosis >13 x10⁹/L (HR: 1.69, 95% CI: 1.29–2.22), and high molecular risk (HMR) mutations (HR: 2.01, 95% CI: 1.41–2.88) were independently associated with increased risk of progression to overt MF or AML and/or poor overall survival. High-risk cytogenetics and peripheral blasts were also predictive in individual studies. Based on these findings, we proposed a preliminary prognostic scoring system—the PRE-MF Progression Risk Score (PPRS)—incorporating age, anemia, leukocytosis, HMR mutations, and karyotype abnormalities. Risk stratification using this score may help guide surveillance intensity and therapeutic decision-making. Conclusions: Our findings identify reproducible risk factors associated with adverse outcomes in pre-PMF and support their integration into clinical risk stratification. The proposed PPRS model is a hypothesis-generating tool that requires validation in prospective cohorts but may serve as a foundation for future personalized management strategies in pre-PMF. Keywords: Prefibrotic myelofibrosis, progression, acute leukemia, risk factors, meta-analysis, anemia, HMR mutations, scoring system.

Institutions

Publication Details

Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-7271
Primary Topic
Myeloproliferative Neoplasms: Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unraveling progression predictors in prefibrotic myelofibrosis: A 2,000-patient systematic review and meta-analysis

Blood
Myeloproliferative Neoplasms: Diagnosis and Treatment
article

Unraveling progression predictors in prefibrotic myelofibrosis: A 2,000-patient systematic review and meta-analysis

article en

Abstract

Abstract Background: Prefibrotic primary myelofibrosis (pre-PMF) is a distinct clinical entity within the myeloproliferative neoplasms (MPNs), often underrecognized despite its potential progression to overt myelofibrosis (MF) or acute myeloid leukemia (AML). The heterogeneity in clinical outcomes among pre-PMF patients necessitates a clearer understanding of risk factors predictive of adverse outcomes. Methods: We conducted a systematic review and meta-analysis to identify clinical, hematologic, cytogenetic, and molecular predictors of disease progression and mortality in patients with pre-PMF. Five studies encompassing 2,010 patients were included in the systematic review. Of these, four studies provided hazard ratios (HRs) with 95% confidence intervals (CIs) and were included in the quantitative synthesis. A random-effects model was used to pool HRs for variables consistently reported across studies. Results: Pooled analysis revealed that anemia (HR: 2.62, 95% CI: 1.93–3.57), age >65 years (HR: 1.93, 95% CI: 1.34–2.78), leukocytosis >13 x10⁹/L (HR: 1.69, 95% CI: 1.29–2.22), and high molecular risk (HMR) mutations (HR: 2.01, 95% CI: 1.41–2.88) were independently associated with increased risk of progression to overt MF or AML and/or poor overall survival. High-risk cytogenetics and peripheral blasts were also predictive in individual studies. Based on these findings, we proposed a preliminary prognostic scoring system—the PRE-MF Progression Risk Score (PPRS)—incorporating age, anemia, leukocytosis, HMR mutations, and karyotype abnormalities. Risk stratification using this score may help guide surveillance intensity and therapeutic decision-making. Conclusions: Our findings identify reproducible risk factors associated with adverse outcomes in pre-PMF and support their integration into clinical risk stratification. The proposed PPRS model is a hypothesis-generating tool that requires validation in prospective cohorts but may serve as a foundation for future personalized management strategies in pre-PMF. Keywords: Prefibrotic myelofibrosis, progression, acute leukemia, risk factors, meta-analysis, anemia, HMR mutations, scoring system.

BloodVol. 146(Supplement 1)
University of California, Riverside (US), Sardar Vallabhbhai National Institute of Technology Surat (IN), Government Medical College (IN), Beaumont Hospital (US), University of South Alabama Medical Center (US)
No poverty
Openalex Percentile: Top 29%
Myeloproliferative Neoplasms: Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.