Integrating clinical, morphological, and molecular data to assess prognosis in patients with primary myelofibrosis at diagnosis: A practical approach.
Clicks: 354
ID: 63779
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
68.0
/100
354 views
239 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #2 of 6 articles by views in hematological oncology
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Currently available prognostic scoring systems in primary myelofibrosis (PMF) do not integrate clinical, histological, and molecular data, or they also required information on "other" mutations that are available in the clinical practice only in a very limited number of laboratories. In the present multicenter study, including 401 PMF patients, an integrated International Prognostic Scoring System (I-IPSS) was developed by combining IPSS, grade of bone marrow fibrosis (GBMF), and driver mutations molecular status (MS) to define PMF prognosis at diagnosis. Four prognostic categories were identified: I-IPSS-low risk (113 patients), I-IPSS-intermediate-1 risk (56 patients), I-IPSS-intermediate-2 risk (154 patients), and I-IPSS-high risk (78 patients). Median overall survival was 26.7 years in I-IPSS-intermediate-1, 10.8 in I-IPSS-intermediate-2, and 6.4 in I-IPSS-high-risk patients (log-rank test <0.0001); instead, it was not reached in the I-IPSS-low-risk cohort because of the extremely low number of registered deaths. The addition of GBMF and MS to IPSS improved the efficacy for predicting the risk of death. Indeed, the sensitivity of I-IPSS was significantly higher (P < .05) than that of IPSS, considering both total deaths and 5- and 10-year mortality. This comprehensive approach allows clinicians to evaluate mutual interactions between IPSS, GBMF, and MS and identify high-risk patients with poor prognosis who may benefit from aggressive treatments. More importantly, this integrated score can be easily applicable worldwide as it only required information that represent the good clinical practice in the management of PMF patients.
| Reference Key |
iurlo2019integratinghematological
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Iurlo, Alessandra;Elli, Elena Maria;Palandri, Francesca;Cattaneo, Daniele;Bossi, Anna;Cortinovis, Ivan;Bucelli, Cristina;Orofino, Nicola;Brioschi, Filippo;Auteri, Giuseppe;Bianchi, Paola;Fabris, Sonia;Isimbaldi, Giuseppe;Sabattini, Elena;Baldini, Luca;Gianelli, Umberto; |
| Journal | hematological oncology |
| Year | 2019 |
| DOI |
10.1002/hon.2658
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.