Evidence map›Paper›PMID 41036482›Full record

ArticleBlood neoplasia2025

A comparative assessment of molecular-based prognostic models in CMML.

Luis E Aguirre, Najla Al Ali, Somedeb Ball, Akriti G Jain, David A Sallman, Andrew T Kuykendall, Alison R Walker, Kendra Sweet, Jeffrey E Lancet, Eric Padron and 1 more

Abstract read
In one paragraph

Article in Blood neoplasia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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

11 authors.

Luis E AguirreDivision of Leukemia, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Najla Al AliDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Somedeb BallDivision of Hematology and Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN.
Akriti G JainLeukemia and Myeloid Disorders Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
David A SallmanDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Andrew T KuykendallDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Alison R WalkerDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Kendra SweetDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Jeffrey E LancetDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Eric PadronDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Rami S KomrokjiDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several prognostic systems integrating clinical, cytogenetic, and molecular parameters have been developed to estimate risk and inform treatment in chronic myelomonocytic leukemia (CMML). Recently, the molecular International Prognostic Scoring System (IPSS-M) was introduced for risk stratification in myelodysplastic syndromes (MDS), demonstrating improved prognostic accuracy over the mutation-agnostic Revised International Prognostic Scoring System (IPSS-R) and potentially offering a novel tool for risk assessment in this population. We aimed to assess whether the applicability of the IPSS-M extends to CMML while providing a comprehensive comparison of all major molecular-based integrated models. Baseline clinical and molecular data were collected from 340 patients with CMML. The most frequent mutations were

Identifiers

PMID41036482
PMCPMC12483596

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.