Evidence map›Paper›PMID 37147425›Full record

ArticleLeukemia2023

Assessment and validation of the molecular international prognostic scoring system for myelodysplastic syndromes.

Luis E Aguirre, Najla Al Ali, David A Sallman, Somedeb Ball, Akriti G Jain, Onyee Chan, Sara M Tinsley-Vance, Andrew Kuykendall, Kendra Sweet, Jeffrey E Lancet and 2 more

Abstract read
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In one paragraph

Article in Leukemia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  16. Frontline treatment options for higher-risk MDS: can we move past azacitidine?Hematology. American Society of Hematology. Education Program · 2023
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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

12 authors.

Luis E AguirreH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. luis.aguirre@moffitt.org.ORCID http://orcid.org/0000-0002-5377-9252
Najla Al AliH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
David A SallmanH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0003-0504-8233
Somedeb BallH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-1754-1204
Akriti G JainH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Onyee ChanH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0003-2872-1961
Sara M Tinsley-VanceH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0003-3012-7398
Andrew KuykendallH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Kendra SweetH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Jeffrey E LancetH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-7751-7310
Eric PadronH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID http://orcid.org/0000-0002-4707-7916
Rami S KomrokjiH. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. rami.komrokji@moffitt.org.ORCID http://orcid.org/0000-0002-1876-5269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Molecular International Prognostic Scoring System (IPSS-M) is a novel risk stratification model for myelodysplastic syndromes (MDS) that builds on the IPSS and IPSS-R by incorporating mutational data. The model showed improved prognostic accuracy over the IPSS-R across three endpoints: overall survival (OS), leukemia-free survival (LFS) and leukemic transformation. This study aimed to validate the findings of the original in a large cohort of MDS patients, as well as assess its validity in therapy-related and hypoplastic MDS. We retrospectively reviewed clinical, cytogenetic and molecular data for 2355 MDS patients treated at the Moffitt Cancer Center. Correlative analysis between IPSS-R and mean IPSS-M scores and outcome predictions was performed on LFS, OS and leukemic transformation. Using the IPSS-M, patients were classified as Very Low (4%), Low (24%), Moderate-Low (14%), Moderate-High (11%), High (19%) and Very-High risk (28%). Median OS was 11.7, 7.1, 4.4, 3.1, 2.3, and 1.3 years from VL to VH risk subgroups. Median LFS was 12.3, 6.9, 3.6, 2.2, 1.4, and 0.5 years respectively. For patients with t-MDS and h-MDS the model retained its prognostic accuracy. Generalized use of this tool will likely result in more accurate prognostic assessment and optimize therapeutic decision-making in MDS.

Indexed as

LeukemiaMyelodysplastic SyndromesHumansPrognosisRetrospective Studies

Identifiers

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Read underepoch 390

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.