Evidence map›Paper›PMID 38450522›Full record

ArticleHaematologica2024

Prognostic impact of

Faiqa Farrukh, Maymona Abdelmagid, Abhishek Mangaonkar, Mrinal Patnaik, Aref Al-Kali, Michelle A Elliott, Kebede H Begna, Christopher C Hook, William J Hogan, Animesh Pardanani and 8 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

18 authors at 3 institutions in 1 country.

Faiqa FarrukhDivisions of Hematology.
Maymona AbdelmagidDivisions of Hematology.
Abhishek MangaonkarDivisions of Hematology.
Mrinal PatnaikDivisions of Hematology.
Aref Al-KaliDivisions of Hematology.
Michelle A ElliottDivisions of Hematology.
Kebede H BegnaDivisions of Hematology.
Christopher C HookDivisions of Hematology.
William J HoganDivisions of Hematology.
Animesh PardananiDivisions of Hematology.
Mark R LitzowDivisions of Hematology.
Rhett P KetterlingDivisions of Hematopathology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN.
Naseema GangatDivisions of Hematology.
Daniel A ArberUniversity of Chicago, Chicago, IL.
Attilio OraziDepartment of Pathology, Texas Tech University Health Sciences Center, El Paso, Texas.
Rong HeDivisions of Hematopathology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN.
Kaaren ReichardDivisions of Hematopathology, Departments of Medicine and Laboratory Medicine, Mayo Clinic, Rochester, MN.
Ayalew TefferiDivisions of Hematology. tefferi.ayalew@mayo.edu.
Mayo Clinic in Arizona · USTexas Tech University Health Sciences Center · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The revised 4th edition of the World Health Organization (WHO4R) classification lists myelodysplastic syndromes with ring sideroblasts (MDS-RS) as a separate entity with single lineage (MDS-RS-SLD) or multilineage (MDS-RS-MLD) dysplasia. The more recent International Consensus Classification (ICC) distinguishes between MDS with SF3B1 mutation (MDS-SF3B1) and MDS-RS without SF3B1 mutation; the latter is instead included under the category of MDS not otherwise specified. The current study includes 170 Mayo Clinic patients with WHO4R-defined MDS-RS, including MDS-RS-SLD (N=83) and MDS-RSMLD (N=87); a subset of 145 patients were also evaluable for the presence of SF3B1 and other mutations, including 126 with (87%) and 19 (13%) without SF3B1 mutation. Median overall survival for all 170 patients was 6.6 years with 5- and 10-year survival rates of 59% and 25%, respectively. A significant difference in overall survival was apparent between MDS-RS-MLD and MDS-RS-SLD (P<0.01) but not between MDS-RS with and without SF3B1 mutation (P=0.36). Multivariable analysis confirmed the independent prognostic contribution of MLD (hazard ratio=1.8, 95% confidence interval: 1.1-2.8; P=0.01) and also identified age (P<0.01), transfusion need at diagnosis (P<0.01), and abnormal karyotype (P<0.01), as additional risk factors; the impact from SF3B1 or other mutations was not significant. Leukemia-free survival was independently affected by abnormal karyotype (P<0.01), RUNX1 (P=0.02) and IDH1 (P=0.01) mutations, but not by MLD or SF3B1 mutation. Exclusion of patients not meeting ICC-criteria for MDS-SF3B1 did not change the observations on overall survival. MLD-based, as opposed to SF3B1 mutation-based, disease classification for MDS-RS might be prognostically more relevant.

Indexed as

Anemia, SideroblasticMutationMyelodysplastic SyndromesPhosphoproteinsRNA Splicing FactorsAdultAgedAged, 80 and overCell LineageFemaleHumansMaleMiddle AgedPrognosisRibonucleoprotein, U2 Small NuclearYoung AdultPhosphoproteinsRibonucleoprotein, U2 Small NuclearRNA Splicing FactorsSF3B1 protein, human

Identifiers

PMID38450522
PMCPMC11290503
OpenAlexW4392557076

What OpenQuestion holds

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LicenceCC BY-NC
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 OpenQuestion graph.