ArticleBlood advances2023
Utility of targeted gene sequencing to differentiate myeloid malignancies from other cytopenic conditions.
Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02775383 (The National Myelodysplastic Syndromes Natural History Study), which is not on this map. Cited by 5 papers.
What it found
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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.
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.
The National Myelodysplastic Syndromes Natural History Study
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Clinical, Genetic, and Pathologic Variability in Myelodysplastic Syndromes and Precursor Conditions Across Race, Ethnicity, and Sex.American journal of hematology · 2026Observational
- A novel approach to defining progression in MDS and precursor myeloid conditions in the MDS Natural History Study.Blood advances · 2026Observational
- Genome sequencing in the management of myelodysplastic syndromes and related disorders.Haematologica · 2025Review
- Correlation between peripheral blood and bone marrow mutations among patients with MDS from the National MDS Study.Blood neoplasia · 2024Article
- Discordant pathologic diagnoses of myelodysplastic neoplasms and their implications for registries and therapies.Blood advances · 2023Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors at 13 institutions in 1 country.
Funding
Abstract
The National Heart, Lung, and Blood Institute-funded National MDS Natural History Study (NCT02775383) is a prospective cohort study enrolling patients with cytopenia with suspected myelodysplastic syndromes (MDS) to evaluate factors associated with disease. Here, we sequenced 53 genes in bone marrow samples harvested from 1298 patients diagnosed with myeloid malignancy, including MDS and non-MDS myeloid malignancy or alternative marrow conditions with cytopenia based on concordance between independent histopathologic reviews (local, centralized, and tertiary to adjudicate disagreements when needed). We developed a novel 2-stage diagnostic classifier based on mutational profiles in 18 of 53 sequenced genes that were sufficient to best predict a diagnosis of myeloid malignancy and among those with a predicted myeloid malignancy, predict whether they had MDS. The classifier achieved a positive predictive value (PPV) of 0.84 and negative predictive value (NPV) of 0.8 with an area under the receiver operating characteristic curve (AUROC) of 0.85 when classifying patients as having myeloid vs no myeloid malignancy based on variant allele frequencies (VAFs) in 17 genes and a PPV of 0.71 and NPV of 0.64 with an AUROC of 0.73 when classifying patients as having MDS vs non-MDS malignancy based on VAFs in 10 genes. We next assessed how this approach could complement histopathology to improve diagnostic accuracy. For 99 of 139 (71%) patients (PPV of 0.83 and NPV of 0.65) with local and centralized histopathologic disagreement in myeloid vs no myeloid malignancy, the classifier-predicted diagnosis agreed with the tertiary pathology review (considered the internal gold standard).
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Registered trials
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.