Evidence map›Paper›PMID 28111463›Full record

ArticleLeukemia2017

Comparison of clinical outcomes and prognostic utility of risk stratification tools in patients with therapy-related vs de novo myelodysplastic syndromes: a report on behalf of the MDS Clinical Research Consortium.

A M Zeidan, N Al Ali, J Barnard, E Padron, J E Lancet, M A Sekeres, D P Steensma, A DeZern, G Roboz, E Jabbour and 3 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Leukemia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Trial
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  9. Article
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  12. Article
  13. De Novo and Therapy-Related Myelodysplastic Syndromes: Analogies and Differences.Mediterranean journal of hematology and infectious diseases · 2022
    Review
  14. Review
  15. Lower risk but high risk.Hematology. American Society of Hematology. Education Program · 2021
    Review
  16. Article
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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

13 authors.

A M ZeidanSection of Hematology, Department of Internal Medicine, Yale University, and Yale Comprehensive Cancer Center, New Haven, CT, USA.
N Al AliDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
J BarnardDepartment of Hematology and Medical Oncology, Leukemia Program, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0003-2403-8268
E PadronDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
J E LancetDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
M A SekeresDepartment of Hematology and Medical Oncology, Leukemia Program, Cleveland Clinic, Cleveland, OH, USA.
D P SteensmaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
A DeZernDepartment of Medicine, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD, USA.
G RobozDepartment of Medicine, Division of Hematology and Oncology, Weill Medical College of Cornell University, New York, NY, USA.
E JabbourDepartment of Leukemia, MD Anderson Cancer Center, Houston, TX, USA.
G Garcia-ManeroDepartment of Leukemia, MD Anderson Cancer Center, Houston, TX, USA.
A ListDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
R KomrokjiDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While therapy-related (t)-myelodysplastic syndromes (MDS) have worse outcomes than de novo MDS (d-MDS), some t-MDS patients have an indolent course. Most MDS prognostic models excluded t-MDS patients during development. The performances of the International Prognostic Scoring System (IPSS), revised IPSS (IPSS-R), MD Anderson Global Prognostic System (MPSS), WHO Prognostic Scoring System (WPSS) and t-MDS Prognostic System (TPSS) were compared among patients with t-MDS. Akaike information criteria (AIC) assessed the relative goodness of fit of the models. We identified 370 t-MDS patients (19%) among 1950 MDS patients. Prior therapy included chemotherapy alone (48%), chemoradiation (31%), and radiation alone in 21%. Median survival for t-MDS patients was significantly shorter than for d-MDS (19 vs 46 months, P<0.005). All models discriminated survival in t-MDS (P<0.005 for each model). Patients with t-MDS had a significantly higher hazard of death relative to d-MDS in every risk model, and had inferior survival compared to patients with d-MDS within all risk group categories. AIC Scores (lower is better) were 2316 (MPSS), 2343 (TPSS), 2343 (IPSS-R), 2361 (WPSS) and 2364 (IPSS). In conclusion, subsets of t-MDS patients with varying clinical outcomes can be identified using conventional risk stratification models. The MPSS, TPSS and IPSS-R provide the best predictive power.

Indexed as

Biomedical ResearchCombined Modality TherapyFemaleFollow-Up StudiesHumansMaleMiddle AgedMyelodysplastic SyndromesNeoplasm StagingPrognosisRisk AssessmentRisk FactorsSurvival Rate

Identifiers

PMID28111463

What OpenQuestion holds

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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.