Evidence map›Paper›PMID 35651540›Full record

ArticleLeukemia research reports2022

Prognostic impact of immunophenotypic aberrancies of blasts in lower risk myelodysplastic syndrome.

Kristen Corrao, Siam Rezwan, Ehab Atallah, Laura C Michaelis, Lyndsey Runaas, Alexandra M Harrington, Sameem Abedin

Open access · goldAbstract read
In one paragraph

Article in Leukemia research reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Kristen CorraoDivision of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Siam RezwanDivision of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Ehab AtallahDivision of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Laura C MichaelisDivision of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Lyndsey RunaasDivision of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Alexandra M HarringtonDepartment of Pathology, Medical College of Wisconsin, Milwaukee, WI, United States.
Sameem AbedinDivision of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Medical College of Wisconsin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVE/

backgroundLow risk myelodysplastic syndrome (MDS) is a marrow failure state eventually leading to transfusion dependence. Flow cytometry has previously been demonstrated as prognostic tool in MDS, however not thoroughly studied in lower risk MDS. In this study, we assessed whether assessment for immunophenotypic blast aberrancies by flow in low risk MDS patients has a prognostic role in these patients.

methodsA total of 63 consecutive patients diagnosed with low/intermediate risk MDS were included. We recorded initial flow results, and collected time to transfusion dependence, and AML progression.

resultsOn multivariate cox regression analysis, increasing IPSS-R score, an increase in the number of blast aberrancies on flow cytometry, and aberrant expression of CD7 on myeloid blasts increased likelihood of transfusion dependence.

conclusionLow risk MDS patients with increasingly aberrant blast phenotypes by flow may be at risk for earlier transfusion dependence.

Indexed as

Flow cytometryLower-riskMyelodysplastic syndromesTransfusion dependence

Identifiers

PMID35651540
PMCPMC9150024
OpenAlexW4281559162

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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.