Evidence map›Paper›PMID 28293405›Full record

ReviewMediterranean journal of hematology and infectious diseases2017

Diagnostic Utility of Flow Cytometry in Myelodysplastic Syndromes.

Matteo G Della Porta, Cristina Picone

Open access · goldAbstract readReview
In one paragraph

Review in Mediterranean journal of hematology and infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. De Novo and Therapy-Related Myelodysplastic Syndromes: Analogies and Differences.Mediterranean journal of hematology and infectious diseases · 2022
    Review
  3. Article
  4. [Clinical and laboratory characteristics of juvenile myelomonocytic leukemia].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2018
    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

2 authors at 1 institution in 1 country.

Matteo G Della PortaCancer Center, Humanitas Research Hospital & Humanitas University, Rozzano - Milan, Italy.
Cristina PiconeDepartment of Hematology Oncology, Fondazione IRCCS Policlinico San Matteo, Pavia Italy.
Humanitas University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathological hallmark of myelodysplastic syndromes (MDS) is marrow dysplasia, which represents the basis of the WHO classification of these disorders. This classification provides clinicians with a useful tool for defining the different subtypes of MDS and individual prognosis. The WHO proposal has raised some concern regarding minimal diagnostic criteria particularly in patients with normal karyotype without robust morphological markers of dysplasia (such as ring sideroblasts or excess of blasts). Therefore, there is clearly need to refine the accuracy to detect marrow dysplasia. Flow cytometry (FCM) immunophenotyping has been proposed as a tool to improve the evaluation of marrow dysplasia. The rationale for the application of FCM in the diagnostic work up of MDS is that immunophenotyping is an accurate method for quantitative and qualitative evaluation of hematopoietic cells and that MDS have been found to have abnormal expression of several cellular antigens. To become applicable in clinical practice, FCM analysis should be based on parameters with sufficient specificity and sensitivity, data should be reproducible between different operators, and the results should be easily understood by clinicians. In this review, we discuss the most relevant progresses in detection of marrow dysplasia by FCM in MDS.

Indexed as

Diagnostic ToolsFlow CytometryMyelodysplastic Syndrome

Identifiers

PMID28293405
PMCPMC5333741
OpenAlexW2588667105

What OpenQuestion holds

Textmetadata
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.