Evidence map›Paper›PMID 27446807›Full record

ReviewFrontiers in oncology2016

Diagnostic Utility of Flow Cytometry in Myelodysplastic Syndromes.

Carmen Mariana Aanei, Tiphanie Picot, Emmanuelle Tavernier, Denis Guyotat, Lydia Campos Catafal

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 39 citations in OpenAlex.

  1. The Prognostic Value of the CD8Hematology reports · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. OMIP-049: Analysis of Human Myelopoiesis and Myeloid Neoplasms.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Article
  10. Review
  11. Review
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

5 authors at 2 institutions in 1 country.

Carmen Mariana AaneiCNRS UMR5239, Université de Lyon, Saint-Etienne, France; Laboratoire d'Hématologie, CHU de Saint-Etienne, Saint-Etienne, France.
Tiphanie PicotCNRS UMR5239, Université de Lyon, Saint-Etienne, France; Laboratoire d'Hématologie, CHU de Saint-Etienne, Saint-Etienne, France.
Emmanuelle TavernierCNRS UMR5239, Université de Lyon, Saint-Etienne, France; Institut de Cancérologie Lucien Neuwirth, Saint Priest en Jarez, France.
Denis GuyotatCNRS UMR5239, Université de Lyon, Saint-Etienne, France; Institut de Cancérologie Lucien Neuwirth, Saint Priest en Jarez, France.
Lydia Campos CatafalCNRS UMR5239, Université de Lyon, Saint-Etienne, France; Laboratoire d'Hématologie, CHU de Saint-Etienne, Saint-Etienne, France.
Université Claude Bernard Lyon 1 · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myelodysplastic syndromes (MDSs) are clonal disorders of hematopoiesis that exhibit heterogeneous clinical presentation and morphological findings, which complicates diagnosis, especially in early stages. Recently, refined definitions and standards in the diagnosis and treatment of MDS were proposed, but numerous questions remain. Multiparameter flow cytometry (MFC) is a helpful tool for the diagnostic workup of patients with suspected MDS, and various scores using MFC data have been developed. However, none of these methods have achieved the sensitivity that is required for a reassuring diagnosis in the absence of morphological abnormalities. One reason may be that each score evaluates one or two lineages without offering a broad view of the dysplastic process. The combination of two scores (e.g., Ogata and Red Score) improved the sensitivity from 50-60 to 88%, but the positive (PPV) and negative predictive values (NPV) must be improved. There are prominent differences between study groups when these scores are tested. Further research is needed to maximize the sensitivity of flow cytometric analysis in MDS. This review focuses on the application of flow cytometry for MDS diagnosis and discusses the advantages and limitations of different approaches.

Indexed as

FCSS scoresmyelodysplastic syndromesmyeloid maturation patternsphenotypic aberrancies related to dysplasiaprognostic value of immunophenotypic scores

Identifiers

PMID27446807
PMCPMC4921489
OpenAlexW2461710372

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.