Evidence map›Paper›PMID 24324660›Full record

ArticlePloS one2013

Immunophenotyping in myelodysplastic syndromes can add prognostic information to well-established and new clinical scores.

Suiellen C Reis-Alves, Fabíola Traina, Guilherme Harada, Paula M Campos, Sara T O Saad, Konradin Metze, Irene Lorand-Metze

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Observational
  2. Article
  3. [Clinical and laboratory characteristics of juvenile myelomonocytic leukemia].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2018
    Article
  4. Comparison of Myelodysplastic Syndrome Prognostic Scoring Systems.Turkish journal of haematology : official journal of Turkish Society of Haematology · 2016
    Article
  5. Article
  6. Article
  7. Article
  8. MDS prognostic scoring systems – past, present, and future.Best practice & research. Clinical haematology · 2015
    Review
  9. Article
  10. Article
  11. Article
  12. Part 2: Myelodysplastic syndromes - classification systems.Hematology, transfusion and cell therapy
    Article
  13. 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

7 authors at 1 institution in 1 country.

Suiellen C Reis-AlvesHematology and Hemotherapy Center, University of Campinas - Campinas, Sao Paulo, Brazil.
Fabíola Traina
Guilherme Harada
Paula M Campos
Sara T O Saad
Konradin Metze
Irene Lorand-Metze
Universidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmyelodysplastic syndromes (MDS) are a heterogeneous group of hematopoietic clonal disorders. So, prognostic variables are important to separate patients with a similar biology and clinical outcome. We compared the importance of risk stratification in primary MDS of IPSS and WPSS with the just described revision of IPSS (IPSS-R), and examined if variables obtained by bone marrow immunophenotyping could add prognostic information to any of the scores.

methodsIn this prospective study of 101 cases of primary MDS we compared the relation of patients' overall survival with WHO types, IPSS, IPSS-R, WPSS and phenotypic abnormalities of hematopoietic precursors. We examined aberrancies in myelomonocytic precursors and CD34(+) cells. Patients were censored when receiving chemotherapy or BM transplantation. Survival analysis was made by Cox regressions and stability of the models was examined by bootstrap resampling.

resultsMEDIAN AGE: 64 years (15-93). WHO types: 2 cases of 5q- syndrome, 7 of RA, 64 of RCDM and 28 of RAEB. In the univariate Cox analysis, increasing risk category of all scores, degree of anemia, higher percentage of BM blasts, higher number of CD34(+) cells and their myeloid fractions besides increasing number of phenotypic abnormalities detected were significantly associated with a shorter survival. In the multivariate analysis comparing the three scores, IPSS-R was the only independent risk factor. Comparing WPSS with phenotypic variables (CD34(+)/CD13(+) cells, CD34(+)/CD13(-) cells and "total alterations") the score and "CD34(+)/CD13(+) cells" remained in the model. When IPSS was tested together with these phenotypic variables, only "CD34(+)/CD13(+) cells", and "total alterations" remained in the model. Testing IPSS-R with the phenotypic variables studied, only the score and "CD34(+)/CD13(+) cells" entered the model.

conclusionsImmunophenotypic analysis of myelomonocytic progenitors provides additional prognostic information to all clinical scores studied. IPSS-R improved risk stratification in MDS compared to the former scores.

Indexed as

ImmunophenotypingAdolescentAdultAgedAged, 80 and overAntigens, CD34Bone MarrowBone Marrow TransplantationCD13 AntigensFemaleHumansMaleMiddle AgedMyelodysplastic SyndromesProportional Hazards ModelsProspective StudiesAntigens, CD34CD13 Antigens

Identifiers

PMID24324660
PMCPMC3855682
OpenAlexW2032510843

What OpenQuestion holds

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LicenceCC BY
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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.