Evidence map›Paper›PMID 18629843›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2008

Generation of flow cytometry data files with a potentially infinite number of dimensions.

Carlos E Pedreira, Elaine S Costa, Susana Barrena, Quentin Lecrevisse, Julia Almeida, Jacques J M van Dongen, Alberto Orfao, EuroFlow Consortium

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Cancers · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Carlos E PedreiraFaculty of Medicine and COPPE, Engineering Graduate Program, UFRJ/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Elaine S Costa
Susana Barrena
Quentin Lecrevisse
Julia Almeida
Jacques J M van Dongen
Alberto Orfao
EuroFlow Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunophenotypic characterization of B-cell chronic lymphoproliferative disorders (B-CLPD) is associated with the use of increasingly larger panels of multiple combinations of 3 to > or =6 monoclonal antibodies (Mab), data analysis being separately performed for each of the different stained sample aliquots. Here, we describe and validate an automated method for calculation of flow cytometric data from several multicolor stainings of the same cell sample--i.e., the merging of data from different aliquots stained with partially overlapping combinations of Mab reagents (focusing on > or =1 cell populations)--into one data file as if it concerned a single "super" multicolor staining. Evaluation of the performance of the method described was done in a group of 60 B-CLPD studied at diagnosis with 18 different reagents in a panel containing six different 3- and 4-color stainings, which systematically contained CD19 for the identification of B-cells. Our results show a high degree of correlation and agreement between originally measured and calculated data about cell surface stainings, providing a basis for the use of this approach for the generation of flow cytometric data files containing information about a virtually infinite number of stainings for each individual cellular event measured in a sample, using a limited number of fluorochrome stainings.

Indexed as

AdultAgedAged, 80 and overAntibodies, MonoclonalAntigens, SurfaceBiomarkersB-LymphocytesBone MarrowChronic DiseaseElectronic Data ProcessingFemaleFlow CytometryHumansImmunophenotypingLeukemia, B-CellMaleAntibodies, MonoclonalAntigens, SurfaceBiomarkers

Identifiers

PMID18629843

What OpenQuestion holds

Textmetadata
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.