Evidence map›Paper›PMID 30430776›Full record

ArticleAnnals of laboratory medicine2019

Development of a Novel Flow Cytometry-Based System for White Blood Cell Differential Counts: 10-color LeukoDiff.

Dongjin Park, Jiyoung Chang, Jimin Kahng, Hunhee Park, Irene Jo, Yonggoo Kim, Kyungja Han

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Annals of laboratory medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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 2 institutions in 1 country.

Dongjin ParkDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jiyoung ChangDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jimin KahngDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hunhee ParkDepartment of Clinical Laboratory Science, Ansan University, Ansan, Korea.
Irene JoDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yonggoo KimDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Kyungja HanDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea. hankja@catholic.ac.kr.ORCID https://orcid.org/0000-0003-4960-3403
Catholic University of Korea · KRAnsan University · KR

Funding

Ministry of Trade, Industry and Energy 10049771
6 · The paper itself

Abstract

backgroundFlow cytometry (FCM) is commonly used to identify many cell populations. We developed a white blood cell (WBC) differential counting system for detecting abnormal cells using FCM incorporating 10 colors and 11 antibodies in a single tube, called "10-color LeukoDiff," and evaluated its performance.

methodsNinety-one EDTA-anti-coagulated peripheral blood samples from 76 patients were analyzed using 10-color LeukoDiff. We compared 10 color LeukoDiff results with the results of manual differential count (manual diff). WBCs were classified into 17 cell populations: neutrophils, total lymphocytes, T lymphocytes, B lymphocytes, CD5 and CD19 co-expressing lymphocytes, natural killer cells, total monocytes, 16+ monocytes, eosinophils, immature granulocytes, basophils, myeloblasts, B-blasts, T-blasts, myeloid antigen-positive B-blasts, CD19- plasma cells, and 19+ plasma cells.

resultsThe correlations between the 10-color LeukoDiff and manual diff results were strong (r>0.9) for mature neutrophils, lymphocytes, eosinophils, immature granulocytes, and blasts and moderate for monocytes and basophils (r=0.86 and 0.74, respectively). There was no discrepancy in blast detection between 10-color LeukoDiff and manual diff results. Furthermore, 10-color LeukoDiff could differentiate the lineage of the blasts and separately count chronic lymphocytic leukemic cells and multiple myeloma cells.

conclusionsThe 10-color LeukoDiff provided an accurate and comprehensive WBC differential count. The most important ability of 10-color LeukoDiff is to detect blasts accurately. This system is clinically useful, especially for patients with hematologic diseases, such as acute leukemia, chronic lymphocytic leukemia, and multiple myeloma. Application of this system will improve the development of FCM gating strategy designs.

Indexed as

Flow CytometryAdolescentAdultAgedAutomationColorFemaleHumansLeukemia, Myeloid, AcuteLeukocyte CountLeukocytesMaleMiddle AgedYoung Adult10-color LeukoDiffBlastsFlow cytometryImmature granulocytesManual differential count

Identifiers

PMID30430776
PMCPMC6240530
OpenAlexW2901704717

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.