Evidence map›Paper›PMID 32009323›Full record

ArticleAllergy, asthma & immunology research2020

Flow Cytometry for the Diagnosis of Primary Immunodeficiency Diseases: A Single Center Experience.

Won Kyung Kwon, SooIn Choi, Hee Jin Kim, Hee Jae Huh, Ji Man Kang, Yae Jean Kim, Keon Hee Yoo, Kangmo Ahn, Hye Kyung Cho, Kyong Ran Peck and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Allergy, asthma & immunology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Optimizing limited antibody panels for efficient hematological disorders diagnosis by flow cytometry in resource-constrained setting.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

13 authors at 5 institutions in 1 country.

Won Kyung KwonDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-7676-5814
SooIn ChoiDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0003-4746-4809
Hee Jin KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0003-3741-4613
Hee Jae HuhDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0001-8999-7561
Ji Man KangDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-0678-4964
Yae Jean KimDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-8367-3424
Keon Hee YooDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-5980-7912
Kangmo AhnDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0001-7751-9829
Hye Kyung ChoDepartment of Pediatrics, Gachon University Gil Medical Center, Incheon, Korea.ORCID 0000-0003-0990-1350
Kyong Ran PeckDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-7464-9780
Ja Hyun JangDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0003-0516-4947
Chang Seok KiGreen Cross Genome, Yongin, Korea.ORCID 0000-0001-7679-8731
Eun Suk KangDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. eskang@skku.edu.ORCID 0000-0001-6386-6520
Samsung Medical Center · KRGreen Cross (South Korea) · KRGachon University Gil Medical Center · KRSoonchunhyang University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhile there is an urgent need for diagnosis and therapeutic intervention in patients with primary immunodeficiency diseases (PIDs), current genetic tests have drawbacks. We retrospectively reviewed the usefulness of flow cytometry (FCM) as a quick tool for immunophenotyping and functional assays in patients suspected to have PIDs at a single tertiary care institute.

methodsBetween January 2001 and June 2018, patients suspected of having PIDs were subjected to FCM tests, including lymphocyte subset analysis, detection of surface- or intracellular-target proteins, and functional analysis of immune cells, at Samsung Medical Center, Seoul, Korea. The genetic diagnosis was performed using Sanger or diagnostic exome sequencing.

resultsOf 60 patients diagnosed with definite or probable PID according to the European Society of Immune Deficiencies criteria, 24 patients were provided with useful information about immunological dysfunction after initial FCM testing. In 10 patients, the PID diagnosis was based on abnormal findings in FCM testing without genetic tests. The FCM findings provided strong evidence for the diagnosis of severe combined immunodeficiency (n = 6), X-linked chronic granulomatous diseases (CGD) (n = 6), leukocyte adhesion deficiency type 1 (n = 3), X-linked agammaglobulinemia (n = 11), autoimmune lymphoproliferative syndrome-FASLG (n = 1), and familial hemophagocytic lymphohistiocytosis type 2 (n = 1), and probable evidence for autosomal recessive-CGD (n = 2), autosomal dominant-hyper-immunoglobulin E (IgE)-syndrome (n = 1), and

conclusionsThe initial application of FCM, particularly with known protein targets on immune cells, would facilitate the timely diagnosis of PIDs and thus would support clinical decisions and improve the clinical outcome.

Indexed as

diagnosisflow cytometrygenetic testingphenotypePrimary immunodeficiency

Identifiers

PMID32009323
PMCPMC6997278
OpenAlexW3001570485

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.