Evidence map›Paper›PMID 29266369›Full record

ArticleJournal of clinical laboratory analysis2018

Correlation between the cell population in the automated hematology analyzer high-fluorescence region and atypical lymphocyte flags.

Hongjie Xie, Yue Wu, Wei Cui

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

3 authors.

Hongjie XieDepartment of Clinical Laboratory, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Yue WuDepartment of Clinical Laboratory, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Wei CuiDepartment of Clinical Laboratory, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDuring routine blood measurements using an automated hematology analyzer, two easily confused types of suspect flags related to lymphocytes often appear: atypical and immature lymphocytes. The aim of this study was to investigate the correlation of high fluorescence cell (HFC) parameter and lymphocyte flags determined from an automated hematology analyzer.

methodsA total of 93 patients affected by various pathologic conditions (viral infection, immunological disease, oncological disease and tumor) were divided into an "atypical lymphocytes" group ("atypical" for short), an "immature lymphocytes/blasts" flag group (abnormal), a mixed-flag group that includes "atypical lymphocytes" (mixed), and a non-flag group (non-flag).

resultsThe numbers of HFCs in the atypical, abnormal, mixed, and non-flag groups were 1.8% (0.9%-5.5%), 0.7% (0.1%-5.0%), 2.3% (1.2%-5.0%), and 0.8% (0.7%-1.2%), respectively. The HFCs of "atypical" appeared as a separate cluster with clear boundaries. The HFCs of "abnormal" as an unclear boundaries, and it was difficult to accurately distinguish between the HFCs from the immature lymphocytes and the normal lymphocytes. The lower limit of HFC when the atypical lymphocyte flag appeared was 0.04 × 10

conclusionIt demonstrates that HFCs reflects atypical lymphocytes better than immature lymphocytes/blasts.

Indexed as

Antigens, CDDiagnosis, Computer-AssistedFemaleHematologyHumansImmune System DiseasesLeukocyte CountLymphocyte CountLymphocytesMaleNeoplasmsReference ValuesRetrospective StudiesROC CurveStatistics as TopicVirus DiseasesAntigens, CDatypical lymphocytesautomated hematology analyzerhigh fluorescence cellimmature lymphocytes/blasts

Identifiers

PMID29266369
PMCPMC6817225

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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.