Evidence map›Paper›PMID 41848210›Full record

ArticleJournal of clinical laboratory analysis2026

The Application Value of Flow Cytometry-Based Peripheral Blood Leukocyte Classification in Screening for Acute Leukemia and Posttreatment Monitoring.

Penghua Yan, Lianfeng Wu, Xiangyang Lin, Hong Lu, Jingjing Qian

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Penghua YanDepartment of Clinical Laboratory, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Lianfeng WuDepartment of Clinical Laboratory, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Xiangyang LinDepartment of Clinical Laboratory, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hong LuDepartment of Clinical Laboratory, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jingjing QianDepartment of Clinical Laboratory, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.

Funding

Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province 2022E10022Science and Technology Plan Project of Wenzhou Municipality Y2020750
6 · The paper itself

Abstract

objectiveAssess the application value of flow cytometry (FCM) for peripheral blood leukocyte (PBL) classification in acute leukemia (AL) screening and monitoring.

methodsAnalyzed EDTA-K2-anticoagulated blood from 100 nonhematological patients, 42 newly diagnosed AL patients, and 50 posttreatment leukemia patients using FCM, blood cell analyzers (BCA), and manual microscopy.

resultsFCM and BCA showed significant positive correlations in classifying and counting neutrophils, eosinophils, basophils, lymphocytes, and monocytes (r = 0.994, 0.671, 0.946, 0.987, and 0.849, respectively; p < 0.01). A significant positive correlation was observed between FCM and manual methods in counting blast cells (r = 0.882, p < 0.01). Using microscopy as the reference standard and a cutoff value of ≥ 1% blast cells, FCM demonstrated 100% sensitivity, 85.7% specificity, and 97.8% accuracy in detecting blast cells. The type of peripheral blood blast cells provided by FCM showed good consistency with the clinical diagnosis of leukemia (Kappa value = 0.834). Additionally, a positive correlation was found between the detection rates of bone marrow and peripheral blood blast cells using FCM in posttreatment patients with leukemia (rs = 0.860, p < 0.01).

conclusionFCM-based PBL classification is precise and efficient for detecting blasts, providing rapid subtype identification. Its strong correlation with marrow findings underscores its clinical utility in AL screening and monitoring.

Indexed as

Flow CytometryLeukemiaLeukocytesAdolescentAdultAgedFemaleHumansLeukocyte CountMaleMiddle AgedSensitivity and SpecificityYoung Adultacute leukemiaflow cytometryperipheral blood leukocyte classificationscreening and monitoring

Identifiers

PMID41848210
PMCPMC13163947

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.