Evidence map›Paper›PMID 42563366›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

Diagnostic Concordance and Superiority of Flow Cytometry Over Immunohistochemistry in Acute Leukemia Immunophenotyping: A Single-Center Study.

Gülçin Dağlıoğlu, Tuğba Toyran, Özlem Görüroğlu Öztürk, Hülya Binokay, Filiz Kibar, Salih Çetiner, Tuğba Polat Türkmen, Emel Gürkan, Hatice İlgen Şaşmaz, Funda Tanrıkulu and 4 more

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 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

14 authors.

Gülçin DağlıoğluDepartment of Medical Biochemistry, Çukurova University Faculty of Medicine, Adana, Turkey.ORCID 0000-0003-2454-3723
Tuğba ToyranDepartment of Medical Pathology, Çukurova University Faculty of Medicine, Adana, Turkey.ORCID 0000-0001-9135-0265
Özlem Görüroğlu ÖztürkDepartment of Medical Biochemistry, Çukurova University Faculty of Medicine, Adana, Turkey.
Hülya BinokayDepartment of Biostatistics, Çukurova University Faculty of Medicine, Adana, Turkey.ORCID 0000-0002-0162-4574
Filiz KibarDepartment of Medical Microbiology, Çukurova University Faculty of Medicine, Adana, Turkey.
Salih ÇetinerCentral Laboratory of Çukurova University Faculty of Medicine, Adana, Turkey.
Tuğba Polat TürkmenDepartment of Medical Biochemistry, Çukurova University Faculty of Medicine, Adana, Turkey.
Emel GürkanDepartment of Internal Medicine, Çukurova University Faculty of Medicine, Adana, Turkey.ORCID 0000-0002-3060-4054
Hatice İlgen ŞaşmazDepartment of Pediatric Hematology, Çukurova University Faculty of Medicine, Adana, Turkey.
Funda TanrıkuluDepartment of Internal Medicine, Çukurova University Faculty of Medicine, Adana, Turkey.
Ayşe ÖzkanDepartment of Pediatric Oncology, Çukurova University Faculty of Medicine, Adana, Turkey.
Melek ErginDepartment of Medical Pathology, Çukurova University Faculty of Medicine, Adana, Turkey.
Meryem ŞenerDepartment of Internal Medicine, Çukurova University Faculty of Medicine, Adana, Turkey.
Tamer Cevat İnalDepartment of Medical Biochemistry, Çukurova University Faculty of Medicine, Adana, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Early diagnosis is crucial for effective treatment and management of acute leukemia. Flow cytometry (FC) is a fast and reliable immunophenotyping technique. This study aimed to compare the diagnostic agreement between FC and histopathological evaluation using shared parameters from bone marrow samples. MATERIAL AND METHODS A total of 144 patients presenting to Adult Hematology, Pediatric Hematology, and Pediatric Oncology clinics at Çukurova University Faculty of Medicine were enrolled; bone marrow samples were processed at the Central Laboratory FC Unit. The cohort included 70 patients with acute myeloid leukemia, 59 with B-cell acute lymphoblastic leukemia, and 15 with T-cell acute lymphoblastic leukemia. The chi-square test, Cohen's kappa, adjusted kappa coefficient, sensitivity, specificity, and accuracy were used to assess FC-IHC concordance. RESULTS The concordance between FC and immunohistochemistry (IHC) was 82.6% for AML (P>0.999, PABAK=0.99) and 61.0% for B-ALL (P=0.054, PABAK=0.89). FC achieved 95% sensitivity for AML and 100% for B-ALL. CD33, MPO, and CD117 showed significant concordance in AML, with sensitivities of 94%, 91%, and 90%, respectively. CD34 was the top-performing biomarker for AML, with 93% sensitivity and 95% specificity. For B-ALL, TdT, CD33, and CD34 showed sensitivities of 77%, 75%, and 81%, respectively. CONCLUSIONS FC showed higher concordance with IHC in AML than in B-ALL and better diagnostic sensitivity for leukemic lineage classification. CD33, MPO, and CD117 were strong AML markers, while TdT, CD33, and CD34 were effective for B-ALL. To quantitatively analyze marker expression with high sensitivity, precise lineage differentiation, and a quick turnaround time, same-day reporting and rapid initiation of targeted therapy make FC essential in modern hematopathology.

Indexed as

Flow CytometryImmunohistochemistryImmunophenotypingLeukemia, Myeloid, AcuteAdolescentAdultBone MarrowChildChild, PreschoolFemaleHumansMaleMiddle AgedPrecursor Cell Lymphoblastic Leukemia-LymphomaSensitivity and SpecificityYoung Adult

Identifiers

PMID42563366
PMCPMC13463803

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.