Evidence map›Paper›PMID 42699297›Full record

ArticleJournal of blood medicine2026

Role of Gray Scattergram in Detecting Blasts Compared with Microscopic Peripheral Smear in Acute Leukemia Patients.

Novi Rostikasari, Leni Lismayanti, Adhi Kristianto Sugianli, Tiene Rostini

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Novi RostikasariDepartment of Clinical Pathology, Faculty of Medicine Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.ORCID 0000-0002-3011-9219
Leni LismayantiDepartment of Clinical Pathology, Faculty of Medicine Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.ORCID 0000-0003-4892-6593
Adhi Kristianto SugianliDepartment of Clinical Pathology, Faculty of Medicine Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.ORCID 0000-0002-2898-6719
Tiene RostiniDepartment of Clinical Pathology, Faculty of Medicine Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.ORCID 0000-0003-0288-5546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Early and accurate diagnosis of acute leukemia is essential for timely treatment and improved patient outcomes. Gray scattergram patterns generated by hematology analyzers may indicate the presence of blasts and serve as an early screening tool. This study evaluated the correlation and agreement between gray scattergram findings and microscopic detection of blasts on peripheral blood smears in newly diagnosed acute leukemia patients. Patients and Methods: This retrospective cross-sectional study used secondary data from inpatients with acute leukemia treated at Dr. Hasan Sadikin General Hospital between April 2024 and March 2025. Diagnoses were identified using ICD-10 codes for acute lymphoblastic leukemia and acute myeloid leukemia. Eligible patients had complete hematological data at diagnosis, including complete blood count and peripheral blood smear results. Collected variables included demographic characteristics, hematological parameters, peripheral blood blast percentage, analyzer-generated flags, and scattergram findings. Leukocyte differential counts and blast percentages were validated by manual microscopic examination. Scattergram findings were classified as gray or non-gray, with gray defined by the presence of ≥35.5% blasts. Agreement between gray scattergram findings and microscopic blast detection was analyzed using Cohen's kappa statistic. However, the moderate level of agreement indicates that gray scattergram findings should be interpreted cautiously and require confirmation by microscopic examination. Results: A total of 106 patients were included. Gray scattergram findings were observed in 66 patients, of whom 52 (83.9%) had ≥35.5% blasts on microscopic examination. Among non-gray scattergram cases, 10 patients (16.1%) also showed blast counts ≥35.5%. Agreement between gray scattergram findings and microscopic blast identification was moderate (κ=0.527, p<0.001). Conclusion: Gray scattergrams may provide early indications of blast presence and serve as a supportive screening tool in suspected acute leukemia. However, confirmation by peripheral blood smear or bone marrow examination remains necessary in clinical settings.

Indexed as

acute leukemiablastsCohen’s kappagray scattergramhematology analyzers

Identifiers

PMID42699297
PMCPMC13544361

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