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ArticleIndian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion2022

Usefulness of Leucocyte Cell Population Data by Sysmex XN1000 Hematology Analyzer in Rapid Identification of Acute Leukemia.

Shruti Mishra, Gaurav Chhabra, Somanath Padhi, Sonali Mohapatra, Ashutosh Panigrahi, Mukund Namdev Sable, Prabodha Kumar Das

Registry-linked trialAbstract read
In one paragraph

Article in Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06753279 (Clinical Significance of Leukocyte Cell Population Data in Patients With Myeloproliferative Neoplasms), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT06753279 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Clinical Significance of Leukocyte Cell Population Data in Patients With Myeloproliferative Neoplasms (MPNs)

TypeobservationalSponsorAssiut UniversityRan2025 to 2026Enrolled80ConditionsMyeloproliferative Neoplasms (MPNs)
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
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

7 authors.

Shruti MishraDepartment of Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.
Gaurav ChhabraDepartment of Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.ORCID 0000-0002-8656-1954
Somanath PadhiDepartment of Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.
Sonali MohapatraDepartment of Medical Oncology/Hematology, All India Institute of Medical Sciences, Bhubaneswar, India.
Ashutosh PanigrahiDepartment of Medical Oncology/Hematology, All India Institute of Medical Sciences, Bhubaneswar, India.
Mukund Namdev SableDepartment of Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.
Prabodha Kumar DasDepartment of Medical Oncology/Hematology, All India Institute of Medical Sciences, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leukocyte cell population data (CPD) generated by hematology auto analyzers are reported to be useful in screening of sepsis patients. However, there is a paucity of literature highlighting the utility of CPD in screening of acute leukemias (AL). Leucocyte CPD obtained by Sysmex XN1000 hematology analyzer from 210 cases of ALs [22 acute promyelocytic leukemia (APL), 79 non-APL acute myeloid leukemia (non-APL-AML) and 109 acute lymphoblastic leukemia (ALL)] were compared with 100 healthy and 52 reactive controls. Receiver operator curves were drawn to determine the cut-off values of individual parameters. The regression equations combining the best parameters were then formulated to calculate a cut-off value for discrimination among AL subgroups and controls. Acute leukemias showed significant differences ( Supplementary Information: The online version contains supplementary material available at 10.1007/s12288-021-01488-9.

Indexed as

Acute leukemiaAutomated hematology analyzersCPDSysmex XN 1000

Identifiers

PMID35747581
PMCPMC9209545

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