Evidence map›Paper›PMID 41659287›Full record

ArticleEJIFCC2026

Intra-and Inter-Analyzer Imprecision of Cell Population Data on Sysmex XN-10.

Marco Tosi, Laura Pighi, Mariateresa Rizza, Gian Luca Salvagno, Giuseppe Lippi

Abstract read
In one paragraph

Article in EJIFCC, 2026. 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

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

2 citing papers in PubMed.

  1. A CBC drawn postnatally from umbilical cord blood can provide valuable diagnostic information for infants admitted to the NICU.Journal of perinatology : official journal of the California Perinatal Association · 2026
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  2. 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

5 authors.

Marco TosiSection of Clinical Biochemistry, University of Verona, Verona, Italy.
Laura PighiSection of Clinical Biochemistry, University of Verona, Verona, Italy.
Mariateresa RizzaSection of Clinical Biochemistry, University of Verona, Verona, Italy.
Gian Luca SalvagnoSection of Clinical Biochemistry, University of Verona, Verona, Italy.
Giuseppe LippiSection of Clinical Biochemistry, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cell population data (CPD) derived from modern hematology analyzers provide morphological and functional insights into leukocytes beyond traditional cell counts. Nevertheless, their introduction into clinical practice requires proven analytical precision and consistency across instrumentation. Method: Two K2EDTA blood samples (one from a healthy blood donor and one from an intensive care unit patient) were analyzed in ten replicates on two Sysmex XN-10 analyzers. Intra- and inter-analyzer imprecision were calculated as coefficients of variation (CV%). Results: Intra-analyzer CV% ranged from 0.2-7.9% and inter-analyzer CV% from 0.6-9.8%. For neutrophil, lymphocyte, and monocyte CPD parameters, intra-/inter-analyzer CV% were 0.2-2.5%/0.6-7.0%, 0.5-6.6%/0.7-7.2%, and 0.2-7.9%/0.8-9.8%, respectively. The mostly used CPD parameters NE-SFL (neutrophil fluorescence intensity) and MO-X (monocyte complexity) displayed very low imprecision, with intra-analyzer CV% of 0.7-0.9% and 0.2-0.5%, and inter-analyzer CV% of 0.9-1.1% and 0.8-1.7%, respectively. Discussion: Our results confirm excellent reproducibility of Sysmex XN-10 CPD, consistent with or even improving upon earlier data obtained with the previous Sysmex XN-9000. The very low intra- and inter-analyzer variability of NE-SFL and MO-X supports their use as reliable clinical parameters, especially for infection and sepsis diagnostics.

Indexed as

Cell population dataImprecisionRepeatability

Identifiers

PMID41659287
PMCPMC12882073

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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.