Evidence map›Paper›PMID 40183109›Full record

ArticleAfrican journal of laboratory medicine2025

Pseudomonocytosis on a Sysmex XN haematology analyser masking the monocytopenia of hairy cell leukaemia in a South African woman.

Stephanie J Kennedy, Anne-Cecilia van Marle

Abstract readCase Reports
In one paragraph

Article in African journal of laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Stephanie J KennedyDepartment of Haematology and Cell Biology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0001-6231-5460
Anne-Cecilia van MarleDepartment of Haematology and Cell Biology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-6569-4061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hairy cell leukaemia (HCL) is a rare B-cell lymphoproliferative disorder characterised by medium-sized villous lymphocytes ('hairy cells') and monocytopenia in the peripheral blood. Automated full blood count (FBC) haematology analysers may spuriously count 'hairy cells' as monocytes, resulting in pseudomonocytosis. Case presentation: A 72-year-old woman presented with symptomatic anaemia and massive splenomegaly to a regional hospital in North West province, South Africa, in June 2023. An FBC and differential count, performed on a Sysmex XN-series haematology analyser, revealed a monocytosis of 42.82 × 10 Management and outcome: The patient was referred to a tertiary hospital where bone marrow morphology and a Conclusion: Here, we report a case of HCL where a Sysmex XN-series artifactually counted 'hairy cells' as monocytes, masking the characteristic monocytopenia. With the recent introduction of Sysmex XN-series FBC haematology analysers (Sysmex Corporation, Kobe, Japan) in National Health Laboratory Service laboratories across South Africa, we urge operators to be cognisant of the inherent limitations of FBC analysers in generating blood counts. What this study adds: Even modern automated laboratory analysers with advanced technologies have inherent limitations. This case highlights the importance of a manual differential count and peripheral blood smear review in the era of automation.

Indexed as

haematology full blood count analyserhairy cell leukaemiamonocytopeniapseudomonocytosisSysmex XN-series

Identifiers

PMID40183109
PMCPMC11967045

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.