Evidence map›Paper›PMID 40687069›Full record

ArticleCase reports in medicine2025

CD103-Negative Hairy Cell Leukemia: A Case Report From University Teaching Hospital, Zambia.

Natasha Mupeta Kaweme, Sahar Mounir Nagib Butress, Inonge Akekelwa, Sumbukeni Francis Kowa, Hamakwa Muluti Mantina, Charles Kapela Mwandama

Abstract readCase Reports
In one paragraph

Article in Case reports in 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

6 authors.

Natasha Mupeta KawemeDepartment of Pathology and Microbiology, Adult Hospital, University Teaching Hospital, Haematology Unit, Private Bag RW 1X, Lusaka, Zambia.ORCID https://orcid.org/0000-0002-2409-4502
Sahar Mounir Nagib ButressDepartment of Pathology and Microbiology, Adult Hospital, University Teaching Hospital, Haematology Unit, Private Bag RW 1X, Lusaka, Zambia.ORCID https://orcid.org/0000-0002-8255-0799
Inonge AkekelwaDepartment of Pathology and Microbiology, Adult Hospital, University Teaching Hospital, Haematology Unit, Private Bag RW 1X, Lusaka, Zambia.ORCID https://orcid.org/0000-0003-3557-5288
Sumbukeni Francis KowaDepartment of Pathology and Microbiology, Adult Hospital, University Teaching Hospital, Haematology Unit, Private Bag RW 1X, Lusaka, Zambia.ORCID https://orcid.org/0000-0003-2690-2566
Hamakwa Muluti MantinaDepartment of Pathology and Microbiology, Adult Hospital, University Teaching Hospital, Private Bag RW 1X, Lusaka, Zambia.ORCID https://orcid.org/0000-0003-1484-4370
Charles Kapela MwandamaDepartment of Internal Medicine, Adult Hospital, University Teaching Hospital, Haematology and Oncology Unit, Private Bag RW 1X, Lusaka, Zambia.ORCID https://orcid.org/0009-0006-7134-964X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hairy cell leukemia (HCL) is among a group of mature lymphoid B-cell disorders characterized by the identification of hairy cells and a unique genetic profile. Detection of CD103 expression on flow cytometry is the key in enumerating the immunologic score for diagnosing HCL. For a disease that is more prevalent in Caucasians and less common in African populations, we report an unusual case of CD103-negative classical HCL in a 43-year-old African male, who presented with refractory anemia, thrombocytopenia, and splenomegaly. In patients with refractory anemia, it is crucial to consider investigating HCL, as this may influence therapeutic decisions and, consequently, overall patient outcomes.

Indexed as

BRAF V600Ecladribineclinical presentationhairy cell leukemiaimmunophenotype

Identifiers

PMID40687069
PMCPMC12274090

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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.