Evidence map›Paper›PMID 41857818›Full record

ArticleBMJ open2026

Using flow cytometry for paediatric leukaemia diagnosis in Kenya: a protocol for mixed methods study.

Tyler Severance, Teresa Lotodo, Enock Serem, Festus Njuguna, Beatrice Melly, Millicent Orido, Ronald Tonui, Gilbert Olbara, Raphael Koima, Nicholas Kigen and 6 more

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Tyler SeveranceDepartment of Pediatrics, University of Missouri School of Medicine, Columbia, Missouri, USA.ORCID http://orcid.org/0000-0001-5885-9780
Teresa LotodoMoi University, Eldoret, Kenya.
Enock SeremDirectorate of Pathology, Moi Teaching and Referral Hospital, Eldoret, Kenya.ORCID http://orcid.org/0000-0002-9258-3172
Festus NjugunaDepartment of Child Health and Pediatrics, Moi University School of Medicine, Eldoret, Kenya.
Beatrice MellyMoi Teaching and Referral Hospital, Eldoret, Kenya.
Millicent OridoAcademic Model Providing Access to Healthcare, Eldoret, Kenya.
Ronald TonuiMoi University, Eldoret, Kenya.
Gilbert OlbaraDepartment of Child Health and Pediatrics, Moi Teaching and Referral Hospital, Eldoret, Kenya.
Raphael KoimaAcademic Model Providing Access to Healthcare, Eldoret, Kenya.
Nicholas KigenAcademic Model Providing Access to Healthcare, Eldoret, Kenya.
Steven KussickBurkitt's Lymphoma Fund for Africa, Seattle, Washington, USA.
Vicki RatliffBurkitt's Lymphoma Fund for Africa, Seattle, Washington, USA.
Eda HollBeckman Coulter Life Sciences, Indianapolis, Indiana, USA.
Patrick O MonahanBiostatistics Department, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Tony BoovaBeckman Coulter Life Sciences, Indianapolis, Indiana, USA.
Terry VikDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA tvik@iu.edu.

Funding

Adapting flow cytometry methods for early detection of acute hematologic malignancies in Kenya including the improvement of sample flow processes and technical training of personnelR01CA278862 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI TERRY A VIK · 2024 to 2026
$1.5M
NCI NIH HHS R01 CA278862
6 · The paper itself

Abstract

introductionEach year, an estimated 1700 children should be diagnosed with cancer in western Kenya, with leukaemia making up nearly one-third of cases. However, far fewer are actually diagnosed, highlighting significant delays or errors in diagnosis. Flow cytometry, which the WHO considers essential for leukaemia diagnosis, remains underused across sub-Saharan Africa due to high costs, outdated equipment and a lack of trained personnel. In Kenya, decades-old cytometers have been adapted for leukaemia detection, but these systems are now outdated. Newer platforms, such as simplified single-tube multiparametric assays, provide a scalable and sustainable alternative. This study presents a protocol to evaluate the accuracy of diagnosis and the potential for implementing a streamlined flow cytometry assay using peripheral blood, supported by a regional educational initiative. METHODS AND ANALYSIS: This prospective, mixed-methods implementation study has three aims: (1) to assess the concordance between the Beckman Coulter ClearLLab 10C gold standard 4-tube assay and the streamlined ClearLLab LS 1-tube assay using paired bone marrow and peripheral blood samples; (2) to evaluate the feasibility of peripheral facility referrals and transport logistics with couriered peripheral blood samples from referring sites across western Kenya; and (3) to measure training effectiveness and knowledge gain through a multimodal educational programme using the Project ECHO (Extension for Community Healthcare Outcomes) model. Up to 300 patients at Moi Teaching and Referral Hospital in Eldoret, Kenya, will be enrolled in Aim 1. A separate sample of 100 patients from peripheral facilities will be included in Aim 2. Surveys, knowledge assessments and structured interviews will be used to evaluate training impact under Aim 3. Diagnostic concordance, sensitivity, specificity and knowledge gain will be measured through appropriate quantitative and qualitative methods. ETHICS AND DISSEMINATION: The protocol has received approval from institutional ethics committees at Moi University, MTRH and Indiana University. De-identified data will be analysed and shared through peer-reviewed publications, stakeholder presentations and educational platforms.

Indexed as

Flow CytometryLeukemiaChildChild, PreschoolHumansKenyaProspective StudiesEarly Detection of CancerFeasibility StudiesHaematopathologyLeukaemiaONCOLOGYPUBLIC HEALTH

Identifiers

PMID41857818
PMCPMC13007120

What OpenQuestion holds

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Registered trials

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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.