Evidence map›Paper›PMID 41746396›Full record

ArticleAnnals of hematology2026

Diagnostic accuracy of the sickle SCAN

Tina Katamea, Olivier Mukuku, André Kabamba Mutombo, Oscar Numbi Luboya, Stanislas Okitotsho Wembonyama

Abstract read
In one paragraph

Article in Annals of hematology, 2026. 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. Diagnostic accuracy of the sickle SCANAnnals of hematology · 2026
    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.

Tina KatameaDepartment of Paediatrics, Faculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.
Olivier MukukuDepartment of Maternal and Child Health, Institut Supérieur des Techniques Médicales de Lubumbashi, Lubumbashi, Democratic Republic of the Congo. oliviermukuku@yahoo.fr.ORCID http://orcid.org/0000-0001-6902-7023
André Kabamba MutomboDepartment of Paediatrics, Faculty of Medicine, Official University of Mbuji-Mayi, Mbuji-Mayi, Democratic Republic of the Congo.
Oscar Numbi LuboyaDepartment of Paediatrics, Faculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.
Stanislas Okitotsho WembonyamaDepartment of Paediatrics, Faculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sickle cell disease (SCD) is a common and potentially life-threatening haematological disorder. In high-income countries, universal newborn screening and timely interventions have markedly reduced infant mortality. In contrast, in low-resource settings, diagnosis often occurs only in late childhood, once clinical manifestations have developed. The high cost, technical complexity, and limited availability of conventional diagnostic methods remain major barriers to implementing neonatal screening programmes in sub-Saharan Africa and other resource-constrained regions. We assessed the diagnostic performance of Sickle SCAN®, a prototype rapid immunoassay designed to qualitatively detect HbA, HbS, and HbC. The test is based on a lateral flow immunoassay format and provides results at the point of care. Cord blood samples from 365 newborns were analysed with Sickle SCAN® and results were compared against the reference standard of capillary electrophoresis. Sickle SCAN® accurately identified haemoglobin phenotypes in 97.3% of cases (95% CI: 95.0%-98.7%). For HbAA, sensitivity was 97.8% (95% CI: 94.9%-99.3%) and specificity was 96.5% (95% CI: 92.0%-98.9%). For HbAS, sensitivity was 95.8% (95% CI: 90.5%-98.6%) and specificity 98.0% (95% CI: 95.3%-99.3%). Importantly, no false-positive or false-negative results were observed for HbSS and HbAC, yielding 100% sensitivity and specificity for these phenotypes. Our findings demonstrate that Sickle SCAN® is a highly accurate, rapid, and low-cost tool for neonatal SCD screening. Its use could substantially reduce diagnostic delays, lower programme costs, and improve accessibility to early detection in resource-limited settings, thereby contributing to improved child survival.

Indexed as

LubumbashiNeonatal screeningNewbornSickle cell diseaseSickle SCAN®

Identifiers

PMID41746396
PMCPMC12946339

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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.