ArticleMalaria journal2018
An automated haematology analyzer XN-30 distinguishes developmental stages of falciparum malaria parasite cultured in vitro.
Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Diagnostic role of Sysmex hematology analyzer in the detection of malaria: A systematic review and meta-analysis.PloS one · 2024Pooled it
- The XN-30 hematology analyzer for rapid sensitive detection of malaria: a diagnostic accuracy study.BMC medicine · 2019Trial
- Performance evaluation of the automated haematology analyzer XN-31 for malaria diagnosis in Plasmodium vivax-dominant regions of Thailand.Malaria journal · 2025Article
- Pivotal roles of Plasmodium falciparum lysophospholipid acyltransferase 1 in cell cycle progression and cytostome internalization.Communications biology · 2025Article
- Cathagines A-D, new bisindole alkaloids from Catharanthus roseus.Journal of natural medicines · 2025Article
- Accelerating Antimalarial Drug Discovery with a New High-Throughput Screen for Fast-Killing Compounds.ACS infectious diseases · 2024Article
- Article
- Application of image recognition technology in pathological diagnosis of blood smears.Clinical and experimental medicine · 2024Review
- Ceramicines U-Z from Chisocheton ceramicus and structure-antimalarial activity relationship study.Journal of natural medicines · 2024Article
- Antimalarial ceramicines Q-T from Chisocheton ceramicus.Journal of natural medicines · 2023Article
- Chukranoids A-I, isopimarane diterpenoids from Chukrasia velutina.Journal of natural medicines · 2022Article
- Caloforines A-G, coumarins from the bark of Calophyllum scriblitifolium.Journal of natural medicines · 2022Article
- Fast detection and quantification of Plasmodium species infected erythrocytes in a non-endemic region by using the Sysmex XN-31 analyzer.Malaria journal · 2022Article
- Evaluation of the Sysmex XN-31 automated analyser for blood donor malaria screening at Malawi Blood Transfusion Services.Vox sanguinis · 2022Observational
- Diagnostic accuracy of fluorescence flow-cytometry technology using Sysmex XN-31 for imported malaria in a non-endemic setting.Parasite (Paris, France) · 2022Article
- Walsogynes H-O from Walsura chrysogyne.Journal of natural medicines · 2022Article
- Two new bisindole alkaloids from Tabernaemontana macrocarpa Jack.Journal of natural medicines · 2021Article
- Performance of the hematology analyzer XN-31 prototype in the detection of Plasmodium infections in an endemic region of Colombia.Scientific reports · 2021Article
- Bisindole alkaloids from Voacanga grandifolia leaves.Journal of natural medicines · 2021Article
- Performance evaluation of machine learning-based infectious screening flags on the HORIBA Medical Yumizen H550 Haematology Analyzer for vivax malaria and dengue fever.Malaria journal · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe automated haematology analyzer XN-30 (Sysmex, Kobe, Japan) easily and rapidly detects malarial parasites in clinical blood samples using flow cytometry. The XN-30 analyzer is able to distinguish each developmental stage by measuring DNA content and cell size. Thus, it was expected to be capable of quantifying the developmental stages of cultured falciparum parasite. To achieve this requirement, a modified algorithm was tested for its validity and reliability using in vitro cultured falciparum parasite.
resultsThe XN-30 analyzer automatically measured each developmental stage as well as total parasitaemia. Comparison of the parasitaemia obtained using the XN-30 analyzer equipped with the modified algorithm with that obtained using microscopy examination of Giemsa-stained smears revealed the greater sensitivity and reproducibility of the former. The XN-30 analyzer also detected free merozoites and purified gametocytes.
conclusionsThe XN-30 analyzer allows the precise recognition and enumeration of total and each developmental stages of cultured falciparum parasites, and permits the sensitive and reproducible calculation of parasitaemia. The results indicate the potential of the XN-30 analyzer for basic research on malarial biology, anti-malarial drug discovery, and evaluation of drug efficacy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.