ArticleRoyal Society open science2025
Clinically validated graphical approaches identify hepatosplenic multimorbidity in individuals at risk of schistosomiasis.
Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Government health care worker training needs for intestinal schistosomiasis morbidity management.PLoS neglected tropical diseases · 2026Article
- Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis.Nature communications · 2026Article
- Clinically validated graphical approaches identify hepatosplenic multimorbidity in individuals at risk of schistosomiasis.Royal Society open science · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global burden of multimorbidity is increasing yet poorly understood, owing to insufficient methods for modelling complex systems of conditions. In particular, hepatosplenic multimorbidity has been inadequately investigated. From 17 January to 16 February 2023, we examined 3186 individuals aged 5-92 years from 52 villages across Uganda within the SchistoTrack Cohort. Point-of-care B-mode ultrasound was used to assess 45 hepatosplenic conditions within the context of schistosomiasis (
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Registered trials
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