Evidence map›Paper›PMID 41507817›Full record

ArticleBMC infectious diseases2026

Resistance evaluation and surveillance initiative for schistosomiasis treatment: study protocol for the RESIST project.

Stefanie Knopp, Said M Ali, Norbert van Dijk, Aidan M Emery, Tom Pennance, Bonnie L Webster, Luc E Coffeng

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC infectious diseases, 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

7 authors.

Stefanie KnoppSwiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, 4123, Switzerland. s.knopp@swisstph.ch.
Said M AliPublic Health Laboratory - Ivo de Carneri, P.O. Box 122, Wawi, Chake Chake, Pemba, United Republic of Tanzania.
Norbert van DijkDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, Rotterdam, 3000 CA, The Netherlands.
Aidan M EmeryNatural History Museum, Cromwell Road, London, SW7 5BD, UK.
Tom PennanceNatural History Museum, Cromwell Road, London, SW7 5BD, UK.
Bonnie L WebsterNatural History Museum, Cromwell Road, London, SW7 5BD, UK.
Luc E CoffengDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, Rotterdam, 3000 CA, The Netherlands.

Funding

Wellcome TrustWellcome Trust 312326/Z/24/Z
6 · The paper itself

Abstract

backgroundThe Zanzibar islands have implemented mass drug administration (MDA) with praziquantel against Schistosoma haematobium infections since the 2000s, achieving elimination of schistosomiasis as a public health problem in most areas. However, a few hotspots with high prevalence of infection remain, where MDA-driven selection of drug-resistance within the S. haematobium populations might contribute to persistent transmission. Recent advances in understanding the molecular basis of praziquantel action on the Schistosoma transient receptor potential ion channel (TRPMPZQ) now facilitate screening Schistosoma populations for genetic signatures that may point to reduced praziquantel efficacy, or even resistance.

methodsThis observational study is implemented from 2024 to 2027 and contains four components: (1) Cross-sectional surveys in Pemba: Single urine samples are collected from ~ 14,400 students across 15 schools to assess the geographic distribution of S. haematobium infection prevalence and intensity, and for miracidia collection. (2) Longitudinal studies in Pemba: Quintuple urine samples are collected from ~ 945 students across two schools before and two weeks after MDA to assess S. haematobium egg reduction rates (ERR), and for miracidia collection. (3) Genome-wide analyses of the S. haematobium miracidia collected in 1 and 2, (a) across Pemba over multiple time points (including archived specimens collected in 2012 and 2017) to quantify spatiotemporal patterns of parasite genetic variation; and (b) before and two weeks after MDA to identify any genetic variants under selection and potentially associated with praziquantel sensitivity. 4) Modelling to: (a) analyse correlation of observed S. haematobium ERR and miracidia genetic profiles; (b) predict the impact of MDA and mitigation strategies on emergence of drug resistance; and (c) design cost-efficient survey strategies for pharmacovigilance. DISCUSSION: The combination of parasitological fieldwork, genomic analyses, and mathematical modelling will deliver new insights into how MDA has shaped genetic diversity of S. haematobium populations, how this might affect drug efficacy and contribute to persistent hotspots, and how this can best be monitored and mitigated. This project will lay the foundations for population-based research into drug resistance in Schistosoma with important implications for novel drugs in the pipeline.

trial registrationISRCTN, ISRCTN59331501. Registered 24 October 2024, https://www.isrctn.com/ISRCTN59331501 .

Indexed as

AnthelminticsDrug ResistancePraziquantelSchistosoma haematobiumSchistosomiasisSchistosomiasis haematobiaAdolescentAnimalsChildCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMass Drug AdministrationObservational Studies as TopicAnthelminticsPraziquantelEliminationGenomicsHotspotInterruption of transmissionMass drug administrationModellingPraziquantelResistanceSchistosomiasisS. haematobiumTreatmentZanzibar

Identifiers

PMID41507817
PMCPMC12874852

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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.