ArticleBMJ open2025
Updating global estimates of pathogen-attributable diarrhoeal disease burden: a methodology and integrated protocol for a broad-scope systematic review of a syndrome with diverse infectious aetiologies.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- WHO estimates of the global, regional, and national burden of 14 foodborne diarrhoeal enteric hazards, 2000-21: an updated data synthesis.The Lancet. Global health · 2026Article
- WHO estimates of the global, regional, and national burden of 42 foodborne infectious and chemical hazards, 2000-21: an updated data synthesis.The Lancet. Global health · 2026Review
- Updated Estimates of the Global, Regional and National Burden, and Etiology of Diarrheal Diseases Transmissible via Food: A Systematic Review and Meta-Analytical Modelling Study for the World Health Organization.medRxiv : the preprint server for health sciences · 2026Article
- Phage therapy for intestinal infections: efficacy, challenges, and future directions in translational research.Frontiers in microbiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
introductionSustaining declines in global infectious disease burden will increasingly require efforts targeted to specific aetiological agents and common transmission pathways, particularly in this era of global change and human interconnectivity accelerating transmission and emergence of infectious pathogens. Systematic reviews and meta-analyses can be an effective and resource-efficient method for synthesising evidence regarding disease epidemiology for a wide range of pathogens and are the evidence source used by initiatives like the Planetary Child Health and Enterics Observatory (Plan-EO) and the WHO to determine the aetiology-specific epidemiology of diarrhoeal disease. Therefore, we developed this integrated systematic review methodology and protocol that aims to compile a database of published prevalence estimates for 17 diarrhoea-causing pathogens as inputs for disease burden estimation. METHODS AND ANALYSIS: We will seek estimates of the prevalence of each endemic enteric pathogen estimated from published population-based studies that diagnosed their presence in stool samples from both asymptomatic subjects and those experiencing diarrhoea. The pathogens include the enteric viruses adenovirus, astrovirus, norovirus, rotavirus and sapovirus, the bacteria ETHICS AND DISSEMINATION: This systematic review is exempt from ethics approval because the work is carried out on published documents. The database that results from this review will be made available as a supplementary file of the resulting published manuscript. It will also be made available for download from the Plan-EO website, where updated versions will be posted on a quarterly basis. PROSPERO REGISTRATION NUMBER: CRD42023427998.
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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.