Evidence map›Paper›PMID 38321560›Full record

ArticleSystematic reviews2024

Protocol for spatial prediction of soil transmitted helminth prevalence in the Western Pacific region using a meta-analytical approach.

Beth Gilmour, Kingley Wangdi, Angela Cadavid Restrepo, Tsheten Tsheten, Matthew Kelly, Archie Clements, Darren Gray, Colleen Lau, Fe Esperanza Espino, Chona Daga and 5 more

Erratum issuedAbstract read
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In one paragraph

Article in Systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Beth GilmourSchool of Population Health, Faculty of Health Sciences, Curtin University, Kent St, Bentley WA, Western Australia, 6102, Australia. beth.gilmour@curtin.edu.au.ORCID 0000-0003-4416-5969
Kingley WangdiAustralia National University, Canberra, Australia.
Angela Cadavid RestrepoThe University of Queensland, Brisbane, Australia.
Tsheten TshetenAustralia National University, Canberra, Australia.
Matthew KellyAustralia National University, Canberra, Australia.
Archie ClementsGeospatial and Tuberculosis Research Team, Telethon Kids Institute, West Perth, Western Australia, Australia.
Darren GrayAustralia National University, Canberra, Australia.
Colleen LauThe University of Queensland, Brisbane, Australia.
Fe Esperanza EspinoResearch Institute for Tropical Medicine, Muntinlupa, Philippines.
Chona DagaResearch Institute for Tropical Medicine, Muntinlupa, Philippines.
Vanessa MapaloResearch Institute for Tropical Medicine, Muntinlupa, Philippines.
Susana Vaz NeryThe Kirby Institute, University of New South Wales, Kensington, Australia.
Adam BartlettThe Kirby Institute, University of New South Wales, Kensington, Australia.
Eyob Alemayehu GebreyohannesUniversity of South Australia, Adelaide, Australia.
Kefyalew Addis AleneSchool of Population Health, Faculty of Health Sciences, Curtin University, Kent St, Bentley WA, Western Australia, 6102, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoil transmitted helminth (STH) infections are estimated to impact 24% of the world's population and are responsible for chronic and debilitating morbidity. Disadvantaged communities are among the worst affected and are further marginalized as infection prevalence fuels the poverty cycle. Ambitious targets have been set to eliminate STH infections, but accurate epidemiological data will be required to inform appropriate interventions. This paper details the protocol for an analysis that aims to produce spatial prediction mapping of STH prevalence in the Western Pacific Region (WPR).

methodsThe protocol follows the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocol (PRISMA-P) guidelines. The study design will combine the principles of systematic review, meta-analysis, and geospatial analysis. Systematic searches will be undertaken in PubMed, Scopus, ProQuest, Embase, and Web of Science for studies undertaken post 2000, to identify surveys that enable the prevalence of human STH infection within the WPR to be calculated. Covariate data for multivariable analysis will be obtained from publicly accessible sources. Survey data will be geolocated, and STH prevalence and covariates will be linked to produce a spatially referenced dataset for analysis. Bayesian model-based geostatistics will be used to generate spatially continuous estimates of STH prevalence mapped to a resolution of 1 km DISCUSSION: This protocol facilitates study replication and may be applied to other infectious diseases or alternate geographies. Results of the subsequent analysis will identify geographies with high STH prevalence's and can be used to inform resource allocation in combating this neglected tropical disease.

trial registrationOpen Science Framework: osf.io/qmxcj.

Indexed as

HelminthiasisHelminthsSoilAnimalsBayes TheoremHumansMeta-Analysis as TopicPrevalenceSystematic Reviews as TopicSoilSoil transmitted helminthSpatial prediction mappingSTHWestern Pacific

Identifiers

PMID38321560
PMCPMC10845450

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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.