Evidence map›Paper›PMID 30381343›Full record

ArticleJournal of the Royal Society, Interface2018

Precision global health and comorbidity: a population-based study of 16 357 people in rural Uganda.

Goylette F Chami, Narcis B Kabatereine, Edridah M Tukahebwa, David W Dunne

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Goylette F ChamiDepartment of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QP, UK gjc36@cam.ac.uk.ORCID 0000-0002-4653-0846
Narcis B KabatereineSchistosomiasis Control Initiative, Imperial College London, Norfolk Place, London W2 1PG, UK.
Edridah M TukahebwaBilharzia and Worm Control Programme, Vector Control Division, Ministry of Health, 15 Bombo Road, Kampala, Uganda.
David W DunneDepartment of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QP, UK.
Ministry of Health · UGUniversity of Cambridge · GB

Funding

Wellcome TrustWellcome Trust 083931/Z/07/ZWellcome Trust 100891/Z/13/Z
6 · The paper itself

Abstract

In low-income countries, complex comorbidities and weak health systems confound disease diagnosis and treatment. Yet, data-driven approaches have not been applied to develop better diagnostic strategies or to tailor treatment delivery for individuals within rural poor communities. We observed symptoms/diseases reported within three months by 16 357 individuals aged 1+ years in 17 villages of Mayuge District, Uganda. Symptoms were mapped to the Human Phenotype Ontology. Comorbidity networks were constructed. An edge between two symptoms/diseases was generated if the relative risk greater than 1,

Indexed as

Delivery of Health CareGlobal HealthRural PopulationAdolescentAdultChildChild, PreschoolCluster AnalysisCommunicable DiseasesComorbidityDeveloping CountriesFemaleHumansHygieneInfantMalebiosocialglobal healthnetworksprecision medicinepublic healthsymptoms

Identifiers

PMID30381343
PMCPMC6228477
OpenAlexW2899508175

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.