Evidence map›Paper›PMID 33216129›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2020

Linking soils and human health: geospatial analysis of ground-sampled soil data in relation to community-level podoconiosis data in North West Cameroon.

H Gislam, N G Burnside, M Brolly, K Deribe, G Davey, S Wanji, C E Suh, S J Kemp, M J Watts, J S Le Blond

Open access · bronzeAbstract read
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

10 authors at 5 institutions in 3 countries.

H GislamSchool of Environment & Technology, University of Brighton, Brighton, UK.
N G BurnsideSchool of Environment & Technology, University of Brighton, Brighton, UK.
M BrollySchool of Environment & Technology, University of Brighton, Brighton, UK.
K DeribeCentre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK.
G DaveyCentre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK.
S WanjiDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.
C E SuhDepartment of Geology, Environmental Science and Mining, University of Bamenda, Bamenda, Cameroon.
S J KempBritish Geological Survey, Environmental Science Centre, Keyworth, Nottingham, NG12 5GG, UK.
M J WattsBritish Geological Survey, Environmental Science Centre, Keyworth, Nottingham, NG12 5GG, UK.
J S Le BlondKikuchi Consulting Arlington, MA, USA.
University of Brighton · GBBrighton and Sussex Medical School · GBBritish Geological Survey · GBUniversity of Bamenda · CMUniversity of Buea · CM

Funding

Wellcome Trust 201900/Z/16/Z
6 · The paper itself

Abstract

backgroundPodoconiosis is a form of leg swelling, which arises when individuals are exposed over time to red clay soil formed from alkaline volcanic rock. The exact causal agent of the disease is unknown. This study investigates associations between podoconiosis disease data and ground-sampled soil data from North West Cameroon.

methodsThe mineralogy and elemental concentrations were measured in the soil samples and the data were spatially interpolated. Mean soil values were calculated from a 3 km buffer region around the prevalence data points to perform statistical analysis. Analysis included Spearman's rho correlation, binary logistic regression and principal component analysis (PCA).

resultsSix elements, barium, beryllium, potassium, rubidium, strontium and thallium, as well as two minerals, potassium feldspar and quartz, were identified as statistically related to podoconiosis. PCA did not show distinct separation between the spatial locations with or without recorded cases of podoconiosis, indicating that other factors such as shoe-wearing behaviour and genetics may significantly influence podoconiosis occurrence and prevalence in North West Cameroon.

conclusionSeveral soil variables were statistically significantly related to podoconiosis. To further the current study, future investigations will look at the inflammatory pathway response of cells after exposure to these variables.

Indexed as

ElephantiasisCameroonEthiopiaHumansPrevalenceShoesSoilSoilCameroongeospatialinterpolationmineralpodoconiosissoil

Identifiers

PMID33216129
PMCPMC7738663
OpenAlexW3099447317

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.