Evidence map›Paper›PMID 28155030›Full record

ArticleEnvironmental geochemistry and health2018

Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data.

Gonzalo López-Abente, Juan Locutura-Rupérez, Pablo Fernández-Navarro, Iván Martín-Méndez, Alejandro Bel-Lan, Olivier Núñez

Open access · hybridAbstract read
In one paragraph

Article in Environmental geochemistry and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Carcinogenic effect of arsenic in digestive cancers: a systematic review.Environmental health : a global access science source · 2023
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Health Risk Assessment for the Residential Area Adjacent to a Former Chemical Plant.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

6 authors at 3 institutions in 1 country.

Gonzalo López-AbenteEnvironmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avda. Monforte de Lemos 5, 28029, Madrid, Spain. glabente@isciii.es.
Juan Locutura-RupérezDepartment of Geochemistry and Mineral Resources, Spanish Geological and Mining Institute (Instituto Geológico y Minero de España/IGME), Ríos Rosas, 23, 28003, Madrid, Spain.
Pablo Fernández-NavarroEnvironmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avda. Monforte de Lemos 5, 28029, Madrid, Spain.
Iván Martín-MéndezDepartment of Geochemistry and Mineral Resources, Spanish Geological and Mining Institute (Instituto Geológico y Minero de España/IGME), Ríos Rosas, 23, 28003, Madrid, Spain.
Alejandro Bel-LanDepartment of Geochemistry and Mineral Resources, Spanish Geological and Mining Institute (Instituto Geológico y Minero de España/IGME), Ríos Rosas, 23, 28003, Madrid, Spain.
Olivier NúñezEnvironmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avda. Monforte de Lemos 5, 28029, Madrid, Spain.
Instituto Geológico y Minero de España · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of toxic metals in soil per se, and in soil impacted by mining, industry, agriculture and urbanisation in particular, is a major concern for both human health and ecotoxicology. The dual aim of this study was: to ascertain whether topsoil composition could influence the spatial distribution of mortality due to different types of cancer and to identify possible errors committed by epidemiological studies which analyse soil composition data as a closed number system. We conducted an ecological cancer mortality study, covering 861,440 cancer deaths (27 cancer sites) in 7917 Spanish mainland towns, from 1999 to 2008. Topsoil levels of Al, As, Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn were determined by ICP-MS at 13,317 sampling points. We transformed the topsoil data in two ways, i.e. log transformation and centred logratio transformation. Principal factor analysis was performed to obtain independent latent factors for the transformed variables. To estimate the effect on mortality of topsoil factor loadings, we fitted Besag, York and Mollié models embedded in geostatistical-spatial models. This model included soil sample locations and town centroids (non-aligned data), fitted using the integrated nested Laplace approximation (INLA) as a tool for Bayesian inference and stochastic partial differential equations (SPDE). All results were adjusted for socio-demographic variables. The results indicated that soil composition could have an influence on the spatial distribution and mortality patterns of cancer. The analysis adjusted for socio-demographic variables showed excess male mortality due to digestive system tumours in areas with soils containing higher Cd, Pb, Zn, Mn and Cu concentrations, bladder cancer in areas with soils containing higher Cd concentrations, and brain cancer in areas with soils containing As. In both sexes, cancer of oesophagus was associated with soils containing a higher lead content, while lung cancer was associated with soils containing a higher copper content. Stress should be laid on the importance of taking into account the compositional nature of the data in this type of analysis.

Indexed as

ArsenicEnvironmental MonitoringFemaleHumansMaleMass SpectrometryMetals, HeavyNeoplasmsSoil PollutantsSpainTissue DistributionArsenicMetals, HeavySoil PollutantsCancer mortalityCompositional analysisGeochemistryMedical geologySoil compositionSpatial data analysis

Identifiers

PMID28155030
PMCPMC5797570
OpenAlexW2584396921

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.