Evidence map›Paper›PMID 23567975›Full record

ArticleEnvironmental geochemistry and health2014

A correlation study between multiple sclerosis and type 1 diabetes incidences and geochemical data in Europe.

Paolo Valera, Patrizia Zavattari, Stefano Albanese, Domenico Cicchella, Enrico Dinelli, Annamaria Lima, Benedetto De Vivo

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Associations of essential and toxic metals/metalloids in whole blood with both disease severity and mortality in patients with COVID-19.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
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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

7 authors at 5 institutions in 1 country.

Paolo ValeraDepartment of Civil-Environmental Engineering and Architecture, University of Cagliari, Via Marengo 3, 09123, Cagliari, Italy, pvalera@unica.it.
Patrizia Zavattari
Stefano Albanese
Domenico Cicchella
Enrico Dinelli
Annamaria Lima
Benedetto De Vivo
University of Naples Federico II · ITIstituto Nazionale di Fisica Nucleare, Sezione di Cagliari · ITUniversity of Bologna · ITUniversity of Cagliari · ITUniversity of Sannio · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex multifactorial disorders usually arise in individuals genetically at risk in the presence of permissive environmental factors. For many of these diseases, predisposing gene variants are partly known while the identification of the environmental component is much more difficult. This study aims to investigate whether there are correlations between the incidence of two complex traits, multiple sclerosis and type 1 diabetes, and some chemical elements and compounds present in soils and stream sediments in Europe. Data were obtained from the published literature and analyzed by calculating the mean values of each element and of disease incidence for each Country, respectively, 17 for multiple sclerosis and 21 for type 1 diabetes. Correlation matrices and regression analyses were used in order to compare incidence data and geochemical data. R correlation index and significance were evaluated. The analyses performed in this study have revealed significant positive correlations between barium and sodium oxide on one hand and multiple sclerosis and diabetes incidences on the other hand that may suggest interactions to be evaluated between silicon-rich lithologies and/or marine environments. The negative correlations shown by cobalt, chromium and nickel (typical of silicon-poor environment), which in this case can be interpreted as protective effects against the two diseases onset, make the split between favorable and protective environments even more obvious. In conclusion, if other studies will confirm the involvement of the above elements and compounds in the etiology of these pathologies, then it will be possible to plan strategies to reduce the spread of these serious pandemics.

Indexed as

ChromiumCobaltDiabetes Mellitus, Type 1EuropeGeologic SedimentsGeologyHumansMultiple SclerosisNickelRegression AnalysisSoilSpectrometry, X-Ray EmissionChromiumCobaltNickelSoil

Identifiers

PMID23567975
OpenAlexW2011382105

What OpenQuestion holds

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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.