Evidence map›Paper›PMID 23532743›Full record

ArticleEuropean journal of epidemiology2013

A structural equation modelling approach to explore the role of B vitamins and immune markers in lung cancer risk.

Valéria Troncoso Baltar, Wei W Xun, Mattias Johansson, Pietro Ferrari, Shu-Chun Chuang, Caroline Relton, Per Magne Ueland, Øivind Midttun, Nadia Slimani, Mazda Jenab and 38 more

Abstract read
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In one paragraph

Article in European journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  12. The Rotterdam Study: 2016 objectives and design update.European journal of epidemiology · 2015
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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

48 authors at 20 institutions in 12 countries.

Valéria Troncoso BaltarDepartment of Epidemiology, Faculty of Public Health, University of São Paulo, Av. Dr Arnaldo, 715, São Paulo, São Paulo, CEP 01246-904, Brazil, vbaltar@usp.br.
Wei W Xun
Mattias Johansson
Pietro Ferrari
Shu-Chun Chuang
Caroline Relton
Per Magne Ueland
Øivind Midttun
Nadia Slimani
Mazda Jenab
Françoise Clavel-Chapelon
Marie-Christine Boutron-Ruault
Guy Fagherazzi
Rudolf Kaaks
Sabine Rohrmann
Heiner Boeing
Cornelia Weikert
Bas Bueno-de-Mesquita
Hendriek Boshuizen
Carla H van Gils
N Charlotte Onland-Moret
Antonio Agudo
Aurelio Barricarte
Carmen Navarro
Laudina Rodríguez
José Maria Huerta Castaño
Nerea Larrañaga
Kay-Tee Khaw
Nick Wareham
Naomi E Allen
Francesca Crowe
Valentina Gallo
Teresa Norat
Vittorio Krogh
Giovanna Masala
Salvatore Panico
Carlotta Sacerdote
Rosario Tumino
Antonia Trichopoulou
Pagona Lagiou
Dimitrios Trichopoulos
Torgny Rasmuson
Göran Hallmans
Nina Roswall
Anne Tjønneland
Elio Riboli
Paul Brennan
Paolo Vineis
Imperial College London · GBCentre International de Recherche sur le Cancer · FRCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESDanish Cancer Society · DKDélégation Ile-de-France Villejuif · FRGerman Cancer Research Center · DEGerman Institute of Human Nutrition · DENational Institute for Public Health and the Environment · NLUmeå University · SEUniversity Medical Center Utrecht · NLUniversity of Oxford · GBAcademy of Athens · GRAzienda Usl 8 Arezzo · ITBasque Government · ESBevital (Norway) · NOHarvard University · USHaukeland University Hospital · NOHellenic Health Foundation · GRInstitut Català d'Oncologia · ESInstitut Gustave Roussy · FR

Funding

Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_12013/2
6 · The paper itself

Abstract

The one-carbon metabolism (OCM) is considered key in maintaining DNA integrity and regulating gene expression, and may be involved in the process of carcinogenesis. Several B-vitamins and amino acids have been implicated in lung cancer risk, via the OCM directly as well as immune system activation. However it is unclear whether these factors act independently or through complex mechanisms. The current study applies structural equations modelling (SEM) to further disentangle the mechanisms involved in lung carcinogenesis. SEM allows simultaneous estimation of linear relations where a variable can be the outcome in one equation and the predictor in another, as well as allowing estimation using latent variables (factors estimated by correlation matrix). A large number of biomarkers have been analysed from 891 lung cancer cases and 1,747 controls nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Four putative mechanisms in the OCM and immunity were investigated in relation to lung cancer risk: methionine-homocysteine metabolism, folate cycle, transsulfuration, and mechanisms involved in inflammation and immune activation, all adjusted for tobacco exposure. The hypothesized SEM model confirmed a direct and protective effect for factors representing methionine-homocysteine metabolism (p = 0.020) and immune activation (p = 0.021), and an indirect protective effect of folate cycle (p = 0.019), after adjustment for tobacco smoking. In conclusion, our results show that in the investigation of the involvement of the OCM, the folate cycle and immune system in lung carcinogenesis, it is important to consider complex pathways (by applying SEM) rather than the effects of single vitamins or nutrients (e.g. using traditional multiple regression). In our study SEM were able to suggest a greater role of the methionine-homocysteine metabolism and immune activation over other potential mechanisms.

Indexed as

Models, StatisticalBiomarkersFolic AcidHumansLung NeoplasmsMaleMethioninePopulation SurveillanceProspective StudiesRisk FactorsVitamin B ComplexBiomarkersFolic AcidMethionineVitamin B Complex

Identifiers

PMID23532743
OpenAlexW2153340981

What OpenQuestion holds

Textmetadata
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.