Evidence map›Paper›PMID 31547443›Full record

ArticleNutrients2019

Food and Beverage Consumption and Melanoma Risk: A Population-Based Case-Control Study in Northern Italy.

Carlotta Malagoli, Marcella Malavolti, Francesca Farnetani, Caterina Longo, Tommaso Filippini, Giovanni Pellacani, Marco Vinceti

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 23% 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, 2 syntheses or guidelines pooled it, 24 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

7 authors at 2 institutions in 2 countries.

Carlotta MalagoliEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Section of Public Health-Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via G. Campi 287, 41125 Modena, Italy. carlotta.malagoli@unimore.it.
Marcella MalavoltiEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Section of Public Health-Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via G. Campi 287, 41125 Modena, Italy. marcella.malavolti@unimore.it.
Francesca FarnetaniDermatologic Unit, University of Modena and Reggio Emilia, Via Del Pozzo 71, 41124 Modena, Italy. francesca.farnetani@unimore.it.
Caterina LongoDermatologic Unit, University of Modena and Reggio Emilia, Via Del Pozzo 71, 41124 Modena, Italy. caterina.longo@unimore.it.
Tommaso FilippiniEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Section of Public Health-Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via G. Campi 287, 41125 Modena, Italy. tommaso.filippini@unimore.it.ORCID 0000-0003-2100-0344
Giovanni PellacaniDermatologic Unit, University of Modena and Reggio Emilia, Via Del Pozzo 71, 41124 Modena, Italy. giovanni.pellacani@unimore.it.
Marco VincetiEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Section of Public Health-Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via G. Campi 287, 41125 Modena, Italy. marco.vinceti@unimore.it.ORCID 0000-0002-0551-2473
University of Modena and Reggio Emilia · ITBoston University · US

Funding

Lega Contro i Tumori - LILT not applicableModena Policlinico Hospital and Modena Local Health not applicable
6 · The paper itself

Abstract

It has been suggested that diet may influence the risk of melanoma, but few studies are available on this topic. We assessed the relation between food consumption and the risk of cutaneous melanoma in a Northern Italy population. We carried out a population-based case-control study involving 380 cases of melanoma and 719 age- and sex-matched controls. Dietary habits were established through a self-administered semi-quantitative food frequency questionnaire. We computed the odds ratios (ORs) of melanoma and the corresponding 95% confidence intervals (CIs) according to tertiles of daily intake of each food item, using multiple logistic regression models adjusted for major confounding factors. We observed an indication of a positive association between melanoma risk and consumption of cereals and cereal products (OR = 1.32; 95% CI 0.89-1.96, higher vs. lowest tertile), sweets (OR = 1.22; 95% CI 0.84-1.76), chocolate, candy bars. etc., (OR = 1.51; 95% CI 1.09-2.09) and cabbages (OR = 1.51; 95% CI 1.09-2.09). Conversely, an inverse association with disease risk was found for the intake of legumes (OR = 0.77; 95% CI 0.52-1.13), olive oil (OR = 0.77; 95% CI 0.51-1.16), eggs (OR = 0.58; 95% CI 0.41-0.82), and onion and garlic (OR = 0.80; 95% CI 0.52-1.14). No relationship was observed with beverage consumption. Our results suggest potentially adverse effects on melanoma risk of foods characterized by high contents of refined flours and sugars, while suggesting a protective role for eggs and two key components of the Mediterranean diet, legumes and olive oil. These associations warrant further investigation and, if confirmed, they might have important public health implications for the reduction of melanoma incidence through dietary modification.

Indexed as

AgedCase-Control StudiesCutaneous Malignant MelanomaDietDiet SurveysFeeding BehaviorFemaleHumansIncidenceItalyLogistic ModelsMaleMelanomaMiddle AgedOdds RatioRisk Factorscase-control studydietepidemiologyfoodmelanomarisk

Identifiers

PMID31547443
PMCPMC6769978
OpenAlexW2972538442

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.