Evidence map›Paper›PMID 34065213›Full record

ArticleInternational journal of environmental research and public health2021

Consumption of Ultra-Processed Food and Drinks and Chronic Lymphocytic Leukemia in the MCC-Spain Study.

Marta Solans, Sílvia Fernández-Barrés, Dora Romaguera, Yolanda Benavente, Rafael Marcos-Gragera, Esther Gracia-Lavedan, Laura Costas, Claudia Robles, Eva Gonzalez-Barca, Esmeralda de la Banda and 14 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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
–field-weighted citation impact
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.

  1. Pooled it
  2. Toward AI-Assisted Methodological Evaluations of Health Risk Analyses Using Diverse Types of Evidence.Risk analysis : an official publication of the Society for Risk Analysis · 2026
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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

24 authors.

Marta SolansCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.ORCID 0000-0002-2397-0435
Sílvia Fernández-BarrésCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.
Dora RomagueraISGlobal, 08036 Barcelona, Spain.
Yolanda BenaventeCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.
Rafael Marcos-GrageraCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.ORCID 0000-0001-9824-3657
Esther Gracia-LavedanCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.
Laura CostasUnit of Molecular and Genetic Epidemiology in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, 08908 L'Hospitalet de Llobregat, Spain.
Claudia RoblesUnit of Information and Interventions in Infections and Cancer (UNIC-I&I), Cancer Epidemiology Research Programme, (IDIBELL), Catalan Institute of Oncology, 08908 L'Hospitalet de Llobregat, Spain.
Eva Gonzalez-BarcaHematology, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology, 08908 L'Hospitalet de Llobregat, Spain.
Esmeralda de la BandaHematology Laboratory, Department of Pathology, Hospital Universitari de Bellvitge, 08908 L'Hospitalet de Llobregat, Spain.
Esther AlonsoHematology Laboratory, Department of Pathology, Hospital Universitari de Bellvitge, 08908 L'Hospitalet de Llobregat, Spain.
Marta AymerichHematopathology Section, Hospital Clinic de Barcelona, University of Barcelona, CIBERONC, 08001 Barcelona, Spain.
Elias CampoHematopathology Section, Hospital Clinic de Barcelona, University of Barcelona, CIBERONC, 08001 Barcelona, Spain.
Javier LlorcaCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.
Guillermo Fernández-TardónCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.ORCID 0000-0002-7680-158X
Rocío Olmedo-RequenaCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.ORCID 0000-0003-0054-6700
Eva GimenoHematology Department, Hospital del Mar, 08003 Barcelona, Spain.
Gemma Castaño-VinyalsCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.ORCID 0000-0003-4468-1816
Nuria AragonésCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.
Manolis KogevinasCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.
Marina PollánCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.ORCID 0000-0002-4328-1565
Silvia de SanjoseCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.ORCID 0000-0002-5909-676X
Pilar AmianoCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.
Delphine CasabonneCentro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults in Western countries. Its etiology is largely unknown but increasing incidence rates observed worldwide suggest that lifestyle and environmental factors such as diet might play a role in the development of CLL. Hence, we hypothesized that the consumption of ultra-processed food and drinks (UPF) might be associated with CLL. Data from a Spanish population-based case-control study (MCC-Spain study) including 230 CLL cases (recruited within three years of diagnosis) and 1634 population-based controls were used. The usual diet during the previous year was collected through a validated food frequency questionnaire and food and drink consumption was categorized using the NOVA classification scheme. Logistic regression models adjusted for potential confounders were used. Overall, no association was reported between the consumption of UPF and CLL cases (OR per each 10% increase of the relative contribution of UPF to total dietary intake = 1.09 (95% CI: 0.94; 1.25)), independently of the Rai stage at diagnosis. However, when analyses were restricted to cases diagnosed within <1 year (incident), each 10% increment in the consumption of UPF was associated with a 22% higher odds ratio of CLL (95% CI: 1.02, 1.47) suggesting that the overall results might be affected by the inclusion of prevalent cases, who might have changed their dietary habits after cancer diagnosis. Given the low number of cases in the subgroup analyses and multiple tests performed, chance findings cannot totally be ruled out. Nonetheless, positive associations found in CLL incident cases merit further research, ideally in well-powered studies with a prospective design.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellAdultCase-Control StudiesDietFast FoodsFood HandlingHumansProspective StudiesSpaincancercase-control studychronic lymphocytic leukemiaNOVA classificationultra-processed food

Identifiers

PMID34065213
PMCPMC8160774

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Registered trials

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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.