Evidence map›Paper›PMID 28233817›Full record

ArticleScientific reports2017

Risk Model for Colorectal Cancer in Spanish Population Using Environmental and Genetic Factors: Results from the MCC-Spain study.

Gemma Ibáñez-Sanz, Anna Díez-Villanueva, M Henar Alonso, Francisco Rodríguez-Moranta, Beatriz Pérez-Gómez, Mariona Bustamante, Vicente Martin, Javier Llorca, Pilar Amiano, Eva Ardanaz and 17 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
3.1field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Review
  8. Review
  9. Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Evaluating the Potential of Polygenic Risk Score to Improve Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  15. Interaction of CCND2, CDKN1A, and POLD3 Variants in Mexican Patients with Colorectal Cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2022
    Article
  16. Article
  17. Article
  18. Evaluation of Feature Selection Techniques for Breast Cancer Risk Prediction.International journal of environmental research and public health · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 9 institutions in 2 countries.

Gemma Ibáñez-SanzCancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Spain.
Anna Díez-VillanuevaCancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Spain.
M Henar AlonsoCancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Spain.
Francisco Rodríguez-MorantaCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Beatriz Pérez-GómezCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Mariona BustamanteCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Vicente MartinCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Javier LlorcaCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Pilar AmianoCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Eva ArdanazCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Adonina TardónCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Jose J Jiménez-MoleónCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Rosana PeiróCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Juan AlguacilCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Carmen NavarroCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Elisabet GuinóCancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Spain.
Gemma BinefaCancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Spain.
Pablo Fernández-NavarroCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Anna EspinosaCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Verónica Dávila-BatistaInstituto de Biomedicina (IBIOMED). Grupo de investigación en interacciones gen ambiente y salud. Universidad de León, León, Spain.
Antonio José MolinaCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Camilo PalazuelosUniversidad de Cantabria - IDIVAL, Santander, Spain.
Gemma Castaño-VinyalsCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Nuria AragonésCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Manolis KogevinasCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Marina PollánCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Victor MorenoCancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Spain. v.moreno@iconcologia.net.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESInstitut d'Investigació Biomédica de Bellvitge · ESBarcelona Institute for Global Health · ESBiogipuzkoa Health Research Institute · ESHospital Universitario Puerta de Hierro Majadahonda · ESPompeu Fabra University · ESUniversidad de Cantabria · ESUniversidad de León · ESUniversidad de Murcia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) screening of the average risk population is only indicated according to age. We aim to elaborate a model to stratify the risk of CRC by incorporating environmental data and single nucleotide polymorphisms (SNP). The MCC-Spain case-control study included 1336 CRC cases and 2744 controls. Subjects were interviewed on lifestyle factors, family and medical history. Twenty-one CRC susceptibility SNPs were genotyped. The environmental risk model, which included alcohol consumption, obesity, physical activity, red meat and vegetable consumption, and nonsteroidal anti-inflammatory drug use, contributed to CRC with an average per factor OR of 1.36 (95% CI 1.27 to 1.45). Family history of CRC contributed an OR of 2.25 (95% CI 1.87 to 2.72), and each additional SNP contributed an OR of 1.07 (95% CI 1.04 to 1.10). The risk of subjects with more than 25 risk alleles (5

Indexed as

Environmental ExposureCase-Control StudiesColorectal NeoplasmsGene FrequencyHumansModels, StatisticalPolymorphism, Single NucleotideRisk AssessmentSpain

Identifiers

PMID28233817
PMCPMC5324108
OpenAlexW2589824458

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.