Evidence map›Paper›PMID 26862830›Full record

ArticleEuropean journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)2017

Development of a prediction model and estimation of cumulative risk for upper aerodigestive tract cancer on the basis of the aldehyde dehydrogenase 2 genotype and alcohol consumption in a Japanese population.

Yuriko N Koyanagi, Hidemi Ito, Isao Oze, Satoyo Hosono, Hideo Tanaka, Tetsuya Abe, Yasuhiro Shimizu, Yasuhisa Hasegawa, Keitaro Matsuo

Open access · hybridAbstract read
In one paragraph

Article in European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Genetic susceptibility, risk prediction, and druggable targets for oropharyngeal cancer: a UK Biobank study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Risk prediction models for head and neck cancer: A rapid review.Laryngoscope investigative otolaryngology · 2022
    Review
  11. Article
  12. Article
  13. The impact ofAging · 2022
    Article
  14. Article
  15. Article
  16. Association between ALDH2 and ADH1B polymorphisms, alcohol drinking and gastric cancer: a replication and mediation analysis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2018
    Article
  17. Review
  18. Review
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

9 authors at 3 institutions in 2 countries.

Yuriko N KoyanagiaDepartment of Preventive Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka bDivision of Epidemiology and Prevention cDivision of Molecular Medicine, Aichi Cancer Center Research Institute Departments of dGastrointestinal Surgery eHead and Neck Surgery, Aichi Cancer Center Hospital fDepartment of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hidemi Ito
Isao Oze
Satoyo Hosono
Hideo Tanaka
Tetsuya Abe
Yasuhiro Shimizu
Yasuhisa Hasegawa
Keitaro Matsuo
Aichi Cancer Center · JPNagoya University · JPKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol consumption and the aldehyde dehydrogenase 2 (ALDH2) polymorphism are associated with the risk of upper aerodigestive tract cancer, and a significant gene-environment interaction between the two has been confirmed in a Japanese population. To aid the development of a personalized prevention strategy, we developed a risk-prediction model and estimated absolute risks stratified by a combination of the ALDH2 genotype and alcohol consumption. We carried out two age-matched and sex-matched case-control studies: one (630 cases and 1260 controls) for model derivation and the second (654 cases and 654 controls) for external validation. On the basis of data from the derivation study, a prediction model was developed by fitting a conditional logistic regression model using the following predictors: age, sex, smoking, drinking, and the ALDH2 genotype. The risk model, including a combination of the ALDH2 genotype and alcohol consumption, provided high discriminatory accuracy and good calibration in both the derivation and the validation studies: C statistics were 0.82 (95% confidence interval 0.80-0.84) and 0.83 (95% confidence interval 0.81-0.85), respectively, and the calibration plots of both studies remained close to the ideal calibration line. Cumulative risks were obtained by combining odds ratios estimated from the risk model with the age-specific incidence rate and population size. For heavy drinkers with a heterozygous genotype, the cumulative risk at age 80 was above 20%. In contrast, risk in the other groups was less than 5%. In conclusion, modification of alcohol consumption according to the ALDH2 genotype will have a major impact on upper aerodigestive tract cancer prevention. These findings represent a simple and practical model for personalized cancer prevention.

Indexed as

Aldehyde Dehydrogenase, MitochondrialAsian PeopleGenotypeAdultAgedAlcohol DrinkingCase-Control StudiesEsophageal NeoplasmsFemaleGene-Environment InteractionGenetic Predisposition to DiseaseHumansMaleMiddle AgedModels, TheoreticalPopulation SurveillanceAldehyde Dehydrogenase, MitochondrialALDH2 protein, human

Identifiers

PMID26862830
PMCPMC5142363
OpenAlexW2312194601

What OpenQuestion holds

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LicenceCC BY-NC
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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.