Evidence map›Paper›PMID 29863027›Full record

SynthesisJournal of epidemiology2018

A Dose-Response Meta-analysis of Coffee Consumption and Colorectal Cancer Risk in the Japanese Population: Application of a Cubic-Spline Model.

Ken Horisaki, Kunihiko Takahashi, Hidemi Ito, Shigeyuki Matsui

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 6 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

10 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  7. Review
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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

4 authors.

Ken HorisakiDepartment of Biostatistics, Nagoya University Graduate School of Medicine.ORCID http://orcid.org/0000-0002-4497-6246
Kunihiko TakahashiDepartment of Biostatistics, Nagoya University Graduate School of Medicine.ORCID http://orcid.org/0000-0003-2387-7772
Hidemi ItoDivision of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute.ORCID http://orcid.org/0000-0002-8023-4581
Shigeyuki MatsuiDepartment of Biostatistics, Nagoya University Graduate School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA recent meta-analysis compared the relative risks of colorectal cancer between the highest and lowest levels of coffee consumption in the Japanese population. However, this analysis did not define the risks with respect to specific exposure values when considering levels of coffee consumption per day in the study population.

methodsWe conducted a two-stage random-effects dose-response meta-analysis of the association between coffee consumption and colorectal cancer among the Japanese. This was performed by modeling coffee consumption using restricted cubic splines to be able to examine a potential nonlinear relation.

resultsWe identified a total of 26 studies from seven articles, which were distributed separately according to sex and colon/rectum cancers. Data from 14 cohort studies showed that the pooled relative risks for colorectal cancers were less than 1.0 in cases with coffee consumption of 1-3 cups/day and 1.0 in cases with consumption of 4 cups/day or more, although these results were not statistically significant. Data from 12 case-control studies showed that the pooled odds ratios for cancer risk were significantly less than 1.0 in cases with coffee consumption of 1-6 cups/day.

conclusionsFindings from this meta-analysis indicate that moderate coffee consumption may not be associated or may be weakly inversely associated with the risk of colorectal cancer in the Japanese population.

Indexed as

CoffeeCase-Control StudiesColorectal NeoplasmsDose-Response Relationship, DrugHumansJapanModels, StatisticalRisk FactorsCoffeecoffee consumptioncolorectal cancercubic spline modeldose-responsemeta-analysis

Identifiers

PMID29863027
PMCPMC6242789

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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.