Evidence map›Paper›PMID 26380002›Full record

ArticleInternational journal of clinical and experimental medicine2015

Association between coffee consumption and the risk of oral cancer: a meta-analysis of observational studies.

Ying Zhang, Xi Wang, Dan Cui

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. A Decade of Research on Coffee as an Anticarcinogenic Beverage.Oxidative medicine and cellular longevity · 2021
    Review
  6. Article
  7. 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

3 authors at 1 institution in 1 country.

Ying ZhangDepartment of Emergency, School of Stomatology, China Medical University No. 117 North Nanjing Road, Shenyang 110001, China.
Xi WangDepartment of Emergency, School of Stomatology, China Medical University No. 117 North Nanjing Road, Shenyang 110001, China.
Dan CuiDepartment of Emergency, School of Stomatology, China Medical University No. 117 North Nanjing Road, Shenyang 110001, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveQuantification of the association between the coffee consumption and risk of oral cancer is still conflicting. Thus, we conducted a meta-analysis to summarize the evidence from epidemiological studies of coffee consumption with the risk of oral cancer.

methodsPertinent studies were identified by a search of PubMed and Web of Knowledge to March 2015. The random effect model was used. Sensitivity analysis and publication bias were conducted.

resultsData from 12 studies including 4,037 oral cancer cases and 1,872,231 participants were used in this meta-analysis. Pooled results suggested that highest coffee consumption amount versus lowest amount was significantly associated with the risk of oral cancer [summary relative risk (RR) = 0.694, 95% CI = 0.543-0.886, I(2) = 65.0%]. The association was also significant in Europe [summary RR = 0.571, 95% CI = 0.378-0.863], but not in America. No publication bias was found.

conclusionsOur analysis suggested that the higher coffee consumption might reduce the risk of oral cancer, especially in Europe.

Indexed as

Coffee consumptionmeta-analysisoral cancer

Identifiers

PMID26380002
PMCPMC4565385
OpenAlexW2419078654

What OpenQuestion holds

Textmetadata
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.