Evidence map›Paper›PMID 28445129›Full record

SynthesisOncotarget2017

Tea consumption and the risk of ovarian cancer: A meta-analysis of epidemiological studies.

Xin Zhan, Jie Wang, Shufen Pan, Caijuan Lu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 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, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Prevention of Epithelial Ovarian Cancer.Cold Spring Harbor perspectives in medicine · 2023
    Review
  9. Review
  10. Phytochemicals in Gynecological Cancer Prevention.International journal of molecular sciences · 2021
    Review
  11. 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

4 authors.

Xin ZhanObstetrics and Gynecology Department, Hangzhou First People's Hospital, Hangzhou, Zhejiang 310006, PR China.
Jie WangObstetrics and Gynecology Department, The First Affiliated Hospital of Zhejiang Chinese Medical University Zhejiang Provincial Hospital of TCM, Hangzhou, Zhejiang 310016, PR China.
Shufen PanDepartment of Obstetrics and Gynecology, Central Hospital of Wenzhou, Luchengqu, Wenzhou, Zhejiang 325000, PR China.
Caijuan LuObstetrics and Gynecology Department, Hangzhou First People's Hospital, Hangzhou, Zhejiang 310006, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of epidemiological studies have provided conflicting results about the relationship between tea consumption and ovarian cancer. This study aimed to clarify the association between tea consumption and ovarian cancer. A literature search of the MEDICINE, Scopus, PubMed, and Web of Science databases was performed in April 2016. A total of 18 (11 case-control and 7 cohort) studies, representing data for 701,857 female subjects including 8,683 ovarian cancer cases, were included in the meta-analysis. A random-effects meta-analysis was used to compute the pooled relative risks (RR), meta regression, and publication bias, and heterogeneity analyses were performed for the included trials. We found that tea consumption had a significant protective effect against ovarian cancer (relative risk [RR] = 0.86; 95% confidence interval [CI]: 0.76, 0.96). The relationship was confirmed particularly after adjusting for family history of cancer (RR = 0.85; 95% CI: 0.72, 0.97), menopause status (RR = 0.85; 95% CI: 0.72, 0.98), education (RR = 0.82; 95% CI: 0.68, 0.96), BMI (RR = 0.85; 95% CI: 0.70, 1.00) , smoking (RR = 0.83; 95% CI: 0.72, 0.93) and Jadad score of 3 (RR = 0.76; 95% CI: 0.56, 0.95) and 5 (RR = 0.74; 95% CI: 0.59, 0.89). The Begg's and Egger's tests (all P > 0.01) showed no evidence of publication bias. In conclusion, our meta-analysis showed an inverse association between tea consumption and ovarian cancer risk. High quality cohort-clinical trials should be conducted on different tea types and their relationship with ovarian cancer.

Indexed as

Epidemiologic StudiesFemaleHumansOvarian NeoplasmsRisk FactorsTeaTeameta-analysisovarian cancertea

Identifiers

PMID28445129
PMCPMC5514950

What OpenQuestion holds

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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.