Evidence map›Paper›PMID 21247502›Full record

SynthesisBMC cancer2011

Fish consumption and the risk of gastric cancer: systematic review and meta-analysis.

Shengjun Wu, Jie Liang, Lei Zhang, Xia Zhu, Xufeng Liu, Danmin Miao

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 8 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

22 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  8. Meat consumption and risk of lung cancer: evidence from observational studies.Annals of oncology : official journal of the European Society for Medical Oncology · 2012
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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

6 authors.

Shengjun WuDepartment of Psychology, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, Shaanxi, PR China.
Jie Liang
Lei Zhang
Xia Zhu
Xufeng Liu
Danmin Miao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer is the fourth most frequently occurring malignancy after lung, breast, and colorectal cancer, and the second most common cause of death from cancer worldwide. Epidemiologic studies have examined the possible association between fish consumption and gastric cancer, but the results were inconclusive. We conducted a systematic review and meta-analysis to examine the association between fish intake and the risk of gastric cancer.

methodsPubMed was searched for studies published in English-language journals from 1991 through 2009. We identified 17 epidemiologic studies (15 case-control and 2 cohort studies) that included relative risks (RRs) or odds ratios (ORs) estimates with 95% confidence intervals (CIs) of the relationship between gastric cancer and fish consumption. Data were extracted using standardized data forms. Summary RRs or ORs for the highest versus non/lowest fish consumption levels were calculated using random-effects model. Heterogeneity among studies was examined using Q and I2 statistics.

resultsIn this study, 5,323 cases of gastric cancer and over 130,000 non-cases were included. The combined results from all studies indicated that the association between high fish consumption and reduced gastric cancer risk was not statistically insignificant (RR = 0.87, 95% CI = 0.71-1.07).

conclusionsCurrent evidence indicated that the association between fish consumption and risk of gastric cancer remains unclear.

Indexed as

FishesSeafoodAnimalsFatty Acids, Omega-3HumansRisk AssessmentRisk FactorsStomach NeoplasmsFatty Acids, Omega-3

Identifiers

PMID21247502
PMCPMC3037921

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.