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Fish consumption and risk of myeloma: a meta-analysis of epidemiological studies

Overview of attention for article published in Cancer Causes & Control, July 2015
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38 Mendeley
Title
Fish consumption and risk of myeloma: a meta-analysis of epidemiological studies
Published in
Cancer Causes & Control, July 2015
DOI 10.1007/s10552-015-0625-1
Pubmed ID
Authors

Ya-Zhu Wang, Qi-Jun Wu, Jingjing Zhu, Lang Wu

Abstract

The relationship between fish consumption and multiple myeloma (MM) risk has not been consistent across epidemiological studies. We quantitatively assessed the aforementioned association through a systematic review and meta-analysis. PubMed was searched through the end of March 2015 for eligible studies. Fixed or random effects models were used to pool risk estimates. Five case-control studies that involved 1,366 cases and 8,259 controls were identified. Three studies had high methodological quality, and two studies had low quality based on the Newcastle-Ottawa Quality Assessment Scale. After pooling all risk estimates, a significant inverse association was found between the highest category versus lowest category of fish consumption and MM risk (relative risk = 0.65, 95 % confidence interval = 0.46-0.91), with relatively high heterogeneity (I (2) = 55.6 %). No evidence of publication bias was detected. The inverse association persisted in all subgroups according to study quality, type, location, and whether there were adjustments for confounders, although statistical significance was not detected in all strata. The dose-response analysis suggested a nonlinear dose-response relationship for the association, with the lowest risk linked to fish consumption once per week. This meta-analysis suggests that the highest versus lowest category of fish consumption is inversely associated with MM risk. Furthermore, a nonlinear dose-response relationship was suggested for the association. Because this evidence is based on a small number of retrospective studies with mixed quality and because high heterogeneity was detected, further prospective studies are warranted to validate our findings and better characterize the relationship.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 13%
Student > Postgraduate 4 11%
Student > Bachelor 3 8%
Librarian 3 8%
Student > Master 3 8%
Other 7 18%
Unknown 13 34%
Readers by discipline Count As %
Medicine and Dentistry 12 32%
Nursing and Health Professions 5 13%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Other 3 8%
Unknown 14 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 February 2016.
All research outputs
#14,938,988
of 23,854,458 outputs
Outputs from Cancer Causes & Control
#1,523
of 2,187 outputs
Outputs of similar age
#137,147
of 265,190 outputs
Outputs of similar age from Cancer Causes & Control
#20
of 32 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,187 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.