Evidence map›Paper›PMID 30041496›Full record

ReviewNutrients2018

Nutrients in Fish and Possible Associations with Cardiovascular Disease Risk Factors in Metabolic Syndrome.

Christine Tørris, Milada Cvancarova Småstuen, Marianne Molin

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
9.2field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 145 citations in OpenAlex.

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  20. Cross-sectional analysis of risk factors associated withFrontiers in cellular and infection microbiology · 2024
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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

3 authors at 1 institution in 1 country.

Christine TørrisFaculty of Health Science, Oslo Metropolitan University, Oslo, Norway. christine.torris@oslomet.no.
Milada Cvancarova SmåstuenFaculty of Health Science, Oslo Metropolitan University, Oslo, Norway. Milada-Cvancarova.Smastuen@oslomet.no.
Marianne MolinFaculty of Health Science, Oslo Metropolitan University, Oslo, Norway. Marianne.Molin@oslomet.no.
OsloMet – Oslo Metropolitan University · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-communicable diseases (NSDs) are responsible for two-thirds of all deaths globally, whereas cardiovascular disease (CVD) alone counts for nearly half of them. To reduce the impact of CVD, targeting modifiable risk factors comprised in metabolic syndrome (e.g., waist circumference, lipid profile, blood pressure, and blood glucose) is of great importance. Beneficial effects of fish consumption on CVD has been revealed over the past decades, and some studies suggest that fish consumption may have a protective role in preventing metabolic syndrome. Fish contains a variety of nutrients that may contribute to health benefits. This review examines current recommendations for fish intake as a source of various nutrients (proteins, n-3 fatty acids, vitamin D, iodine, selenium, and taurine), and their effects on metabolic syndrome and the CVD risk factors. Fatty fish is recommended due to its high levels of n-3 fatty acids, however lean fish also contains nutrients that may be beneficial in the prevention of CVD.

Indexed as

DietFishesAnimalsCardiovascular DiseasesFatty Acids, Omega-3HumansMetabolic SyndromeRisk FactorsFatty Acids, Omega-3amino acidscardiovascular diseasecardiovascular riskdietfatty fishfish consumptionlean fishmetabolic syndromenutrientsprotein

Identifiers

PMID30041496
PMCPMC6073188
OpenAlexW2883810313

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.