ReviewPublic health nutrition2018
Replacement of saturated and trans-fatty acids in the diet v. CVD risk in the light of the most recent studies.
Review in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Association Between Dietary Fatty Acid Intake With Cardiovascular Disease Risk and Serum Lipid Levels.Endocrinology, diabetes & metabolism · 2026Article
- Preventing premature cardiovascular mortality: the role of lifestyle interventions and pharmacotherapy-a narrative review.Frontiers in cardiovascular medicine · 2025Review
- Fatty acid profiles unveiled: gene expression in Yanbian yellow cattle adipose tissues offers new insights into lipid metabolism.Archives animal breeding · 2024Article
- Trans-Fatty Acids in Fast-Food and Intake Assessment for Yerevan's Population, Armenia.Foods (Basel, Switzerland) · 2022Article
- Vegan Alternatives to Processed Cheese and Yogurt Launched in the European Market during 2020: A Nutritional Challenge?Foods (Basel, Switzerland) · 2021Article
- Indicators and Recommendations for Assessing Sustainable Healthy Diets.Foods (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo present and discuss results of the most recent studies pertaining to the effects of consumption of different types of fatty acids on the risk of CVD. The aim was also an attempt to answer the question of whether a revision of the current recommendations is necessary.
designA review of prospective cohort studies, systematic reviews and meta-analyses published in 2014-2017 on the effects of SFA and trans-fatty acid (TFA) intakes as well as various models of their replacement in the diet on CVD risk.
resultsResults of the new large prospective cohort studies pertaining to the effect of SFA consumption on CVD risk are contradictory. Similarly, the recent meta-analyses of clinical trials related to the effects of SFA substitution on CVD risk provided extremely different results, which is related to the application of different inclusion and exclusion criteria. Differences in results of randomised controlled trials may be caused by different methodologies of dietary parameter changes, varying duration of studies, as well as the time at which they were carried out.
conclusionsIt is extremely difficult to extrapolate results of recent studies to contemporary recommendations. It seems that there is a need for properly randomised studies on large groups, with good control of dietary and non-dietary parameters, which account for not only the sum of SFA and TFA, but also their source. Only such studies will allow for full evaluation of an effect of substituting SFA and TFA on cardiovascular risk.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.