Evidence map›Paper›PMID 39882282›Full record

ArticleBMJ nutrition, prevention & health2024

Comparison of the effect of medium-chain fatty acids and long-chain fatty acids on postprandial appetite and lipemia: a randomised crossover trial.

Ruaa Jadallah, Shatha S Hammad

Registry-linked trialAbstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05539742 (Comparison of the Effect of Medium-Chain Fatty Acids and Long-Chain Fatty Acids on Postprandial Appetite and Lipemia), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

NCT05539742 nacompletednot on this map

Comparison of the Effect of Medium-Chain Fatty Acids and Long-Chain Fatty Acids on Postprandial Appetite and Lipemia

TypeinterventionalSponsorUniversity of JordanRan2022 to 2022Enrolled26ConditionsLipemiaArmsCoconut oil, Palm oil
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

2 authors.

Ruaa JadallahDepartment of Nutrition and Food Technology, The University of Jordan, Amman, Jordan.
Shatha S HammadDepartment of Nutrition and Food Technology, The University of Jordan, Amman, Jordan.ORCID 0000-0002-7877-1011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postprandial lipemia (PPL) has been recognised as a cardiovascular disease risk factor. Appetite and PPL can be influenced by the length of saturated fatty acids (FAs). Thus, this study aims to investigate if different FA chain lengths have different impacts on appetite and PPL in healthy volunteers. Methods: This is a randomised crossover single-blinded intervention study of 20 healthy adults. Coconut oil and palm oil were consumed in the form of biscuits. Blood serum samples were withdrawn after an overnight fast and 1, 2, 4 and 6 hours after eating the test meals and examined for blood lipid profile (total cholesterol (TC), high-density lipoprotein (HDL) and triglycerides (TG)), while Friedewald's equation was used to calculate low-density lipoprotein (LDL). Visual analogue scales were used by participants to rate their appetites, and an ad libitum meal was weighed to determine the energy intake. Results: The net area under the curve of TG and TC following the coconut oil were significantly lower than following the palm oil ( Conclusion: The selection of FA chain length may influence PPL, and thus cardiovascular disease risk in a way that is functionally significant. However, this study detected no influence of FA chain length on appetite up to 40 hours post-treatment. Trial registration number: NCT05539742.

Indexed as

Lipid loweringMetabolic syndrome

Identifiers

PMID39882282
PMCPMC11773652

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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.