Evidence map›Paper›PMID 35637823›Full record

ReviewCureus2022

Are We Nuts Over Coconuts? Studying the Effects of Coconut Oil on Low-Density Lipoprotein and Cardiovascular Diseases: A Systematic Review.

Supriya Sekhar, Surabhi Makaram Ravinarayan, Ann Kashmer D Yu, Fatma Kilic, Raghav Dhawan, Rubani Sidhu, Shahd E Elazrag, Manaal Bijoora, Lubna Mohammed

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors at 1 institution in 1 country.

Supriya SekharInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Surabhi Makaram RavinarayanPaediatrics, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Ann Kashmer D YuInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Fatma KilicPlastic and Reconstructive Surgery, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Raghav DhawanAnesthesiology, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Rubani SidhuPsychiatry, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Shahd E ElazragInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Manaal BijooraResearch and Development, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Lubna MohammedInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
California Institute of Behavioral Neurosciences and Psychology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coconut oil has been gaining popularity recently, especially with health enthusiasts claiming it to be the best fat for consumption. What is the ideal cooking fat? The answer that we are all looking for is just not solely based on one health consequence but several. Our study focuses on the cardiovascular aspects of using coconut oil by its influence on low-density lipoprotein (LDL). Cardiovascular diseases (CVDs) are the major cause of death and mortality worldwide. Hence, they are the focus of this study. For centuries, coconut oil has been used by several populations worldwide who consume it as part of their staple diets. However, they have also been consuming the flesh/meat of coconuts and decreased processed foods. One such population is the pacific islanders, who had increased LDL and decreased high-density lipoprotein (HDL) when they moved out of their natural habitat and accepted a more westernized diet. Even though coconut oil has a stronghold on the LDL aspect of the lipid parameters, which is our study's focus, it also increases HDL, whose effects on cardiovascular health are still controversial although it is called "good cholesterol." Cardiologists now utilize the ratio of total to HDL cholesterol to assess CVD risk more reliably. There have not been many human studies to support coconut oil's LDL and CVD advantages, considering all these variables. A thorough search of five databases, including PubMed, PubMed Central, Google Scholar, Cochrane Library, and ScienceDirect, was done. The last search was done on October 8th, 2021. Studies were selected based on the following criteria: last five years, English language, human studies, randomized controlled trials (RCTs), systematic reviews and meta-analysis, narrative reviews, and cross-sectional studies were included using medical subject headings (MeSH) search and keyword search. Eight hundred and ninety-nine articles were found, and eight papers were picked after quality appraisal. These included one narrative review, three RCTs, one cross-sectional study, and three systematic reviews and meta-analyses. The results showed that coconut oil did not behave differently than other saturated fats to reduce LDL. One study showed that coconut oil did not increase LDL compared to additional saturated fat like butter or lard. Coconut oil also has antioxidant properties that may prevent oxidative stress that affects cardiovascular health. However, studies in this sector are limited.

Indexed as

bad cholesterolcardiovascular diseasescoconut oilcocos nuciferacoronary artery diseaselipidslow-density lipoproteinmyocardial infarctionplant oils

Identifiers

PMID35637823
PMCPMC9132222
OpenAlexW4223946863

What Socratic 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 Socratic graph.