Evidence map›Paper›PMID 30423840›Full record

ReviewNutrients2018

Spices and Atherosclerosis.

Pi-Fen Tsui, Chin-Sheng Lin, Ling-Jun Ho, Jenn-Haung Lai

Abstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

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

17 citing papers in PubMed.

  1. Article
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  17. Immunity against COVID-19: Potential role ofJournal of Ayurveda and integrative medicine
    Review
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

4 authors.

Pi-Fen TsuiGraduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan. befun1214@gmail.com.
Chin-Sheng LinDivision of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan. littlelincs@gmail.com.ORCID 0000-0002-5167-8327
Ling-Jun HoInstitute of Cellular and System Medicine, National Health Research Institute, Zhunan 35053, Taiwan. lingjunho@nhri.org.tw.ORCID 0000-0003-3453-2913
Jenn-Haung LaiDivision of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University, Tao-Yuan 33305, Taiwan. laiandho@gmail.com.

Funding

Ministry of National Defense-Medical Affairs Bureau MAB-107-055Ministry of Science and Technology, Taiwan MOST 106-2314-B-016 -038 -MY3Tri-Service General Hospital TSGH-C106-007-S02
6 · The paper itself

Abstract

Cardiovascular disease is one of the leading causes of death and disability in the world. Atherosclerosis, characterized by lipid accumulation and chronic inflammation in the vessel wall, is the main feature of cardiovascular disease. Although the amounts of fruits and vegetables present in the diets vary by country, diets, worldwide, contain large amounts of spices; this may have positive or negative effects on the initiation and development of atherosclerosis. In this review, we focused on the potential protective effects of specific nutrients from spices, such as pepper, ginger, garlic, onion, cinnamon and chili, in atherosclerosis and atherosclerotic cardiovascular disease. The mechanisms, epidemiological analysis, and clinical studies focusing on a variety of spices are covered in this review. Based on the integrated information, we aimed to raise specific recommendations for people with different dietary styles for the prevention of atherosclerotic cardiovascular disease through dietary habit adjustments.

Indexed as

DietFeeding BehaviorMagnoliopsidaPhytotherapySpicesAtherosclerosisHumansPlant ExtractsPlant Extractsatherosclerosisatherosclerotic cardiovascular diseasenutrientsspices

Identifiers

PMID30423840
PMCPMC6266658

What OpenQuestion holds

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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.