Evidence map›Paper›PMID 34836400›Full record

ReviewNutrients2021

Which Microbes Like My Diet and What Does It Mean for My Heart?

Emilia Sawicka-Śmiarowska, Anna Moniuszko-Malinowska, Karol Adam Kamiński

Abstract readReview
In one paragraph

Review in Nutrients, 2021. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

3 authors.

Emilia Sawicka-ŚmiarowskaDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0002-8306-1882
Anna Moniuszko-MalinowskaDepartment of Infectious Diseases and Neuroinfection, Medical University of Bialystok, 15-540 Bialystok, Poland.
Karol Adam KamińskiDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0002-9465-2581

Funding

Medical University of Bialystok Statutory grantsNational Science Centre, Poland 2017/25/N/NZ5/02765
6 · The paper itself

Abstract

Cardiovascular diseases are the most common causes of hospitalization, death and disability in Europe. Despite our knowledge of nonmodifiable and modifiable cardiovascular classical risk factors, the morbidity and mortality in this group of diseases remains high, leading to high social and economic costs. Therefore, it is necessary to explore new factors, such as the gut microbiome, that may play a role in many crucial pathological processes related to cardiovascular diseases. Diet is a potentially modifiable cardiovascular risk factor. Fats, proteins, carbohydrates, vitamins and minerals are nutrients that are essential to the proper function of the human body. The style and composition of the human diet has changed over time, evolving from a hunter-gatherer diet to an industrialized and Westernized modern diet that includes processed products. The relationship between the gut microbiome, diet and cardiovascular diseases is complex and still not fully understood. In this review, we discuss, in the context of diet, why particular microbes occur in individuals and how they can influence the host's cardiovascular system in health and disease. We investigate the role of particular microorganisms and changes in the

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesCardiovascular SystemDietEatingEuropeGastrointestinal MicrobiomeHumansNutritional Physiological Phenomenacardiovascular diseasescardiovascular risk factorsdietgut microbiomeheart

Identifiers

PMID34836400
PMCPMC8625446

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.