Evidence map›Paper›PMID 37777274›Full record

ReviewSaudi medical journal2023

Understanding the prevalence, progression, and management of metabolic syndrome in Saudi Arabia.

Faez Falah Alshehri

Open access · diamondAbstract readReview
In one paragraph

Review in Saudi medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Ajwa date extract (Saudi medical journal · 2025
    Article
  7. Article
  8. 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

1 author at 1 institution in 1 country.

Faez Falah AlshehriFrom the Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Shaqra University, Shaqra, Kingdom of Saudi Arabia.ORCID https://orcid.org/0000-0001-7991-0987
Shaqra University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) is characterized by the coexistence of several disorders comprising hypertension, abdominal obesity, insulin sensitivity, and dyslipidemia. In recent times, MetS has gained increased attention due to the global prevalence of obesity. Adipose tissue plays a crucial role in this syndrome by releasing various molecules significantly affecting lipid/insulin regulation, oxidative stress, and cardiovascular function. Tumor necrosis factor-α (p-α), an inflammatory cytokine, and adiponectin, an adipose tissue-specific protein, are considered vital adipokines that play a significant role in the pathogenesis of MetS. The impact of dietary ingredients on MetS management has been extensively studied over the past few decades. These plant-derived natural chemicals have demonstrated beneficial impacts on obesity, diabetes, and cardiovascular disease (CVD) due to their diverse properties. Saudi Arabia has a high prevalence of overweight and diabetes, but there has been limited research on the incidence of MetS in the country. As a result, in this review, we evaluated the prevalence of MetS in Saudi Arabia and its associated risk factors, as well as explored the mechanisms of progression of MetS and the role of natural phytochemicals in the prevention of MetS.

Indexed as

Diabetes MellitusInsulin ResistanceMetabolic SyndromeHumansObesityPrevalenceRisk FactorsSaudi Arabiadiabeteshypertensioninsulin resistancemetabolic syndrome (MetS)obesityphytochemicals

Identifiers

PMID37777274
PMCPMC10541973
OpenAlexW4387212528

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.