Evidence map›Paper›PMID 36304671›Full record

ArticleInternational journal of general medicine2022

Patterns of Dyslipidemia in the Anemic and Nonanemic Hypertensive Saudi Population: A Cross-Sectional Study.

Mohammad A Alfhili, Jawaher Alsughayyir, Ahmed M Basudan, Hazem K Ghneim, Mohammed Alfaifi, Hassan S Alamri, Zuhier A Awan, Mohammed R Algethami

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Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

8 authors.

Mohammad A AlfhiliChair of Medical and Molecular Genetics Research, Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-3095-9154
Jawaher AlsughayyirDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Ahmed M BasudanChair of Medical and Molecular Genetics Research, Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-6689-7004
Hazem K GhneimChair of Medical and Molecular Genetics Research, Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Mohammed AlfaifiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Hassan S AlamriDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia.
Zuhier A AwanDepartment of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0002-4176-335X
Mohammed R AlgethamiMinistry of Health, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Risk factors of cardiovascular disease include dyslipidemia, hypertension (HTN), and anemia. Our objective is to assess the patterns of dyslipidemia in the anemic and non-anemic hypertensive Saudi population. Methods: A retrospective, cross-sectional study of the gender, blood pressure, lipid markers, and CBC parameters of 3111 subjects, which were retrieved from the database of Al-Borg Medical Laboratories over a six-year period (2014-2019), was carried out. Means were compared among study groups and the prevalence, association, and diagnostic accuracy of lipid markers for HTN were evaluated. Results: TG, LDL/HDL, and TG/HDL were significantly higher ( Conclusion: The anemic state of hypertensive Saudi patients influences dyslipidemia which warrants further investigation.

Indexed as

anemiadyslipidemiahypertensionprevalenceSaudi Arabia

Identifiers

PMID36304671
PMCPMC9595128

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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.