Evidence map›Paper›PMID 39323693›Full record

ArticleCureus2024

Clinical Management of Metabolic Syndrome Among the Population Attending Geriatric Outpatient Clinics in Qatar.

Susan Mohieldeen Osman, Brijesh Sathian, Biju Bhaskaran, Marwan Ramadan, Haroon Saleh, Asma Abbas, Hanadi Al Hamad

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Susan Mohieldeen OsmanGeriatrics and Long-Term Care Department, Rumailah Hospital, Hamad Medical Corporation, Doha, QAT.
Brijesh SathianGeriatrics and Long-Term Care Department, Rumailah Hospital, Hamad Medical Corporation, Doha, QAT.
Biju BhaskaranGeriatrics and Long-Term Care Department, Rumailah Hospital, Hamad Medical Corporation, Doha, QAT.
Marwan RamadanGeriatrics and Long-Term Care Department, Rumailah Hospital, Hamad Medical Corporation, Doha, QAT.
Haroon SalehGeriatrics and Long-Term Care Department, Rumailah Hospital, Hamad Medical Corporation, Doha, QAT.
Asma AbbasGeriatrics and Long-Term Care Department, Rumailah Hospital, Hamad Medical Corporation, Doha, QAT.
Hanadi Al HamadGeriatrics and Long-Term Care Department, Rumailah Hospital, Hamad Medical Corporation, Doha, QAT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionResearch on the clinical management of metabolic syndrome (MetS) among older individuals in Qatar is limited. This study aimed to determine the clinical management of MetS and associated risk factors.

methodsA retrospective study was conducted to examine the risk factors for MetS (hypertension, diabetes mellitus, obesity, and hyperlipidemia) among patients aged ≥ 60 years who visited geriatric outpatient clinics in Rumailah Hospital, Doha, Qatar between November 1, 2016, and November 1, 2018.

resultsThe mean age of the patients was 70.1 years, and 50% were male. Of the study population, 97% had MetS with a 95% confidence interval (95.3-98.7). In addition, 45.5% of the patients were obese, 97.75% had diabetes mellitus, and 98.25% had hypertension. The most commonly prescribed medications for treatment included amlodipine for hypertension, metformin for diabetes mellitus, rosuvastatin for lipid reduction, and bisoprolol for cardiovascular management.

conclusionThis study found that MetS is common among the population attending geriatric outpatient clinics in Qatar. The majority of these individuals had high rates of diabetes, hypertension, and dyslipidemia. The early identification of at-risk patients through exercise programs may also delay or reverse the risks associated with MetS. More research, especially prospective and population-based studies, is required to improve preventative efforts and optimize treatment options for metabolic syndrome in older persons in Qatar.

Indexed as

diabetes mellitushypertensionmetabolic syndromeobesityolder adults

Identifiers

PMID39323693
PMCPMC11423930

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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.