Evidence map›Paper›PMID 38371043›Full record

ArticleCureus2024

Dementia and Multimorbidity Trends in Al-Baha, Saudi Arabia: An Analytical Retrospective Study Using Records-Based Data.

Saba Beigh, Remas Adnan, Al-Johrah Abdulaziz, Samia Abdullah, Nada Nasser, Rana Ghazzay, Ruba Abdulaziz, Ethar Mohammed, Rabab Morsy Ahmad, Mohammed Ali Alshehri

Open access · diamondAbstract 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 1 institution in 1 country.

Saba BeighPublic Health, Albaha University, Al-Baha, SAU.
Remas AdnanPublic Health, Albaha University, Al-Baha, SAU.
Al-Johrah AbdulazizPublic Health, Albaha University, Al-Baha, SAU.
Samia AbdullahPublic Health, Albaha University, Al-Baha, SAU.
Nada NasserPublic Health, Albaha University, Al-Baha, SAU.
Rana GhazzayPublic Health, Albaha University, Al-Baha, SAU.
Ruba AbdulazizPublic Health, Albaha University, Al-Baha, SAU.
Ethar MohammedPublic Health, Albaha University, Al-Baha, SAU.
Rabab Morsy AhmadPublic Health, Albaha University, Al-Baha, SAU.
Mohammed Ali AlshehriPublic Health, Albaha University, Al-Baha, SAU.
Al Baha University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of dementia is escalating significantly, posing a substantial societal burden. Currently, there exists a dearth of comprehensive health data about dementia patients in Saudi Arabia, particularly within Al-Baha City.

methodsA retrospective case-series study was undertaken to ascertain the prevalence of dementia within the populace of the Al-Baha region, Kingdom of Saudi Arabia. This investigation utilized hospital-based records encompassing individuals exhibiting symptoms or diagnosed with dementia and its related forms across the Al-Baha region. Furthermore, the study aimed to evaluate the burden of comorbidities among dementia patients and document the pharmacological therapeutic interventions administered to manage dementia and its associated concurrent health conditions.

resultsOur investigation explored the prevalence rates of various forms of dementia and the accompanying comorbidities among affected individuals. The study spanned from August 2020 to August 2023. Our study encompassed 407 patients diagnosed with Alzheimer's disease (AD), Parkinson's disease, vascular dementia (VaD), or other forms of dementia who were either admitted to or attended tertiary hospitals in Al-Baha. Assessment of the comorbidity burden was conducted using the Charlson Comorbidity Index (CCI). Our findings revealed that among these patients, 13.3% presented with AD, 23.6% with VaD, 33.4% with Parkinson's disease, 15.75% with amnesia, and 14.0% with other types of dementia. The spectrum of comorbidities observed among dementia patients encompassed various conditions, with diabetes mellitus emerging as the predominant comorbidity (19.1%), followed by hypertension (16.4%). Additionally, manifestations of depression were noted in 14% of patients, while 9.82% suffered from paralysis. Chronic conditions such as cancer, chronic obstructive pulmonary disorder (COPD), and cervical spondylosis were also observed among individuals afflicted with dementia and its varied forms. Statistically significant correlations were established between gender, age, nationality, comorbidities, and the prevalence of dementia. Therapeutic interventions in the form of pharmacological treatments were prescribed for dementia patients with comorbidities. Commonly administered medications included Amlod (6.3%), Amlodipine (6.6%), Amlor (5.8%), Aspirin (10.5%), chemotherapeutic drugs (4.4%), Glipizide (8.5%), Lantus (11.3%), Levodopa (23.5%), Metformin (7.8%), acetylcholinesterase inhibitors (6.8%), and Pulmicort (7.86%). These medications aimed to alleviate symptoms associated with dementia and its accompanying comorbidities.

conclusionsOur investigation underscores the substantial burden of comorbidities experienced by dementia patients. These findings offer crucial insights into the overall health status of individuals grappling with dementia, serving as a catalyst for increased awareness among clinicians and policymakers. Such awareness can drive improvements in medical care and support frameworks tailored to the specific needs of dementia patients.

Indexed as

alzheimer’s diseasecomorbiditiesdementianeurological disordersparkinson’s diseasetherapeutic regimen

Identifiers

PMID38371043
PMCPMC10874241
OpenAlexW4390972287

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.