Evidence mapPaperPMID 39611388Full record

ArticleJournal of the American Heart Association2024

Disease Risk Score Derivation and Validation in Abu Dhabi, United Arab Emirates: A Retrospective Cohort Study.

Latifa Baynouna AlKetbi, Nico Nagelkerke, Noura AlAlawi, Ahmed Humaid, Rudina AlKetbi, Hamda Aleissaee, Noura AlShamsi, Hanan Abdulbaqi, Toqa Fahmawee, Basil AlHashaikeh and 29 more

Abstract readValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing 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

7 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

39 authors.

Latifa Baynouna AlKetbiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0000-0003-3976-2152
Nico NagelkerkeUnited Arab Emirates University Al Ain United Arab Emirates.
Noura AlAlawiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Ahmed HumaidAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Rudina AlKetbiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0009-2213-4353
Hamda AleissaeeAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0000-4452-5392
Noura AlShamsiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Hanan AbdulbaqiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Toqa FahmaweeAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0000-0003-2856-4791
Basil AlHashaikehAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Muna AlDobaeeAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0006-5547-8986
Mariam AlShamsiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0005-8895-3061
Nayla AlAhbabiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0005-1792-6066
AlYazia AlAzeeziAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0001-3418-0631
Fatima ShuaibAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0008-8112-3286
Jawaher AlnuaimiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0007-2511-6877
Esraa MahmoudAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0000-8025-4585
Alreem AlDhaheriAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Mohammed AlMansooriAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Sanaa AlKalbaniAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0005-7398-552X
Aysha AYahyaeeAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0007-9362-163X
Wesayef AlDerieAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0009-8030-1543
Ekram SaeedAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0000-3775-4138
Nouf AlMarzooqiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Ahmed AlHassaniAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Amira AlAhmadiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0005-7377-0203
Mohammad SahyouniAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0002-5672-2849
Farah AlFahmawiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Ali AlAlawiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Yusra SahaluAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Zinab AlAnsariAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Khadija DoucoureAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Rawan AshoorAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Reem AlShamsiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Maha AlAzeeziAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0003-0972-7089
Fatima AlMeqbaaliAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0000-0983-6419
Noor YahyaAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Shamma AlAlawiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.
Fatima AlKetbiAmbulatory Healthcare Services Abu Dhabi United Arab Emirates.ORCID 0009-0006-6048-6737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease risk assessment is a key tool in primary prevention. The ADRS (Abu Dhabi Risk Study) is a retrospective cohort study aiming to develop 10-year risk prediction equations for coronary artery disease (CAD), stroke, and atherosclerotic cardiovascular disease (ASCVD), and validate international risk equations. METHODS AND

resultsThe 8699 participants were examined in the Abu Dhabi cardiovascular screening program from 2011 to 2013 with a subsequent average follow-up of 9.2 years. They were assessed in 2023 for new CAD, admissions for acute coronary syndrome, or stroke. The validation cohort, 2554 subjects, is from the 2016 to 2017 Abu Dhabi community screening program, with 6.67 years average follow-up. Of 8504 ASCVD-free subjects, 250 experienced new CAD events. ASCVD risk factors in this population were age, sex, smoking, high cholesterol/high-density lipoprotein ratio, and diabetes diagnosis, in addition to low vitamin D level and low glomerular filtration rate. Three ADRS prediction models were derived using Cox regression. The ADRS-CAD had a C statistic of 0.899 (0.882-0.916) compared with 0.828 (0.803-0.852) for the Framingham Risk Score in the same sample. ADRS-stroke had a C statistic of 0.904 (0.865-0.944). The ADRS-ASCVD had a C statistic of 0.898 (0.883-0.913) compared with 0.891 (0.875-0.907) of pooled cohort equations and 0.825 (0.802-0.847) for Framingham Risk Score-cardiovascular disease. Applying our formulas to the validation cohort yielded C statistics of 0.825 (0.803-0.846), 0.799 (0.774-0.824), and 0.761 (0.71-0.813) for ASCVD, CAD, and stroke, respectively. The pooled cohort equations in this cohort had a C statistic for ASCVD of 0.824 (0.802-0.846).

conclusionsThis study demonstrates the value of tailoring risk assessments to local populations and health care contexts.

Indexed as

StrokeAdultAgedAtherosclerosisCoronary Artery DiseaseFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsUnited Arab Emiratescardiovascular risk scorecohort studycoronary artery diseaserisk prediction

Identifiers

PMID39611388
PMCPMC11681588

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.