Evidence map›Paper›PMID 37968004›Full record

ArticleBMJ open2023

External validation of a cardiovascular risk model for Omani patients with type 2 diabetes mellitus: a retrospective cohort study.

Fatema Al Oraimi, Amani Al Rawahi, Amira Al Harrasi, Sarah Albusafi, Laila Mohammed Al-Manji, Abdul Hakeem Alrawahi, Asma Ali Al Salmani

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 69% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 3 institutions in 1 country.

Fatema Al OraimiOman Medical Speciality Board, Al-Athaiba, Oman.
Amani Al RawahiOman Medical Speciality Board, Al-Athaiba, Oman.
Amira Al HarrasiOman Medical Speciality Board, Al-Athaiba, Oman.
Sarah AlbusafiGovernment of Oman Ministry of Health, Muscat, Oman.
Laila Mohammed Al-ManjiGovernment of Oman Ministry of Health, Muscat, Oman.
Abdul Hakeem AlrawahiDepartment of Planning and Studies, Research Section, Oman Medical Specialty Board, Muscat, Oman.
Asma Ali Al SalmaniSultan Qaboos University Hospital, Seeb, Oman draaa@squ.edu.om.ORCID 0000-0003-3102-0955
Oman Medical College · OMMinistry of Health · OMSultan Qaboos University Hospital · OM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo externally validate a recently developed cardiovascular disease (CVD) risk model for Omanis with type 2 diabetes mellitus (T2DM).

designRetrospective cohort study.

settingNine primary care centres in Muscat Governorate, Oman.

participantsA total of 809 male and female adult Omani patients with T2DM free of CVD at baseline were selected using a systematic random sampling strategy. OUTCOME MEASURES: Data regarding CVD risk factors and outcomes were collected from the patients' electronic medical records between 29 August 2020 and 2 May 2021. The ability of the model to discriminate CVD risk was assessed by calculating the area under the curve (AUC) of the receiver-operating characteristic curve. Calibration of the model was evaluated using a Hosmer-Lemeshow χ

resultsThe incidence of CVD events over the 5-year follow-up period was 4.6%, with myocardial infarction being most frequent (48.6%), followed by peripheral arterial disease (27%) and non-fatal stroke (21.6%). A cut-off risk value of 11.8% demonstrated good sensitivity (67.6%) and specificity (66.5%). The area under the curve (AUC) was 0.7 (95% CI 0.60 to 0.78) and the Brier score was 0.01. However, the overall mean predicted risk was greater than the overall observed risk (11.8% vs 4.6%) and the calibration graph showed a relatively significant difference between predicted and observed risk levels in different subgroups.

conclusionsAlthough the model slightly overestimated the CVD risk, it demonstrated good discrimination. Recalibration of the model is required, after which it has the potential to be applied to patients presenting to diabetic care centres elsewhere in Oman.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2AdultFemaleHeart Disease Risk FactorsHumansMaleRetrospective StudiesRisk AssessmentRisk Factorsadult cardiologygeneral diabeteshypertensionmyocardial infarctionrisk factorsstroke

Identifiers

PMID37968004
PMCPMC10660833
OpenAlexW4388693459

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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.