Evidence map›Paper›PMID 27316504›Full record

ReviewIndian heart journal

Risk assessment in the prevention of cardiovascular disease in low-resource settings.

Sandra N Ofori, Osaretin J Odia

Open access · goldAbstract readReview
In one paragraph

Review in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  14. Cardiovascular risk assessment tools in Asia.Journal of clinical hypertension (Greenwich, Conn.) · 2022
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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

2 authors at 1 institution in 1 country.

Sandra N OforiDepartment of Internal Medicine, University of Port Harcourt Teaching Hospital, Rivers State, Nigeria. Electronic address: sandytom77@yahoo.com.
Osaretin J OdiaDepartment of Internal Medicine, University of Port Harcourt Teaching Hospital, Rivers State, Nigeria.
University of Port Harcourt Teaching Hospital · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular disease (CVD) prevalence is increasing in low- and middle-income countries. Total risk assessment is key to prevention.

methodsStudies and guidelines published between 1990 and 2013 were sought using Medline database, PubMed, and World Health Organization report sheets. Search terms included 'risk assessment' and 'cardiovascular disease prevention'. Observational studies and randomized controlled trials were reviewed.

resultsThe ideal risk prediction tool is one that is derived from the population in which it is to be applied. Without national population-based cohort studies in sub-Saharan African countries like Nigeria, there is no tool that is used consistently. Regardless of which one is adopted by national guidelines, routine consistent use is advocated by various CVD prevention guidelines.

conclusionsIn low-resource settings, the consistent use of simple tools like the WHO charts is recommended, as the benefit of a standard approach to screening outweighs the risk of missing an opportunity to prevent CVD.

Indexed as

Africa South of the SaharaCardiovascular DiseasesHumansPoverty AreasPrevalenceRisk AssessmentRisk FactorsCardiovascular disease preventionCardiovascular diseasesRisk assessmentRisk markers

Identifiers

PMID27316504
PMCPMC4911434
OpenAlexW1809027692

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.