Evidence map›Paper›PMID 35284497›Full record

SynthesisFrontiers in cardiovascular medicine2021

Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis.

Mohammed S Obsa, Getu Ataro, Nefsu Awoke, Bedru Jemal, Tamiru Tilahun, Nugusu Ayalew, Beshada Z Woldegeorgis, Gedion A Azeze, Yusuf Haji

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 5 pooled it
8.1field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 5 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Mohammed S ObsaCollege of Health Science and Medicine, Wolaita Soddo University, Wolaita Soddo, Ethiopia.
Getu AtaroCollege of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia.
Nefsu AwokeCollege of Health Science and Medicine, Wolaita Soddo University, Wolaita Soddo, Ethiopia.
Bedru JemalCollege of Medicine and Health Science, Dilla University, Dilla, Ethiopia.
Tamiru TilahunCollege of Health Science and Medicine, Wolaita Soddo University, Wolaita Soddo, Ethiopia.
Nugusu AyalewDepartment of Anesthesia, Kotebe Metropolitan University, Addis Ababa, Ethiopia.
Beshada Z WoldegeorgisCollege of Health Science and Medicine, Wolaita Soddo University, Wolaita Soddo, Ethiopia.
Gedion A AzezeCollege of Health Science and Medicine, Wolaita Soddo University, Wolaita Soddo, Ethiopia.
Yusuf HajiCollege of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia.
Wolaita Sodo University · ETHawassa University · ETDilla University · ETKotebe University of Education · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dyslipidemia is a common public health problem in Africa. It has emerged as an important cardiovascular risk factor. It has been steadily increasing due to economic growth, urbanization, and unhealthy dietary pattern. Therefore, it is essential to identify determinants of dyslipidemia to prevent the condition and reduce its long-term sequel. Methods: Combinations of search terms with Boolean operators were used to retrieve studies from PubMed, EMBASE, Cochrane Database, Cinahl, Scopus, Mednar, and Google Scholar. The methodological quality of each article was evaluated based on the 2017 Joanna Briggs Institute (JBI) Critical Appraisal checklist for prevalence studies. After evaluation of each study against these criteria, studies with a minimum score of 7 or above out of 9 JBI checklists were included. We included articles presented in the English language. The Cochrane Q test was used to assess the heterogeneity across studies. The visual assessment of publication bias was done by creating a funnel plot. The possible causes of heterogeneity were explored by subgroup analyses. Egger's weighted regression test was used to assess the presence of publication bias. Statistical analyses were done by using the STATA software version 14. Result: A total of 24 articles involving 37,902 participants from 10 African countries were included. The overall pooled prevalence of dyslipidemia was 52.8 (95% Conclusion: This study revealed that the prevalence of dyslipidemia is relatively high among study participants in African countries and the independent predictors of dyslipidemia were BMI >25.0 kg/m

Indexed as

abnormal lipid metabolismAfricadyslipidemiahypercholesterolemialipid profilemetabolic syndromenon-communicable diseaserisk factors

Identifiers

PMID35284497
PMCPMC8904727
OpenAlexW4213331408

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.