Evidence map›Paper›PMID 38870163›Full record

SynthesisPloS one2024

Uncontrolled hypertension among hypertensive patients in Sub-Saharan Africa: A systematic review and meta-analysis.

Tigabu Munye Aytenew, Amare Kassaw, Amare Simegn, Gedefaye Nibret Mihretie, Sintayehu Asnakew, Yohannes Tesfahun Kassie, Solomon Demis, Demewoz Kefale, Shegaw Zeleke, Worku Necho Asferie

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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.

Tigabu Munye AytenewDepartment of Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.ORCID 0000-0002-3933-5540
Amare KassawDepartment of Pediatrics and Child Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Amare SimegnDepartment of Reproductive Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Gedefaye Nibret MihretieDepartment of Reproductive Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Sintayehu AsnakewDepartment of Psychiatry, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Yohannes Tesfahun KassieDepartment of Emergency Medicine and Critical Care Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Solomon DemisDepartment of Maternity and Neonatal Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Demewoz KefaleDepartment of Pediatrics and Child Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Shegaw ZelekeDepartment of Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Worku Necho AsferieDepartment of Maternity and Neonatal Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypertension is a major global public health problem. It currently affects more than 1.4 billion people worldwide, projected to increase to 1.6 billion by 2025. Despite numerous primary studies have been conducted to determine the prevalence of uncontrolled hypertension and identify its associated factors among hypertensive patients in Sub-Saharan Africa, these studies presented inconsistent findings. Therefore, this review aimed to determine the pooled prevalence of uncontrolled hypertension and identify its associated factors.

methodsWe have searched PubMed, Google Scholar, and Web of Science databases extensively for all relevant studies. A manual search of the reference lists of included studies was performed. A weighted inverse-variance random-effects model was used to compute the overall pooled prevalence of uncontrolled hypertension and the effect size of its associated factors. Variations across the included studies were checked using forest plot, funnel plot, I2 statistics, and Egger's test.

resultsA total of twenty-six primary studies with a sample size of 11,600 participants were included in the final meta-analysis. The pooled prevalence of uncontrolled hypertension was 50.29% (95% CI: 41.88, 58.69; I2 = 98.98%; P<0.001). Age of the patient [AOR = 1.57: 95% CI: 1.004, 2.44], duration of diagnosis [AOR = 2.57: 95% CI: 1.18, 5.57], non-adherence to physical activity [AOR = 2.13: 95% CI: 1.15, 3.95], khat chewing [AOR = 3.83: 95% CI: 1.59, 9.24] and habitual coffee consumption [AOR = 10.79: 95% CI: 1.84, 63.24] were significantly associated with uncontrolled hypertension among hypertensive patients.

conclusionsThe pooled prevalence of uncontrolled hypertension was considerably high. Older age, duration of diagnosis, non-adherence to physical activity, khat chewing and habitual coffee consumption were independent predictors of uncontrolled hypertension. Therefore, health professionals and other responsible stakeholders should encourage hypertensive patients to adhere to regular physical activity, and abstain from khat chewing and habitual coffee consumption. Early identification of hypertension and management of comorbidities is crucial, and it should be emphasized to control hypertension easily.

Indexed as

HypertensionAfrica South of the SaharaHumansPrevalenceRisk Factors

Identifiers

PMID38870163
PMCPMC11175416

What Socratic 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 Socratic graph.