Evidence map›Paper›PMID 25328598›Full record

ArticleThe Pan African medical journal2014

Prospective assessment of the risk of obstructive sleep apnea in patients attending a tertiary health facility in Sub-Saharan Africa.

Obianuju Beatrice Ozoh, Njideka Ulunma Okubadejo, Ayesha Omolara Akinkugbe, Oluwadamilola Omolara Ojo, Chinyere Nkiru Asoegwu, Casmir Amadi, Ifedayo Odeniyi, Amam Chinyere Mbakwem

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Prevalence and Predictors of Sleep Apnea Risk among Ghanaian Stroke Survivors.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2017
    Article
  6. Observational
  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

8 authors at 1 institution in 1 country.

Obianuju Beatrice OzohDepartments of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos State, Nigeria.
Njideka Ulunma OkubadejoDepartments of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos State, Nigeria.
Ayesha Omolara AkinkugbeDepartments of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos State, Nigeria.
Oluwadamilola Omolara OjoDepartments of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos State, Nigeria.
Chinyere Nkiru AsoegwuDepartments Surgery, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos State, Nigeria.
Casmir AmadiDepartments of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos State, Nigeria.
Ifedayo OdeniyiDepartments of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos State, Nigeria.
Amam Chinyere MbakwemDepartments of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos State, Nigeria.
Lagos State University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe impact of Obstructive sleep apnea (OSA) in worsening outcomes is profound, especially in the presence of comorbid conditions. This study aimed to describe the proportion of patients at a high risk of OSA in our practice setting.

methodsThe STOP BANG questionnaire and the Epworth Sleepiness scale were used to assess for OSA risk and excessive daytime sleepiness respectively. Hospitalized patients and out-patients were recruited. Intergroup differences in continuous variables were compared using the analysis of variance. The proportion of patients with high risk of OSA and excessive daytime sleepiness was presented as frequencies and group differences compared with the Pearson χ(2) test. Independent risk predictors for OSA were assessed in multivariate logistic regression analysis.

resultsA total of 1100 patients (53.4% females) participated in the study. Three hundred and ninety nine (36.3%) had a high risk of OSA, and 268 (24.4%) had excessive daytime sleepiness. Of the participants with high OSA risk, 138 (34.6%) had excessive daytime sleepiness compared to 130 (18.5%) of those with low OSA risk (p).

conclusionA significant proportion of patients attending our tertiary care center are at high risk of OSA.

Indexed as

AdultAfrica South of the SaharaCross-Sectional StudiesDisorders of Excessive SomnolenceFemaleHumansMaleMiddle AgedNigeriaPrevalenceProspective StudiesSleep Apnea, ObstructiveSurveys and QuestionnairesTertiary Care Centersexcessive day time sleepinessNigeriaObstructive sleep apneatertiary hospital

Identifiers

PMID25328598
PMCPMC4198286
OpenAlexW2042926629

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.