Evidence map›Paper›PMID 31587589›Full record

ArticleHypertension (Dallas, Tex. : 1979)2019

Diagnostic Accuracy of Unattended Automated Office Blood Pressure Measurement in Screening for Hypertension in Kenya.

Anthony O Etyang, Antipa Sigilai, Emily Odipo, Robinson Oyando, Gerald Ong'ayo, Lawrence Muthami, Kenneth Munge, Fredrick Kirui, Jane Mbui, Zipporah Bukania and 3 more

Erratum issuedOpen access · hybridAbstract readMulticenter Study
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. In-office and out-of-office blood pressure measurement.Journal of human hypertension · 2024
    Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Anthony O EtyangFrom the Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme (A.O.E., A.S., E.O., G.O.).
Antipa SigilaiFrom the Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme (A.O.E., A.S., E.O., G.O.).
Emily OdipoFrom the Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme (A.O.E., A.S., E.O., G.O.).
Robinson OyandoHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya (R.O., K.M., E.B.).
Gerald Ong'ayoFrom the Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme (A.O.E., A.S., E.O., G.O.).
Lawrence MuthamiCentre for Public Health Research (L.M., Z.B., J.M.), Kenya Medical Research Institute, Nairobi.
Kenneth MungeHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya (R.O., K.M., E.B.).
Fredrick KiruiCentre for Clinical Research (F.K., J.M.), Kenya Medical Research Institute, Nairobi.
Jane MbuiCentre for Clinical Research (F.K., J.M.), Kenya Medical Research Institute, Nairobi.
Zipporah BukaniaCentre for Public Health Research (L.M., Z.B., J.M.), Kenya Medical Research Institute, Nairobi.
Judy MwaiCentre for Public Health Research (L.M., Z.B., J.M.), Kenya Medical Research Institute, Nairobi.
Andrew ObalaMoi University, Eldoret, Kenya (A.O.).
Edwine BarasaHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya (R.O., K.M., E.B.).
Kenya Medical Research Institute · KEWellcome Trust · GB

Funding

Wellcome Trust 103951/Z/14/Z
6 · The paper itself

Abstract

Despite increasing adoption of unattended automated office blood pressure (uAOBP) measurement for determining clinic blood pressure (BP), its diagnostic performance in screening for hypertension in low-income settings has not been determined. We determined the validity of uAOBP in screening for hypertension, using 24-hour ambulatory BP monitoring as the reference standard. We studied a random population sample of 982 Kenyan adults; mean age, 42 years; 60% women; 2% with diabetes mellitus; none taking antihypertensive medications. We calculated sensitivity using 3 different screen positivity cutoffs (≥130/80, ≥135/85, and ≥140/90 mm Hg) and other measures of validity/agreement. Mean 24-hour ambulatory BP monitoring systolic BP was similar to mean uAOBP systolic BP (mean difference, 0.6 mm Hg; 95% CI, -0.6 to 1.9), but the 95% limits of agreement were wide (-39 to 40 mm Hg). Overall discriminatory accuracy of uAOBP was the same (area under receiver operating characteristic curves, 0.66-0.68; 95% CI range, 0.64-0.71) irrespective of uAOBP cutoffs used. Sensitivity of uAOBP displayed an inverse association (

Indexed as

Mass ScreeningAdultAntihypertensive AgentsAutomationBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryCohort StudiesDeveloping CountriesFemaleHumansHypertensionKenyaMaleMiddle AgedOffice VisitsReference StandardsAntihypertensive Agentsadultblood pressurehumanshypertensionKenya

Identifiers

PMID31587589
PMCPMC7069390
OpenAlexW2977508011

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.