Evidence map›Paper›PMID 16826452›Full record

Trial reportEuropean journal of epidemiology2006

Difference in blood pressure readings with mercury and automated devices: Impact on hypertension prevalence estimates in Dar es Salaam, Tanzania.

Arnaud Chiolero, Jean-Pierre Gervasoni, Anne Rwebogora, Marianna Balampama, Fred Paccaud, Pascal Bovet

Abstract readClinical TrialComparative Study
PubMed Publisher
In one paragraph

Trial report in European journal of epidemiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. 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

6 authors at 2 institutions in 1 country.

Arnaud ChioleroInstitute of Social and Preventive Medicine, University of Lausanne, Lausanne, Switzerland.
Jean-Pierre Gervasoni
Anne Rwebogora
Marianna Balampama
Fred Paccaud
Pascal Bovet
Institute of Social and Preventive Medicine · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectives(1) To compare blood pressure (BP) readings with an automated arm cuff oscillometric device (AutoBP) to readings with a mercury sphygmomanometer (HgBP) and (2) to evaluate the impact on the prevalence of hypertension (HBP) in a population-based survey.

methods(1) In a convenience sample ("Comparison Study"), we measured BP with both AutoBP (Visomat OZ2) and HgBP and we modeled BP difference (DeltaBP = HgBP-AutoBP) with multiple regression analysis. (2) Using DeltaBP, we calculated HgBP in a survey previously conducted in Dar es Salaam ("Population Survey") in which BP was measured with the automatic device Visomat OZ2 and we compared the prevalence of HBP (> or =140/90 mmHg or treatment).

resultsIn the Comparison Study (404 subjects aged 25-64), systolic/diastolic BP was higher by 4.4/4.7 mmHg (SE: 0.4/0.3) with HgBP than AutoBP. The prevalence of HBP was 42% with HgBP and 36% with AutoBP (relative difference of 14%). DeltaBP was associated with age, BP and arm circumference. In the Population Survey (9.254 subjects aged 25-64), the prevalence of HBP was 17% with calculated HgBP and 14% with AutoBP (relative difference of 20%).

conclusionA small systematic bias in BP readings between two different devices had large impact on hypertension prevalence estimates. This suggests that automated devices used in epidemiological studies should be validated with particular care.

Indexed as

MercurySphygmomanometersAdultBlood PressureFemaleHumansHypertensionMaleMiddle AgedOscillometryPrevalenceTanzaniaMercury

Identifiers

PMID16826452
OpenAlexW2117030082

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.