Evidence map›Paper›PMID 19158822›Full record

ArticleJournal of human hypertension2009

Blood pressure variability and prevalence of hypertension using automated readings from multiple visits to a pharmacy-based community-wide programme.

T Karwalajtys, J Kaczorowski, B Hutchison, M G Myers, S M Sullivan, L W Chambers, L Lohfeld

Abstract read
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In one paragraph

Article in Journal of human hypertension, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 4 institutions in 1 country.

T KarwalajtysDepartment of Family Medicine, McMaster University, Ontario, Canada. karwalt@mcmaster.ca
J Kaczorowski
B Hutchison
M G Myers
S M Sullivan
L W Chambers
L Lohfeld
McMaster University · CAÉlisabeth Bruyère Hospital · CASunnybrook Health Science Centre · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood pressure (BP) measurements taken outside the routine office context may be a useful adjunct strategy to monitor BP. Community-based BP data can also provide estimates of the prevalence of elevated BP. We compared multiple readings taken on different days in pharmacies using an automated BpTRU device during a cardiovascular health programme targeting community-dwelling older adults. Mean systolic (S) and diastolic (D) BP values were compared over time using repeated measures analysis of variance for all participants with at least three separate sets of readings (n=317). BP variability was then examined among four subgroups based on report of antihypertensive medication or no treatment, and normal or elevated SBP at the initial visit (< or >or=140, or 130 if diabetes reported). Prevalence of elevated BP was compared across visits. Overall, mean SBP decreased between visits 1 and 2 (140.4 vs 137.1 mm Hg; P<0.001). Among participants with normal SBP at the initial visit, SBP did not vary significantly, whether or not antihypertensive treatment was reported. Those with initially elevated SBP experienced a significant decrease between visits 1 and 2, also regardless of treatment status. Prevalence of elevated BP decreased from visits 1 to 2 (55.8 vs 48.9%; P=0.026) and from visits 1 to 3 (55.8 vs 42.9%; P<0.001). Analyses of BP data from a community-based programme using an accurate device showed that initial readings may inflate the population estimate of elevated BP. Findings suggest that more than one set of BP readings measured on different occasions are needed, particularly if the first set is elevated.

Indexed as

Blood PressureAgedAged, 80 and overBlood Pressure DeterminationCanadaFemaleHumansHypertensionMaleMass ScreeningPrevalence

Identifiers

PMID19158822
OpenAlexW2042542340

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.