Evidence map›Paper›PMID 23535987›Full record

Trial reportJournal of human hypertension2013

Relationships between metrics of visit-to-visit variability of blood pressure.

E B Levitan, N Kaciroti, S Oparil, S Julius, P Muntner

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of human hypertension, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019).Hypertension research : official journal of the Japanese Society of Hypertension · 2019
    Guideline
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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

5 authors.

E B LevitanDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
N Kaciroti
S Oparil
S Julius
P Muntner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper examines relationships between metrics of visit-to-visit variability (VVV) of blood pressure (BP) to determine which metrics should be calculated in studies of the association of VVV with health outcomes. We examined correlation and agreement between quintiles for standard deviation (s.d.), standard deviation independent of the mean (SDIM), coefficient of variation (CV), successive variation (SV), average real variability (ARV), range, maximum, peak size and trough size of systolic BP in the Trial of Preventing Hypertension placebo arm (n=288). The average age of participants was 48 years. Mean systolic BP was 133.5 mm Hg. VVV metrics were all significantly correlated (P<0.001). Correlations between s.d., SDIM, CV and range and between ARV and SV were ≥0.90. Kappa statistics between quintiles of SD, SDIM, CV and range and between ARV and SV were ≥0.80. In studies of the relationship of VVV with health outcomes, we recommend reporting results for one of the metrics of overall variability (s.d., SDIM, CV), one of the metrics of variability between consecutive visits (SV, ARV), and one or more of the metrics of extreme values at a single visit (maximum, peak size, trough size).

Indexed as

Blood PressureBlood Pressure DeterminationOffice VisitsAdultAgedAngiotensin II Type 1 Receptor BlockersAntihypertensive AgentsBenzimidazolesBiphenyl CompoundsHumansHypertensionMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsTetrazolesAngiotensin II Type 1 Receptor BlockersAntihypertensive AgentsBenzimidazolesBiphenyl CompoundscandesartanTetrazoles

Identifiers

PMID23535987

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.