Evidence map›Paper›PMID 38874614›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2024

Identifying an acceptable number of ambulatory blood pressure measurements for accuracy of average blood pressure and nocturnal dipping status.

Leandro C Brito, Sean P M Rice, Nicole P Bowles, Matthew P Butler, Andrew W McHill, Jonathan S Emens, Steven A Shea, Saurabh S Thosar

Abstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Leandro C BritoOregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, United States.ORCID 0000-0001-9902-7390
Sean P M RiceOregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, United States.ORCID 0000-0001-7712-4667
Nicole P BowlesOregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, United States.ORCID 0000-0003-3729-7082
Matthew P ButlerOregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, United States.ORCID 0000-0002-0229-3199
Andrew W McHillOregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, United States.ORCID 0000-0002-9428-6884
Jonathan S EmensOregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, United States.ORCID 0000-0002-2156-6340
Steven A SheaOregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, United States.ORCID 0000-0003-1949-0954
Saurabh S ThosarOregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, United States.ORCID 0000-0002-5075-4340

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Oregon Healthy WorkLife CenterU19OH010154 · OH · OREGON HEALTH & SCIENCE UNIVERSITY · PI HAMMER, LESLIE, OLSON, RYAN · 2011 to 2025
$17.2M
Endogenous circadian mechanisms underlying cardiovascular riskR35HL155681 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI STEVEN A SHEA · 2021 to 2026
$5.5M
Sleep and circadian mechanisms in hypertensionR01HL163232 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Saurabh Suhas Thosar · 2022 to 2026
$2.9M
Circadian rhythms and cardiovascular riskR01HL125893 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI SHEA, STEVEN A · 2015 to 2018
$2.7M
Uncovering the Impact of Diet on the Human Circadian Timing SystemR01HL156948 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI MCHILL, ANDREW WILLIAM · 2022 to 2025
$2.5M
Uncovering sleep and circadian mechanisms contributing to adverse metabolic healthR01HL169317 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Andrew William McHill · 2023 to 2026
$2.3M
Role of the circadian rhythm on endocannabinoid response to an acute stressK01HL151745 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BOWLES, NICOLE P · 2021 to 2025
$957k
Uncovering Circadian Mechanisms of Poor Cardiometabolic HealthK01HL146992 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI MCHILL, ANDREW WILLIAM · 2019 to 2022
$669k
Apnea patterns predict heart disease and mortalityR21HL140377 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BUTLER, MATTHEW P · 2017 to 2018
$252k
Circadian disruption, physical inactivity and cardiovascular riskF32HL131308 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI THOSAR, SAURABH SUHAS · 2016 to 2017
$115k
HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01-HL125893HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01 HL 163232NCATS NIH HHS UL1 TR002369NHLBI NIH HHS F32 HL131308NHLBI NIH HHS K01 HL146992NHLBI NIH HHS K01 HL151745NHLBI NIH HHS R01 HL125893NHLBI NIH HHS R01 HL156948NHLBI NIH HHS R01 HL163232NHLBI NIH HHS R01 HL169317NHLBI NIH HHS R21 HL140377NHLBI NIH HHS R35 HL155681NIOSH CDC HHS U19 OH010154
6 · The paper itself

Abstract

We aimed to identify the minimum number of ambulatory blood pressure (ABP) measures to accurately determine daytime and nighttime systolic blood pressure (BP) averages and nocturnal dipping status (i.e., relative daytime:nighttime change). A total of 43 midlife participants wore an ABP monitor for 24 h with measurements every 20/30 min during the daytime/nighttime, as identified by a sleep diary. We calculated daytime/nighttime systolic BP average and dipping status from all available measurements per participant (i.e., normative data). We then calculated daytime and nighttime BP per participant based on a random selection of 8-20 and 4-10 measurements and replicated random selections 1,000 times. We calculated accuracy by checking the proportion from 1,000 different randomly selected samples for a particular number of measurements that systolic BP was ±5 mmHg of normative data, and dipping status remained unchanged for each participant compared with the normative value. The best fit for the regression model estimated the minimal number of measurements for an accuracy of 95% in BP averages. For a 95% accuracy in estimating daytime and nighttime systolic BP, 11 daytime and 8 nighttime measurements were required. The highest accuracy for dipping status was 91.6 ± 13.4% using 20 daytime and 10 nighttime measures, while the lowest was (83.4 ± 15.1%) using 8 daytime and 4 nighttime measures. In midlife adults, 11 daytime and 8 nighttime measurements are likely enough to calculate average systolic BPs accurately. However, no minimum number is suggested to accurately calculate dipping status.

Indexed as

Blood PressureBlood Pressure Monitoring, AmbulatoryCircadian RhythmAdultAgedFemaleHumansHypertensionMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsSleepTime Factorsambulatory blood pressureawake blood pressurecardiovascular riskdipping and nondipping blood pressurehypertension

Identifiers

PMID38874614
PMCPMC11442022

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.