Evidence map›Paper›PMID 31418774›Full record

ArticleAmerican journal of hypertension2019

Circadian Blood Pressure Variations Computed From 1.7 Million Measurements in an Acute Hospital Setting.

Adam Mahdi, Peter Watkinson, Richard J McManus, Lionel Tarassenko

Abstract readMulticenter Study
In one paragraph

Article in American journal of hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Diagnosing hypertension in primary care: a retrospective cohort study to investigate the importance of night-time blood pressure assessment.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  4. Article
  5. Observational
  6. 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

4 authors.

Adam MahdiInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Peter WatkinsonNuffield Department of Clinical Neurosciences, Oxford University Hospitals NHS Trust, Oxford, UK.
Richard J McManusNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Lionel TarassenkoInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of the circadian blood pressure (BP) variations in the acute hospital setting is very limited.

methodsThis is a retrospective analysis of BP data for in-hospital patients stratified by age and sex. We used data collected with the help of a standardized electronic health record system between March 2014 and April 2018 on the adult general wards in 4 acute hospitals in Oxford, UK.

resultsA total of 41,455 unique patient admissions with 1.7 million sets of vital-sign measurements have been included in the study. The typical 24-hour systolic BP profile (dipping pattern during sleep followed by a gradual increase during the day) was only seen in the younger age groups (up to 40-49 for men and 30-39 for women). For older age groups, there was a late nocturnal rise in systolic BP, the amplitude of which increased with age. The late nocturnal BP rise above the age of 50 was seen whether or not the patient was treated for or previously identified with hypertension.

conclusionHospitalized patients' circadian patterns of BP largely mirror those found in the community. High-quality hospital data may allow for the identification of patients at significant cardiovascular risk through either opportunistic screening or systematic screening.

Indexed as

Blood PressureBlood Pressure DeterminationCircadian RhythmHospitals, GeneralAdultAgedAged, 80 and overAge FactorsEnglandFemaleHumansHypertensionMaleMiddle AgedPatient AdmissionPredictive Value of Testsblood pressurecircadian rhythmshospital measurementshypertension

Identifiers

PMID31418774
PMCPMC7427624

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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.