Evidence map›Paper›PMID 40547501›Full record

ArticleFrontiers in cardiovascular medicine2025

A novel model describing blood pressure profiles.

Sabina Schlottau, Willi Cawello, Stephanie Läer

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Sabina SchlottauInstitute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Willi CawelloInstitute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Stephanie LäerInstitute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Blood pressure follows a circadian rhythm and is influenced by various factors. Blood pressure rises in the morning and decreases at night. It is known that deviations from this pattern are associated with an increased cardiovascular risk. Therefore, it is important to analyze blood pressure profiles and blood pressure variability. Methods: A blood pressure model was developed based on data from cuffless blood pressure measurements of six healthy volunteers over a 14-day period. Exponential formulas were applied for the description of blood pressure curves (systolic and diastolic), which were used for a non-linear regression model in R. Results: All six subjects showed a circadian pattern in systolic and diastolic blood pressure over a 14-day period. Both the measured values and the predicted values show that each subject's blood pressure was lower at night than during the day. Differences emerged in the level of blood pressure, the fluctuation, and the sleep times, which revealed individual characteristics in the daily blood pressure curves. Discussion: This novel blood pressure model can be used to visualize blood pressure profiles for several days and enables the assessment of the intra- and inter-individual variability of blood pressure.

Indexed as

blood pressureblood pressure profileblood pressure variabilitycircadian rhythmcuffless blood pressure measurementmodel

Identifiers

PMID40547501
PMCPMC12179137

What OpenQuestion holds

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Registered trials

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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.