Evidence map›Paper›PMID 38053733›Full record

ArticleDigital health

Diurnal cardio-respiratory changes in ambulatory individuals deciphered using a multi-parameter wearable device.

Dean Nachman, Arik Eisenkraft, Yotam Kolben, Erez Carmon, Esther Hazan, Nir Goldstein, Arik Ben Ishay, Mor Hershkovitz, Meir Fons, Roei Merin and 3 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

13 authors.

Dean NachmanHeart Institute, Hadassah Medical Center, The Hebrew University of Jerusalem, Jerusalem, Israel.
Arik EisenkraftInstitute for Research in Military Medicine, Faculty of Medicine, The Hebrew University of Jerusalem and the Israel Defense Force Medical Corps, Jerusalem, Israel.ORCID https://orcid.org/0000-0002-9368-3490
Yotam KolbenHeart Institute, Hadassah Medical Center, The Hebrew University of Jerusalem, Jerusalem, Israel.
Erez CarmonMeuhedet Health Services, Tel Aviv, Israel.
Esther HazanMeuhedet Health Services, Tel Aviv, Israel.
Nir GoldsteinBiobeat Technologies Ltd., Petah Tikva, Israel.
Arik Ben IshayBiobeat Technologies Ltd., Petah Tikva, Israel.
Mor HershkovitzBiobeat Technologies Ltd., Petah Tikva, Israel.
Meir FonsBiobeat Technologies Ltd., Petah Tikva, Israel.
Roei MerinBiobeat Technologies Ltd., Petah Tikva, Israel.
Offer AmirHeart Institute, Hadassah Medical Center, The Hebrew University of Jerusalem, Jerusalem, Israel.
Rabea AslehHeart Institute, Hadassah Medical Center, The Hebrew University of Jerusalem, Jerusalem, Israel.
Yftach GepnerDepartment of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine and Sylvan Adams Sports Institute, Tel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent technological developments enable big data-driven insights on diurnal changes. This study aimed to describe the trajectory of multiple and advanced parameters using a medical-grade wearable remote patient monitor. Methods: Parameters were monitored for 24 h in 256 ambulatory participants who kept living their normal life. Parameters included heart rate, blood pressure, stroke volume, cardiac index, systemic vascular resistance, blood oxygen saturation, and respiratory rate. Diurnal variations were evaluated, and analyses were stratified based on sex, age, and body mass index. Results: All parameters showed diurnal changes ( Conclusion: Wearable monitoring platforms could decipher hemodynamic changes in subgroups of individuals, and might help with efforts to provide personalized medicine, pre-symptomatic diagnosis and prevention, and drug development.

Indexed as

ambulatory blood pressure monitoringdiurnal changesnoninvasive monitoringpatient-generated health dataphotoplethysmography

Identifiers

PMID38053733
PMCPMC10695076

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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.