Evidence map›Paper›PMID 34901220›Full record

ArticleFrontiers in cardiovascular medicine2021

Six Months of Inspiratory Muscle Training to Lower Blood Pressure and Improve Endothelial Function in Middle-Aged and Older Adults With Above-Normal Blood Pressure and Obstructive Sleep Apnea: Protocol for the CHART Clinical Trial.

Dallin Tavoian, Lupita E Ramos-Barrera, Daniel H Craighead, Douglas R Seals, Edward J Bedrick, Joseph S Alpert, Saif Mashaqi, E Fiona Bailey

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2021. 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
1.1field-weighted citation impact, top 23% of its field
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, 9 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Promoting healthy cardiovascular aging: emerging topics.The journal of cardiovascular aging · 2022
    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 at 3 institutions in 1 country.

Dallin TavoianArizona Respiratory Neurophysiology Laboratory, Department of Physiology, University of Arizona, Tucson, AZ, United States.
Lupita E Ramos-BarreraArizona Respiratory Neurophysiology Laboratory, Department of Physiology, University of Arizona, Tucson, AZ, United States.
Daniel H CraigheadDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.
Douglas R SealsDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.
Edward J BedrickDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States.
Joseph S AlpertCollege of Medicine, University of Arizona, Tucson, AZ, United States.
Saif MashaqiCollege of Medicine, University of Arizona, Tucson, AZ, United States.
E Fiona BaileyArizona Respiratory Neurophysiology Laboratory, Department of Physiology, University of Arizona, Tucson, AZ, United States.
University of Arizona · USUniversity of Colorado Boulder · USBanner - University Medical Center Tucson · US

Funding

Time-efficient inspiratory muscle strength training for improving blood pressure and vascular function in older adults with sleep-disordered breathingR01AG065346 · NIA · UNIVERSITY OF ARIZONA · PI BAILEY, E. FIONA · 2020 to 2025
$3.4M
NIA NIH HHS R01 AG065346
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

blood pressureendothelialexercisehypertensioninspiratoryobstructive sleep apneaolder adultsvascular

Identifiers

PMID34901220
PMCPMC8652071
OpenAlexW3215474198

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.