Evidence map›Paper›PMID 32576368›Full record

ArticleThe American journal of cardiology2020

Heart Rate, Brain Imaging Biomarkers and Cognitive Impairment in Older (≥63 years) Women.

Bernhard Haring, Jingmin Liu, Stephen R Rapp, Daichi Shimbo, Claudia B Padula, Khyobeni Mozhui, Wenjun Li, Mark Espeland, Sylvia Wassertheil-Smoller

Open access · greenAbstract read
In one paragraph

Article in The American journal of cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 8 institutions in 2 countries.

Bernhard HaringDepartment of Internal Medicine I, University of Würzburg, Würzburg, Bavaria, Germany. Electronic address: Haring_B@ukw.de.
Jingmin LiuWomen's Health Initiative Coordinating Center, Seattle, Washington.
Stephen R RappDepartment of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Daichi ShimboDepartment of Medicine, Columbia University Medical Center, New York, New York.
Claudia B PadulaMIRECC, VA Palo Alto Health Care System and Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California.
Khyobeni MozhuiDepartment of Preventive Medicine, The University of Tennessee, Memphis, Tennessee.
Wenjun LiDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Mark EspelandDepartment of Biostatistical Science, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Sylvia Wassertheil-SmollerDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York.
Wake Forest University · USAlbert Einstein College of Medicine · USColumbia University Irving Medical Center · USUniversity of Massachusetts Chan Medical School · USUniversity of Tennessee Health Science Center · USUniversity of Würzburg · DEVA Palo Alto Health Care System · USWomen's Health Initiative · US

Funding

Wake Forest Alzheimer's Disease Core CenterP30AG049638 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WILLIAMSON, JEFF DOUGLAS · 2016 to 2020
$12.2M
NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNIA NIH HHS P30 AG049638
6 · The paper itself

Abstract

Evidence on the relations between heart rate, brain morphology, and cognition is limited. We examined the associations of resting heart rate (RHR), visit-to-visit heart rate variation (VVHRV), brain volumes and cognitive impairment. The study sample consisted of postmenopausal women enrolled in the Women's Health Initiative Memory Study and its ancillary MRI sub-studies (WHIMS-MRI 1 and WHIMS-MRI 2) without a history of cardiovascular disease, including 493 with one and 299 women with 2 brain magnetic resonance imaging (MRI) scans. HR readings were acquired annually starting from baseline visit (1996-1998). RHR was calculated as the mean and VVHRV as standard deviation of all available HR readings. Brain MRI scans were performed between 2005 and 2006 (WHIMS-MRI 1), and approximately 5 years later (WHIMS-MRI 2). Cognitive impairment was defined as incident mild cognitive impairment or probable dementia until December 30, 2017. An elevated RHR was associated with greater brain lesion volumes at the first MRI exam (7.86 cm3 [6.48, 9.24] vs 4.78 cm3 [3.39, 6.17], p-value <0.0001) and with significant increases in lesion volumes between brain MRI exams (6.20 cm3 [4.81, 7.59] vs 4.28 cm3 [2.84, 5.73], p-value = 0.0168). Larger ischemic lesion volumes were associated with a higher risk for cognitive impairment (Hazard Ratio [95% confidence interval], 2.02 [1.18, 3.47], p-value = 0.0109). Neither RHR nor VVHRV were related to cognitive impairment. In sensitivity analyses, we additionally included women with a history of cardiovascular disease to the study sample. The main results were consistent to those without a history of cardiovascular disease. In conclusion, these findings show an association between elevated RHR and ischemic brain lesions, probably due to underlying subclinical disease processes.

Indexed as

AgedBrainBrain IschemiaCognitive DysfunctionDementiaEstrogen Replacement TherapyFemaleGray MatterHeart RateHippocampusHumansMagnetic Resonance ImagingMiddle AgedOrgan SizePostmenopauseProportional Hazards Models

Identifiers

PMID32576368
PMCPMC9879294
OpenAlexW3032573655

What OpenQuestion holds

Textmetadata
LicenceTDM
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.