Evidence map›Paper›PMID 33163991›Full record

ArticleJournal of clinical cardiology and cardiovascular therapy2020

Blood Pressure and Mortality: Joint Effect of Blood Pressure Measures.

Jung Ki Kim, Eileen M Crimmins

Abstract read
In one paragraph

Article in Journal of clinical cardiology and cardiovascular therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Cardiometabolic Risk Trajectory Among Older Americans: Findings From the Health and Retirement Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  13. 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

2 authors.

Jung Ki KimDavis School of Gerontology, University of Southern California, USA.
Eileen M CrimminsDavis School of Gerontology, University of Southern California, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, HIRAM BELTRAN-SANCHEZ · 1999 to 2026
$17.9M
USC Resource Center for Minority Aging Research (US-RCMAR)P30AG043073 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EMMA AGUILA, JENNIFER A AILSHIRE · 2012 to 2026
$10.1M
Biological Underpinnings of Socioeconomic Differentials in Health and MortalityR01AG060110 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M · 2018 to 2022
$2.6M
Network on Measurement of Biological RiskR24AG037898 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M, SEEMAN, TERESA E · 2010 to 2014
$1.1M
NIA NIH HHS P30 AG017265NIA NIH HHS P30 AG043073NIA NIH HHS R01 AG060110NIA NIH HHS R24 AG037898NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

We examine how combinations of systolic and diastolic blood pressure levels and pulse pressure levels predicted mortality risk. Respondents are those aged over 50 from the Health and Retirement Study (N=10,366) who provided blood pressure measures in 2006/2008. Systolic and diastolic blood pressures were measured three times; and we averaged the three readings. Pulse pressure was calculated as systolic minus diastolic blood pressure. Seven combinations of systolic and diastolic blood pressure (low/normal/high of each) and three levels of pulse pressure (low/normal/high) were used to categorize blood pressure. Over 1 to 10 years of follow-up (average follow-up time of 7.8 years), 2,820 respondents died after blood pressure measurement in 2006/2008. Potential covariates including age, gender, education, BMI, total cholesterol, HbA1c, antihypertensive medication intake and lifetime-smoking pack years were adjusted in Cox proportional hazard models and survival curves. The blood pressure subgroup with low systolic blood pressure (<90 mmHg) and low diastolic blood pressure (< 60 mmHg) had the highest relative risk of mortality (HR=2.34, 95% CI: 1.45-3.80), followed by those with normal systolic blood pressure but low diastolic blood pressure (HR=1.45, 95% CI: 1.17-1.81) among those with cardiovascular conditions at baseline. For those without cardiovascular conditions at baseline, low blood pressure, either systolic or diastolic, was not related to mortality. Those with high levels of both systolic and diastolic blood pressure had a higher risk of mortality than those with both blood pressures normal but no other subgroups with low blood pressure differed from normal/normal in predicting mortality. Pulse pressure did not predict mortality. How high and low blood pressures are related to mortality needs to be examined by jointly looking at systolic and diastolic blood pressure.

Indexed as

diastolic blood pressureHealth and Retirement Studymortalitypulse pressureSystolic blood pressure

Identifiers

PMID33163991
PMCPMC7646937

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.