Evidence map›Paper›PMID 24287007›Full record

ArticleThe American journal of medicine2014

The systolic blood pressure difference between arms and cardiovascular disease in the Framingham Heart Study.

Ido Weinberg, Philimon Gona, Christopher J O'Donnell, Michael R Jaff, Joanne M Murabito

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 139 citations in OpenAlex.

  1. Pooled it
  2. Prevalence of systolic inter-arm differences in blood pressure for different primary care populations: systematic review and meta-analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2016
    Pooled it
  3. Inter-arm blood pressure difference and mortality: a cohort study in an asymptomatic primary care population at elevated cardiovascular risk.The British journal of general practice : the journal of the Royal College of General Practitioners · 2016
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

5 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 1 country.

Ido WeinbergInstitute for Heart Vascular and Stroke Care, Massachusetts General Hospital, Boston, Mass.
Philimon GonaNational Heart, Lung and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Mass; Division of Biostatistics and Health Services Research, Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Mass.
Christopher J O'DonnellInstitute for Heart Vascular and Stroke Care, Massachusetts General Hospital, Boston, Mass; National Heart, Lung and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Mass; NHLBI Division of Intramural Research, Bethesda, Md.
Michael R JaffInstitute for Heart Vascular and Stroke Care, Massachusetts General Hospital, Boston, Mass. Electronic address: mjaff@partners.org.
Joanne M MurabitoNational Heart, Lung and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Mass; Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, Mass.
Massachusetts General Hospital · USFramingham Heart Study · USOffice of Extramural Research · USUniversity of Massachusetts Chan Medical School · US

Funding

Genomic Epidemiology of Cardiovascular DiseaseZIAHL006002 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2009 to 2015
$8.0M
Gene Expression for Functional Genomics in Human PopulationsZIAHL006175 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.2M
Functional Genetic Variation Underlying Cardiovascular Genomic EpidemiologyZIAHL006173 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.0M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
Intramural NIH HHSNHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195
6 · The paper itself

Abstract

backgroundAn increased interarm systolic blood pressure difference is an easily determined physical examination finding. The relationship between interarm systolic blood pressure difference and risk of future cardiovascular disease is uncertain. We described the prevalence and risk factor correlates of interarm systolic blood pressure difference in the Framingham Heart Study (FHS) original and offspring cohorts and examined the association between interarm systolic blood pressure difference and incident cardiovascular disease and all-cause mortality.

methodsAn increased interarm systolic blood pressure difference was defined as ≥ 10 mm Hg using the average of initial and repeat blood pressure measurements obtained in both arms. Participants were followed through 2010 for incident cardiovascular disease events. Multivariable Cox proportional hazards regression analyses were performed to investigate the effect of interarm systolic blood pressure difference on incident cardiovascular disease.

resultsWe examined 3390 (56.3% female) participants aged 40 years and older, free of cardiovascular disease at baseline, mean age of 61.1 years, who attended a FHS examination between 1991 and 1994 (original cohort) and from 1995 to 1998 (offspring cohort). The mean absolute interarm systolic blood pressure difference was 4.6 mm Hg (range 0-78). Increased interarm systolic blood pressure difference was present in 317 (9.4%) participants. The median follow-up time was 13.3 years, during which time 598 participants (17.6%) experienced a first cardiovascular event, including 83 (26.2%) participants with interarm systolic blood pressure difference ≥ 10 mm Hg. Compared with those with normal interarm systolic blood pressure difference, participants with an elevated interarm systolic blood pressure difference were older (63.0 years vs 60.9 years), had a greater prevalence of diabetes mellitus (13.3% vs 7.5%,), higher systolic blood pressure (136.3 mm Hg vs 129.3 mm Hg), and a higher total cholesterol level (212.1 mg/dL vs 206.5 mg/dL). Interarm systolic blood pressure difference was associated with a significantly increased hazard of incident cardiovascular events in the multivariable adjusted model (hazard ratio 1.38; 95% CI, 1.09-1.75). For each 1-SD-unit increase in absolute interarm systolic blood pressure difference, the hazard ratio for incident cardiovascular events was 1.07 (95% CI, 1.00-1.14) in the fully adjusted model. There was no such association with mortality (hazard ratio 1.02; 95% CI 0.76-1.38).

conclusionsIn this community-based cohort, an interarm systolic blood pressure difference is common and associated with a significant increased risk for future cardiovascular events, even when the absolute difference in arm systolic blood pressure is modest. These findings support research to expand clinical use of this simple measurement.

Indexed as

Blood PressureAdultAgedAge FactorsArmCardiovascular DiseasesDiabetes MellitusFemaleFollow-Up StudiesHumansHyperlipidemiasHypertensionIncidenceMaleMassachusettsMiddle AgedCardiovascular diseaseCardiovascular riskInterarm blood pressure difference

Identifiers

PMID24287007
PMCPMC4066378
OpenAlexW2056601329

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.