Evidence map›Paper›PMID 24465187›Full record

SynthesisPLoS medicine2014

Risk stratification by self-measured home blood pressure across categories of conventional blood pressure: a participant-level meta-analysis.

Kei Asayama, Lutgarde Thijs, Jana Brguljan-Hitij, Teemu J Niiranen, Atsushi Hozawa, José Boggia, Lucas S Aparicio, Azusa Hara, Jouni K Johansson, Takayoshi Ohkubo and 8 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in PLoS medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Left ventricular hypertrophy by electrocardiogram as a predictor of success in home blood pressure control: HOMED-BP study.Hypertension research : official journal of the Japanese Society of Hypertension · 2017
    Trial
  3. Trial
  4. Article
  5. Article
  6. Definition and classification of office and out-of-office blood pressure across recent guidelines.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. In-office and out-of-office blood pressure measurement.Journal of human hypertension · 2024
    Review
  12. How to measure blood pressure: focus on general practice.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
  13. Article
  14. What did we learn from the International Databases on Ambulatory and Home Blood Pressure in Relation to Cardiovascular Outcome?Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Kei AsayamaStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium ; Tohoku University Graduate School of Pharmaceutical Sciences, Sendai, Japan.
Lutgarde ThijsStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Jana Brguljan-HitijDivision of Hypertension, Department of Internal Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Teemu J NiiranenPopulation Studies Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Turku, Finland ; Department of Medicine, Turku University Hospital, Turku, Finland.
Atsushi HozawaDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
José BoggiaCentro de Nefrología and Departamento de Fisiopatología, Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.
Lucas S AparicioStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium ; Sección Hipertensión Arterial, Servicio de Clínica Médica, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Azusa HaraStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Jouni K JohanssonPopulation Studies Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Turku, Finland.
Takayoshi OhkuboDepartment of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan.
Christophe TzourioInserm U708, University Bordeaux Segalen, Bordeaux, France.
George S StergiouHypertension Center, Third Department of Medicine, University of Athens, Sotiria Hospital, Athens, Greece.
Edgardo SandoyaAsociación Española Primera de Socorros Mutuos, Montevideo, Uruguay.
Ichiro TsujiDepartment of Public Health, Tohoku University Graduate School of Medicine, Sendai, Japan.
Antti M JulaPopulation Studies Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Turku, Finland.
Yutaka ImaiTohoku University Graduate School of Pharmaceutical Sciences, Sendai, Japan.
Jan A StaessenStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium ; Department of Epidemiology, Maastricht University, Maastricht, The Netherlands.
International Database of Home Blood Pressure in Relation to Cardiovascular Outcome (IDHOCO) investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Burden of Diseases Study 2010 reported that hypertension is worldwide the leading risk factor for cardiovascular disease, causing 9.4 million deaths annually. We examined to what extent self-measurement of home blood pressure (HBP) refines risk stratification across increasing categories of conventional blood pressure (CBP). METHODS AND

findingsThis meta-analysis included 5,008 individuals randomly recruited from five populations (56.6% women; mean age, 57.1 y). All were not treated with antihypertensive drugs. In multivariable analyses, hazard ratios (HRs) associated with 10-mm Hg increases in systolic HBP were computed across CBP categories, using the following systolic/diastolic CBP thresholds (in mm Hg): optimal, <120/<80; normal, 120-129/80-84; high-normal, 130-139/85-89; mild hypertension, 140-159/90-99; and severe hypertension, ≥160/≥100. Over 8.3 y, 522 participants died, and 414, 225, and 194 had cardiovascular, cardiac, and cerebrovascular events, respectively. In participants with optimal or normal CBP, HRs for a composite cardiovascular end point associated with a 10-mm Hg higher systolic HBP were 1.28 (1.01-1.62) and 1.22 (1.00-1.49), respectively. At high-normal CBP and in mild hypertension, the HRs were 1.24 (1.03-1.49) and 1.20 (1.06-1.37), respectively, for all cardiovascular events and 1.33 (1.07-1.65) and 1.30 (1.09-1.56), respectively, for stroke. In severe hypertension, the HRs were not significant (p≥0.20). Among people with optimal, normal, and high-normal CBP, 67 (5.0%), 187 (18.4%), and 315 (30.3%), respectively, had masked hypertension (HBP≥130 mm Hg systolic or ≥85 mm Hg diastolic). Compared to true optimal CBP, masked hypertension was associated with a 2.3-fold (1.5-3.5) higher cardiovascular risk. A limitation was few data from low- and middle-income countries.

conclusionsHBP substantially refines risk stratification at CBP levels assumed to carry no or only mildly increased risk, in particular in the presence of masked hypertension. Randomized trials could help determine the best use of CBP vs. HBP in guiding BP management. Our study identified a novel indication for HBP, which, in view of its low cost and the increased availability of electronic communication, might be globally applicable, even in remote areas or in low-resource settings.

Indexed as

Blood PressureAdultAgedBlood Pressure Monitoring, AmbulatoryCardiovascular DiseasesEuropeFemaleHumansJapanMaleMiddle AgedMultivariate AnalysisProspective StudiesRisk AssessmentSelf ReportUruguay

Identifiers

PMID24465187
PMCPMC3897370

What Socratic 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 Socratic graph.