Evidence map›Paper›PMID 25779903›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2015

Impact of Ambulatory Blood Pressure Monitoring on Reclassification of Hypertension Prevalence and Control in Older People in Spain.

José R Banegas, Juan J de la Cruz, Auxiliadora Graciani, Esther López-García, Teresa Gijón-Conde, Luis M Ruilope, Fernando Rodriguez-Artalejo

Registry-linked trialAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02804672 (Study on Cardiovascular Health, Nutrition and Frailty in Older Adults in Spain), which is not on this map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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.

NCT02804672 completednot on this map

Study on Cardiovascular Health, Nutrition and Frailty in Older Adults in Spain

TypeobservationalSponsorUniversidad Autonoma de MadridRan2008 to 2017Enrolled1,566ConditionsPhysical Disability, Cardiovascular Risk Factors
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Atencion primaria · 2018
    Guideline
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Insights into nocturnal blood pressure.Journal of clinical hypertension (Greenwich, Conn.) · 2019
    Article
  10. Article
  11. Article
  12. Ambulatory blood pressure monitoring in the 21st century.Journal of clinical hypertension (Greenwich, Conn.) · 2018
    Review
  13. Patterns of ambulatory blood pressure: clinical relevance and application.Journal of clinical hypertension (Greenwich, Conn.) · 2018
    Article
  14. Article
  15. Article
  16. How should ambulatory blood pressure measurement be used in general practice?Journal of clinical hypertension (Greenwich, Conn.) · 2017
    Article
  17. Article
  18. Failure to Provide ABPM to All Hypertensive Patients Amounts to Medical Ineptitude.Journal of clinical hypertension (Greenwich, Conn.) · 2015
    Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

José R BanegasDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid ⁄ IdiPAZ - CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Juan J de la CruzDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid ⁄ IdiPAZ - CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Auxiliadora GracianiDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid ⁄ IdiPAZ - CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Esther López-GarcíaDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid ⁄ IdiPAZ - CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Teresa Gijón-CondeDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid ⁄ IdiPAZ - CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Luis M RuilopeDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid ⁄ IdiPAZ - CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Fernando Rodriguez-ArtalejoDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid ⁄ IdiPAZ - CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambulatory blood pressure monitoring (ABPM) accurately classifies blood pressure (BP) status but its impact on the prevalence and control of hypertension is little known. The authors conducted a cross-sectional study in 2012 among 1047 individuals 60 years and older from the follow-up of a population cohort in Spain. Three casual BP measurements and 24-hour ABPM were performed under standardized conditions. Approximately 68.8% patients were hypertensive based on casual BP (≥140/90 mm Hg or current BP medication use) and 62.1% based on 24-hour ABPM (≥130/80 mm Hg or current BP medication use) (P=.009). The proportion of patients with treatment-eligible hypertension who met BP goals increased from 37.4% based on the casual BP target to 54.1% based on the 24-hour BP target (absolute difference, 16.7%; P<.01). These results were consistent across alternative BP thresholds. Therefore, compared with casual BP, 24-hour ABPM led to a reduction in the proportion of older patients recommended for hypertension treatment and a substantial increase in the proportion of those with hypertension control.

Indexed as

AgedAntihypertensive AgentsBlood Pressure Monitoring, AmbulatoryCohort StudiesCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedPrevalenceSpainAntihypertensive Agents

Identifiers

PMID25779903
PMCPMC8031556

What OpenQuestion holds

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Registered trials

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.