Evidence map›Paper›PMID 35851877›Full record

ArticleNature medicine2022

Modeling global 80-80-80 blood pressure targets and cardiovascular outcomes.

Sarah J Pickersgill, William T Msemburi, Laura Cobb, Nicole Ide, Andrew E Moran, Yanfang Su, Xinpeng Xu, David A Watkins

Open access · hybridAbstract read
In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
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  5. Observational
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  7. Review
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  15. Hypertension research 2024 update and perspectives: blood pressure management.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Review
  16. Review
  17. Article
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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

8 authors at 4 institutions in 3 countries.

Sarah J PickersgillDepartment of Global Health, University of Washington, Seattle, WA, USA.
William T MsemburiDivision of Data, Analytics, and Delivery for Impact, World Health Organization, Geneva, Switzerland.
Laura CobbResolve to Save Lives, New York, NY, USA.
Nicole IdeResolve to Save Lives, New York, NY, USA.
Andrew E MoranResolve to Save Lives, New York, NY, USA.
Yanfang SuDepartment of Global Health, University of Washington, Seattle, WA, USA.
Xinpeng XuSchool of Public Health, Nanjing Medical University, Nanjing, China.
David A WatkinsDepartment of Global Health, University of Washington, Seattle, WA, USA. davidaw@uw.edu.ORCID http://orcid.org/0000-0001-6341-9595
University of Washington · USColumbia University Irving Medical Center · USNanjing Medical University · CNWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

As the leading cause of death worldwide, cardiovascular diseases (CVDs) present major challenges for health systems. In this study, we analyzed the effects of better population blood pressure control in the context of a proposed 80-80-80 target: 80% of individuals with hypertension are screened and aware of their diagnosis; 80% of those who are aware are prescribed treatment; and 80% of those on treatment have achieved guideline-specified blood pressure targets. We developed a population CVD model using country-level evidence on CVD rates, blood pressure levels and hypertension intervention coverage. Under realistic implementation conditions, most countries could achieve 80-80-80 targets by 2040, reducing all-cause mortality by 4-7% (76-130 million deaths averted over 2022-2050) and slowing the rise in CVD expected from population growth and aging (110-200 million cases averted). Although populous middle-income countries would account for most of the reduced CVD cases and deaths, low-income countries would experience the largest reductions in disease rates.

Indexed as

Cardiovascular DiseasesHypertensionBlood PressureGlobal HealthHumansRisk Factors

Identifiers

PMID35851877
PMCPMC9388375
OpenAlexW4285727427

What OpenQuestion 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 OpenQuestion graph.