Evidence map›Paper›PMID 33661907›Full record

Trial reportPLoS medicine2021

Applicability and cost-effectiveness of the Systolic Blood Pressure Intervention Trial (SPRINT) in the Chinese population: A cost-effectiveness modeling study.

Chao Li, Kangyu Chen, Victoria Cornelius, Ewan Tomeny, Yang Wang, Xiaowei Yang, Xiaodan Yuan, Rui Qin, Dahai Yu, Zhenqiang Wu and 2 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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  12. Cost-effectiveness analysis of intensive blood pressure control in Korea.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
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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

12 authors at 8 institutions in 3 countries.

Chao LiDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Kangyu ChenDepartment of Cardiology, First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.ORCID 0000-0002-7095-6767
Victoria CorneliusImperial Clinical Trials Unit, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-0080-1065
Ewan TomenyCentre for Applied Health Research & Delivery, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0003-4547-2389
Yang WangMedical Research and Biometrics Centre, Fuwai Hospital, National Centre for Cardiovascular Disease, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0002-5040-2492
Xiaowei YangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Xiaodan YuanDepartment of Health Education, Jiangsu Province Hospital of Integration of Chinese and Western Medicine, Nanjing, China.
Rui QinDepartment of Health Education, Jiangsu Province Hospital of Integration of Chinese and Western Medicine, Nanjing, China.
Dahai YuArthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, United Kingdom.ORCID 0000-0002-8449-7725
Zhenqiang WuDepartment of Geriatric Medicine, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-6712-8602
Duolao WangGlobal Health Trials Unit, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0003-2788-2464
Tao ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.ORCID 0000-0002-5489-6450
Liverpool School of Tropical Medicine · GBJiangsu Province Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNImperial College London · GBKeele University · GBUniversity of Auckland · NZUniversity of Science and Technology of China · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Systolic Blood Pressure Intervention Trial (SPRINT) showed significant reductions in death and cardiovascular disease (CVD) risk with a systolic blood pressure (SBP) goal of <120 mm Hg compared with a SBP goal of <140 mm Hg. Our study aimed to assess the applicability of SPRINT to Chinese adults. Additionally, we sought to predict the medical and economic implications of this intensive SBP treatment among those meeting SPRINT eligibility. METHODS AND

findingsWe used nationally representative baseline data from the China Health and Retirement Longitudinal Study (CHARLS) (2011-2012) to estimate the prevalence and number of Chinese adults aged 45 years and older who meet SPRINT criteria. A validated microsimulation model was employed to project costs, clinical outcomes, and quality-adjusted life-years (QALYs) among SPRINT-eligible adults, under 2 alternative treatment strategies (SBP goal of <120 mm Hg [intensive treatment] and SBP goal of <140 mm Hg [standard treatment]). Overall, 22.2% met the SPRINT criteria, representing 116.2 (95% CI 107.5 to 124.8) million people in China. Of these, 66.4%, representing 77.2 (95% CI 69.3 to 85.0) million, were not being treated for hypertension, and 22.9%, representing 26.6 (95% CI 22.4 to 30.7) million, had a SBP between 130 and 139 mm Hg, yet were not taking antihypertensive medication. We estimated that over 5 years, compared to standard treatment, intensive treatment would reduce heart failure incidence by 0.84 (95% CI 0.42 to 1.25) million cases, reduce CVD deaths by 2.03 (95% CI 1.44 to 2.63) million cases, and save 3.84 (95% CI 1.53 to 6.34) million life-years. Estimated reductions of 0.069 (95% CI -0.28, 0.42) million myocardial infarction cases and 0.36 (95% CI -0.10, 0.82) million stroke cases were not statistically significant. Furthermore, over a lifetime, moving from standard to intensive treatment increased the mean QALYs from 9.51 to 9.87 (an increment of 0.38 [95% CI 0.13 to 0.71]), at a cost of Int$10,997 per QALY gained. Of all 1-way sensitivity analyses, high antihypertensive drug cost and lower treatment efficacy for CVD death resulted in the 2 most unfavorable results (Int$25,291 and Int$18,995 per QALY were gained, respectively). Simulation results indicated that intensive treatment could be cost-effective (82.8% probability of being below the willingness-to-pay threshold of Int$16,782 [1× GDP per capita in China in 2017]), with a lower probability in people with SBP 130-139 mm Hg (72.9%) but a higher probability among females (91.2%). Main limitations include lack of specific SPRINT eligibility information in the CHARLS survey, uncertainty about the implications of different blood pressure measurement techniques, the use of several sources of data with large reliance on findings from SPPRINT, limited information about the serious adverse event rate, and lack of information and evidence for medication effectiveness on renal disease.

conclusionsAlthough adoption of the SPRINT treatment strategy would increase the number of Chinese adults requiring SBP treatment intensification, this approach has the potential to prevent CVD events, to produce gains in life-years, and to be cost-effective under common thresholds.

Indexed as

Cost-Benefit AnalysisAgedAged, 80 and overAntihypertensive AgentsBlood PressureChinaFemaleHeart FailureHumansHypertensionIncidenceMaleMiddle AgedPrevalenceAntihypertensive Agents

Identifiers

PMID33661907
PMCPMC7971845
OpenAlexW3134673039

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.