ArticleFrontiers in medicine2022
Hypertension Subtypes, Mortality Risk, and Differential Effects Between Two Hypertension Guidelines.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Acute effect of isometric wall squat on hemodynamic and autonomic status according to hypertensive subtypes in adults.European journal of applied physiology · 2026Article
- Risk analysis of blood pressure changes on cardiovascular disease in Chinese population.Journal of clinical hypertension (Greenwich, Conn.) · 2024Article
- Correlation between weight-adjusted-waist index and hypertension in the US population: based on data from NHANES 2005-2018.Frontiers in cardiovascular medicine · 2024Article
- Hypertension subtypes at high altitude in Peru: Analysis of the Demographic and Family Health Survey 2016-2019.PloS one · 2024Article
- Association between lean body mass and hypertension: A cross-sectional study of 50 159 NHANES participants.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To examine which hypertension subtypes are primarily responsible for the difference in the hypertension prevalence and treatment recommendations, and to assess their mortality risk if 2017 American College of Cardiology (ACC)/American Heart Association (AHA) hypertension guideline were adopted among Chinese adults. Methods: We used the nationally representative data of China Health and Retirement Longitudinal Study (CHARLS) to estimate the differences in the prevalence of isolated systolic hypertension (ISH), systolic diastolic hypertension (SDH) and isolated diastolic hypertension (IDH) between the 2017 ACC/AHA and the 2018 China Hypertension League (CHL) guidelines. We further assessed their mortality risk using follow-up data from the China Health and Nutrition Survey (CHNS) by the Cox model. Results: The increase from the 2017 ACC/AHA guideline on hypertension prevalence was mostly from SDH (8.64% by CHL to 25.59% by ACC/AHA), followed by IDH (2.42 to 6.93%). However, the difference was minuscule in the proportion of people recommended for antihypertensive treatment among people with IDH (2.42 to 3.34%) or ISH (12.00 to 12.73%). Among 22,184 participants with a median follow-up of 6.14 years from CHNS, attenuated but significant associations were observed between all-cause mortality and SDH (hazard ratio 1.56; 95% CI: 1.36,1.79) and ISH (1.29; 1.03,1.61) by ACC/AHA but null association for IDH (1.15; 0.98,1.35). Conclusion: Adoption of the 2017 ACC/AHA may be applicable to improve the unacceptable hypertension control rate among Chinese adults but with cautions for the drug therapy among millions of subjects with IDH.
Indexed as
Identifiers
What OpenQuestion holds
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.