Literature DB >> 34894174

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Jiunn-Tyng Yeh1, Tzu-Jung Chiu2, Hao-Min Cheng1,2,3,4,5.   

Abstract

Entities:  

Year:  2021        PMID: 34894174      PMCID: PMC8783330          DOI: 10.1111/jch.14410

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


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We appreciate the questions raised by Dr. Giménez‐Miranda and associates. To begin with, we would like to address the inherent limitation of the observational study, which is the type of research included into our systematic review and meta‐analysis. Due to the inability of randomization and, for some, retrospective design, the conventional analysis of the observational studies (eg, calculating odds ratio or hazard ratio) can only infer correlation instead of causation. Techniques such as causal inference have been developed to determine causality from observational studies, yet in our meta‐analysis, the effect estimates we extracted and synthesized are associative in nature. For the hypothesis proposed by Dr. Giménez‐Miranda and associates that dysautonomia resulting from certain subtypes of dementia causes blood pressure variability (BPV), we agree that it is biologically and clinically plausible. , However, our results may not be interpreted based on this mechanism due to the following reasons. First, most of the studies included in our analysis measured the BPV on a visit‐to‐visit basis, which is proposed to reflect the adherence and compliance to antihypertensive agents or measurement errors and aging. BPV subtypes that are more correlated with dysautonomia, such as orthostatic hypertension or nocturnal blood pressure fall, were excluded during our evidence synthesis process. Second, an important criterion inferring causation is the temporal sequence of association. The observational studies included in our analysis measured BPV in advance, then the incidence of dementia or cognitive decline were subsequently evaluated. Certainly, there could be patients with insidious dementia and dysautonomia, which were not detected during the period of blood pressure measurements. To further prove the dysautonomia hypotheses, the temporal sequence of the study should be inversed, that is, research should estimate the change of BPV for patient diagnosed with dementia and compare with those without. As mentioned in the Discussion of our paper, interpretation to the results of our analysis should be made with caution due to the limited number of studies, high heterogeneity, and the absence of a dose‐response relationship. Hence, it is possible that when conducting subgroup analysis based on the etiologies of the dementia, the lack of statistical power can explain the insignificant results. The question on the relationship between specific subtypes of dementia and BPV requires more studies, such as observational studies conducted with a causal‐inference model, or RCTs investigating the cognitive outcome among patients with different BPV targets.

CONFLICTS OF INTEREST

The authors have no competing interests.
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1.  THE ENVIRONMENT AND DISEASE: ASSOCIATION OR CAUSATION?

Authors:  A B HILL
Journal:  Proc R Soc Med       Date:  1965-05

Review 2.  An introduction to causal inference.

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3.  Blood pressure circadian rhythm alterations in alpha-synucleinopathies.

Authors:  Fabrizio Vallelonga; Cristina Di Stefano; Aristide Merola; Alberto Romagnolo; Gabriele Sobrero; Valeria Milazzo; Alessio Burrello; Jacopo Burrello; Maurizio Zibetti; Franco Veglio; Simona Maule
Journal:  J Neurol       Date:  2019-02-19       Impact factor: 4.849

4.  Blood pressure variability: clinical relevance and application.

Authors:  Gianfranco Parati; George S Stergiou; Eamon Dolan; Grzegorz Bilo
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-07       Impact factor: 3.738

Review 5.  Autonomic Dysfunction in α-Synucleinopathies.

Authors:  José Javier Mendoza-Velásquez; Juan Francisco Flores-Vázquez; Evalinda Barrón-Velázquez; Ana Luisa Sosa-Ortiz; Ben-Min Woo Illigens; Timo Siepmann
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Review 6.  Blood pressure variability and cognitive dysfunction: A systematic review and meta-analysis of longitudinal cohort studies.

Authors:  Tzu-Jung Chiu; Jiunn-Tyng Yeh; Chi-Jung Huang; Chern-En Chiang; Shih-Hsien Sung; Chen-Huan Chen; Hao-Min Cheng
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-06-21       Impact factor: 3.738

  6 in total

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