Evidence map›Paper›PMID 34643701›Full record

Observational studyJournal of the American Medical Informatics Association : JAMIA2022

Gender-specific clinical risk scores incorporating blood pressure variability for predicting incident dementia.

Jiandong Zhou, Sharen Lee, Wing Tak Wong, Khalid Bin Waleed, Keith Sai Kit Leung, Teddy Tai Loy Lee, Abraham Ka Chung Wai, Tong Liu, Carlin Chang, Bernard Man Yung Cheung and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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.

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

7 citing papers in PubMed.

  1. Review
  2. Artificial Intelligence in Hypertension Management: An Ace up Your Sleeve.Journal of cardiovascular development and disease · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jiandong ZhouSchool of Data Science, City University of Hong Kong, Hong Kong, China.
Sharen LeeCardiovascular Analytics Group, Laboratory of Cardiovascular Physiology, Hong Kong, China.
Wing Tak WongSchool of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Khalid Bin WaleedDepartment of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences Shenzhen, Shenzhen, China.
Keith Sai Kit LeungEmergency Medicine Unit, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-4232-763X
Teddy Tai Loy LeeEmergency Medicine Unit, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Abraham Ka Chung WaiEmergency Medicine Unit, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tong LiuTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.
Carlin ChangDivision of Neurology, Department of Medicine, Queen Mary Hospital, Pokfulam, Hong Kong, China.
Bernard Man Yung CheungDivision of Clinical Pharmacology and Therapeutics, Department of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China.
Qingpeng ZhangSchool of Data Science, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6819-0686
Gary TseTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.ORCID 0000-0001-5510-1253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe present study examined the gender-specific prognostic value of blood pressure (BP) and its variability in the prediction of dementia risk and developed a score system for risk stratification. MATERIALS AND

methodsThis was a retrospective, observational population-based cohort study of patients admitted to government-funded family medicine clinics in Hong Kong between January 1, 2000 and March 31, 2002 with at least 3 blood pressure measurements. Gender-specific risk scores for dementia were developed and tested.

resultsThe study consisted of 74 855 patients, of whom 3550 patients (incidence rate: 4.74%) developed dementia over a median follow-up of 112 months (IQR= [59.8-168]). Nonlinear associations between diastolic/systolic BP measurements and the time to dementia presentation were identified. Gender-specific dichotomized clinical scores were developed for males (age, hypertension, diastolic and systolic BP and their measures of variability) and females (age, prior cardiovascular, respiratory, gastrointestinal diseases, diabetes mellitus, hypertension, stroke, mean corpuscular volume, monocyte, neutrophil, urea, creatinine, diastolic and systolic BP and their measures of variability). They showed high predictive strengths for both male (hazard ratio [HR]: 12.83, 95% confidence interval [CI]: 11.15-14.33, P value < .0001) and female patients (HR: 26.56, 95% CI: 14.44-32.86, P value < .0001). The constructed gender-specific scores outperformed the simplified systems without considering BP variability (C-statistic: 0.91 vs 0.82), demonstrating the importance of BP variability in dementia development.

conclusionGender-specific clinical risk scores incorporating BP variability can accurately predict incident dementia and can be applied clinically for early disease detection and optimized patient management.

Indexed as

DementiaHypertensionBlood PressureCohort StudiesFemaleHumansMaleRisk Factorsblood pressure variabilitypredictive modelrisk scorerisk stratification, dementia

Identifiers

PMID34643701
PMCPMC8757295

What OpenQuestion holds

Textmetadata
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.