Evidence map›Paper›PMID 22199424›Full record

SynthesisTexas Heart Institute journal2011

Prehypertension: a meta-analysis of the epidemiology, risk factors, and predictors of progression.

Xiaofan Guo, Liling Zou, Xingang Zhang, Jue Li, Liqiang Zheng, Zhaoqing Sun, Jian Hu, Nathan D Wong, Yingxian Sun

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Texas Heart Institute journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 6 pooled it
–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

46 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  15. White blood cell and platelet distribution widths are associated with hypertension: data mining approaches.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
  16. Anthropometric indexes for predicting high blood pressure in Turkish adults.Journal of family medicine and primary care · 2023
    Article
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  19. Does the place of residence influence your risk of being hypertensive? A study-based on Nepal Demographic and Health Survey.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
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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

9 authors.

Xiaofan GuoDepartment of Cardiology, First Affiliated Hospital of China Medical University, Shenyang 110001, China.
Liling Zou
Xingang Zhang
Jue Li
Liqiang Zheng
Zhaoqing Sun
Jian Hu
Nathan D Wong
Yingxian Sun

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the prevalence and risk factors of prehypertension, as well as the predictors of progression from prehypertension to hypertension. To do this, we performed a systematic review and meta-analysis of cross-sectional and longitudinal studies, after unrestricted searches of PubMed and The Cochrane Library through September 2010. In addition, we reviewed references, major textbooks, and review articles. Pooled prevalence, standardized mean differences, and odds ratios were estimated by using a random-effects model. Twenty-six articles met our inclusion criteria; these included 20 cross-sectional and 6 longitudinal studies, with a total sample of 250,741 individuals. The overall pooled prevalence of prehypertension was 36%. The pooled prevalence among males was higher than that among females (40% vs 33%). The pooled standardized mean difference for body mass index was 1.37 (95% confidence interval [CI], 1.20-1.55); for total cholesterol, 8.08 (95% CI, 6.71-9.46); for low-density-lipoprotein cholesterol, 5.14 (95% CI, 3.09-7.18); and for fasting plasma glucose, 4.23 (95% CI, 3.28-5.18); all of which showed more significant results in females. The pooled odds ratio was 1.13 (95% CI, 0.93-1.37) for smoking and 0.98 (95% CI, 0.69-1.39) for drinking. In addition, factors such as older age at baseline, male sex, Mongolian race, and being overweight or obese were predictors of progression to hypertension, according to descriptive analysis. The prevalence of prehypertension was relatively high, especially for males. There were many modifiable risk factors associated with prehypertension, to which healthcare providers should pay more attention.

Indexed as

AdultAgedChi-Square DistributionDisease ProgressionFemaleHumansHypertensionMaleMiddle AgedOdds RatioPrehypertensionPrevalenceRisk AssessmentRisk FactorsAdultblood glucose/analysisblood pressurebody mass indexcholesterol, HDL/bloodcholesterol, LDL/bloodcross-sectional studiesdisease susceptibilityhypertension/diagnosis/epidemiology/etiology/prevention & controllongitudinal studiesmeta-analysisobesityprehypertension/epidemiology/etiology/prevention & controlprevalencerisk factorstriglycerides/bloodwaist circumference

Identifiers

PMID22199424
PMCPMC3233334

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.