Evidence map›Paper›PMID 26587453›Full record

ReviewPulse (Basel, Switzerland)2015

Chinese Hypertension Guidelines.

Ji-Guang Wang

Abstract readReview
In one paragraph

Review in Pulse (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
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  11. Comparing the measurement properties of the EQ-5D-5L and the EQ-5D-3L in hypertensive patients living in rural China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Health-related quality of life among rural men and women with hypertension: assessment by the EQ-5D-5L in Jiangsu, China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  17. Article
  18. Review
  19. Article
  20. Article
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

1 author.

Ji-Guang WangCentre for Epidemiological Studies and Clinical Trials, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the 4th National Nutrition and Health Survey in 2002, the prevalence of hypertension in China was 18.8%. Although there are no recent updated nationwide data, it is believed that the prevalence of hypertension has increased substantially in the past decade up to more than 200 million hypertensive patients in the populous country of China. To fight against the growing risk of hypertension, three Chinese hypertension guidelines were compiled in the past two decades, in 1999, 2005, and 2011. The current guidance document for the management of hypertension was named '2010 Chinese hypertension guideline', but it was actually published in 2011. In this guideline, all five classes of antihypertensive drugs were recommended as possible initial and maintenance therapy. The goal of treatment was a systolic/diastolic blood pressure below 140/90 mm Hg in general, 130/80 mm Hg in various groups of high-risk patients, and 150/90 mm Hg in the elderly (≥65 years). With the recent publication of several national and international hypertension guidelines, the Chinese guideline is now under discussion for updating.

Indexed as

Antihypertensive drugsBlood pressure controlChinese hypertension guidelineControl ratesPrevalenceTreatment

Identifiers

PMID26587453
PMCPMC4646151

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.