Evidence map›Paper›PMID 37878534›Full record

ReviewJournal of clinical hypertension (Greenwich, Conn.)2024

The HOPE Asia Network consensus on blood pressure measurements corresponding to office measurements: Automated office, home, and ambulatory blood pressures.

Jinho Shin, Ji-Guang Wang, Yook-Chin Chia, Kazuomi Kario, Chen-Huan Chen, Hao-Min Cheng, Takeshi Fujiwara, Satoshi Hoshide, Minh Van Huynh, Yan Li and 15 more

Open access · diamondAbstract readReviewConsensus Statement
In one paragraph

Review in Journal of clinical hypertension (Greenwich, Conn.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Review
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

25 authors at 20 institutions in 13 countries.

Jinho ShinDivision of Cardiology, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, South Korea.ORCID 0000-0001-6706-6504
Ji-Guang WangDepartment of Cardiovascular Medicine, The Shanghai Institute of Hypertension, Shanghai Key Laboratory of Hypertension, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0001-8511-1524
Yook-Chin ChiaDepartment of Medical Sciences, School of Healthcare and Medical Sciences, Sunway University, Bandar Sunway, Selangor Darul Ehsan, Malaysia.
Kazuomi KarioDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan.ORCID 0000-0002-8251-4480
Chen-Huan ChenDepartment of Medicine, National Yang-Ming Chiao Tung University College of Medicine, Taipei, Taiwan.ORCID 0000-0002-9262-0287
Hao-Min ChengDepartment of Medicine, National Yang-Ming Chiao Tung University College of Medicine, Taipei, Taiwan.
Takeshi FujiwaraDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan.ORCID 0000-0003-4151-2806
Satoshi HoshideDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan.ORCID 0000-0001-7541-5751
Minh Van HuynhDepartment of Internal Medicine, University of Medicine and Pharmacy, Hue University, ., Vietnam.ORCID 0000-0003-4273-4187
Yan LiDepartment of Cardiovascular Medicine, The Shanghai Institute of Hypertension, Shanghai Key Laboratory of Hypertension, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-5825-5968
Michiaki NagaiDepartment of Internal Medicine, General Medicine and Cardiology, Hiroshima City Asa Hospital, Hiroshima, Japan.ORCID 0000-0002-3838-1369
Jennifer NailesUniversity of the East Ramon Magsaysay Memorial Medical Center Inc., Quezon City, Philippines.ORCID 0000-0001-6334-0510
Sungha ParkDivision of Cardiology, Cardiovascular Hospital, Yonsei Health System, Seoul, South Korea.ORCID 0000-0002-7798-658X
Saulat SiddiquePunjab Medical Center, Lahore, Pakistan.ORCID 0000-0003-1294-0430
Jorge SisonSection of Cardiology, Department of Medicine, Medical Center Manila, Manila, Philippines.
Arieska Ann SoenartaDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, University of Indonesia-National Cardiovascular Center, Harapan Kita, Jakarta, Indonesia.
Guru Prasad SogunuruFortis Hospitals, Chennai, Tamil Nadu, India.ORCID 0000-0002-1410-9328
Jam Chin TayDepartment of General Medicine, Tan Tock Seng Hospital, Singapore, Singapore.ORCID 0000-0001-7657-4383
Boon Wee TeoDivision of Nephrology Department of Medicine, Yong Loo Lin School of Medicine, Singapore, Singapore.ORCID 0000-0002-4911-8507
Naoko TomitaniDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan.ORCID 0000-0002-1443-7073
Kelvin TsoiJC School of Public Health and Primary Care, JC Institute of Ageing, SH Big Data Decision Analytics Research Centre, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong.ORCID 0000-0001-5580-7686
Yuda TuranaFaculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.ORCID 0000-0003-4527-0285
Narsingh VermaIndian Society of Hypertension, King George's Medical University, Lucknow, Uttar Pradesh, India.ORCID 0000-0003-0348-7419
Tzung-Dau WangDepartment of Internal Medicine, National Taiwan University College of Medicine, Taipei City, Taiwan.ORCID 0000-0002-7180-3607
Yuqing ZhangDivisions of Hypertension and Heart Failure, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jichi Medical University · JPNational Yang Ming Chiao Tung University · TWRuijin Hospital · CNAtma Jaya Catholic University of Indonesia · IDChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese General Hospital and Medical Center · PHChinese University of Hong Kong · HKFortis Healthcare · INHanyang University Medical Center · KRHiroshima General Hospital · JPHue University · VNKing George's Medical University · INNational Taiwan University · TWNational University of Singapore · SGPelita Harapan University · IDPunjab Medical Center · PKTan Tock Seng Hospital · SGUniversity of Malaya · MYUniversity of the East Ramon Magsaysay Memorial Medical Center · PHYonsei University Health System · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For adopting recently introduced hypertension phenotypes categorized using office and out of office blood pressure (BP) for the diagnosis of hypertension and antihypertension drug therapy, it is mandatory to define the corresponding out of office BP with the specific target BP recommended by the major guidelines. Such conditions include white-coat hypertension (WCH), masked hypertension (MH), white-coat uncontrolled hypertension (WUCH), and masked uncontrolled hypertension (MUCH). Here, the authors review the relevant literature and discuss the related issue to facilitate the use of corresponding BPs for proper diagnosis of WCH, MH, WUCH, and MUCH in the setting of standard target BP as well as intensive target BP. The methodology of deriving the corresponding BP has evolved from statistical methods such as standard deviation, percentile value, and regression to an outcome-based approach using pooled international cohort study data and comparative analysis in randomized clinical trials for target BPs such as the SPRINT and STEP studies. Corresponding BPs to 140/90 and 130/80 mm Hg in office BP is important for safe and strict achievement of intensive BP targets. The corresponding home, daytime, and 24-h BPs to 130/80 mm Hg in office BP are 130/80, 130/80, and 125/75 mm Hg, respectively. However, researchers have found some discrepancies among the home corresponding BPs. As tentative criterion for de-escalation of antihypertensive therapy as shown in European guidelines was 120 mm Hg in office BP, corresponding home, daytime, and 24-h systolic BPs to 120 mm Hg in office systolic BP are 120, 120, and 115 mm Hg, respectively.

Indexed as

Blood PressureBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryHypertensionWhite Coat HypertensionAntihypertensive AgentsAsiaHumansMasked HypertensionOffice VisitsAntihypertensive Agentsambulatory blood pressure/home blood pressure monitorantihypertensive therapycorresponding blood pressureshypertension guidelinesmasked uncontrolled hypertensionwhite‐coat hypertension

Identifiers

PMID37878534
PMCPMC11654862
OpenAlexW4387948486

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.