Evidence map›Paper›PMID 33494809›Full record

ArticleClinical hypertension2021

Smartphone / smartwatch-based cuffless blood pressure measurement : a position paper from the Korean Society of Hypertension.

Hae Young Lee, Dong-Ju Lee, Jongmo Seo, Sang-Hyun Ihm, Kwang-Il Kim, Eun Joo Cho, Hyeon Chang Kim, Jinho Shin, Sungha Park, Il-Suk Sohn and 7 more

Open access · diamondAbstract readLetter
In one paragraph

Article in Clinical hypertension, 2021. 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
6.7field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Wearable health monitoring: wave of the future or waste of time?Global cardiology science & practice · 2024
    Review
  10. Review
  11. Article
  12. The reality and serendipity of cuffless blood pressure monitoring.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Article
  19. Review
  20. 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

17 authors at 8 institutions in 1 country.

Hae Young Lee *Seoul National University College of Medicine, Seoul, South Korea.
Dong-Ju Lee *Seoul National University College of Medicine, Seoul, South Korea.
Jongmo SeoDepartment of Electrical and Computer Engineering, College of Engineering, Seoul National University, Seoul, South Korea.
Sang-Hyun IhmDivision of Cardiology, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Kwang-Il KimDivision of Geriatrics, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
Eun Joo ChoDivision of Cardiology, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Jinho ShinDivision of Cardiology, Department of Internal Medicine, Hanyang University Medical Center, Seoul, South Korea.
Sungha ParkDivision of Cardiology, Severance Cardiovascular Hospital and Severance Cardiovascular Hospital and Integrated Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, South Korea.
Il-Suk SohnDivision of Cardiology, Department of Internal Medicine, Kyung Hee University at Gangdong, Seoul, South Korea.
Wook-Jin ChungDivision of Cardiology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, South Korea.
Sung Kee RyuDivision of Cardiology, Department of Internal Medicine, Nowon Eulji Medical Center, Eulji University, Seoul, South Korea.
Ki Chul SungDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Seoul, South Korea.
Juhan KimDivision of Cardiology, Department of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea.
Dae-Hee KimDepartment of Cardiology, Asan Medical Center, College of Medicine, Ulsan University, Seoul, South Korea.
Wook Bum PyunDivision of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea. pwb423@ewha.ac.kr.
Korean Society of Hypertension
Seoul National University · KRYonsei University · KREulji University · KREwha Womans University · KRSeoul National University Bundang Hospital · KRAsan Medical Center · KRChonnam National University Hospital · KRGachon University Gil Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone technology has spread rapidly around the globe. According to a report released by the Korea Information Society Development Institute, about 95% of Koreans aged more than 30 years old owned smartphones. Recently, blood pressure (BP) measurement using a photoplethysmography-based smartphone algorithm paired with the smartwatch is continuously evolving. In this document, the Korean Society of Hypertension intends to remark the current results of smartphone / smartwatch-based BP measurement and recommend optimal BP measurement methods using a smartphone device. We aim to increase the likelihood of success in implementing these new technologies into improved hypertension awareness, diagnosis, and control.

Indexed as

Blood pressureHypertensionMeasurementPlethysmographySmartphone

Identifiers

PMID33494809
PMCPMC7831256
OpenAlexW3125173527

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.