Evidence map›Paper›PMID 29977083›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2018

Optimal schedule of home blood-pressure measurements for the diagnosis of hypertension.

Moo-Yong Rhee, Jang Young Kim, Ji-Hyun Kim, June Namgung, Sung Yun Lee, Deok-Kyu Cho, Tae-Young Choi, Seok Yeon Kim

Abstract read
PubMed Publisher
In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Algorithm for diagnosing hypertension using out-of-office blood pressure measurements.Journal of clinical hypertension (Greenwich, Conn.) · 2021
    Article
  4. Article
  5. Article
  6. Validation of an automated home blood pressure measurement device in oldest-old populations.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
    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

8 authors at 6 institutions in 1 country.

Moo-Yong RheeCardiovascular Center, Dongguk University Ilsan Hospital, Goyang, Korea. mooyong_rhee@dumc.or.kr.
Jang Young KimDivision of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju Severance Christian Hospital, Wonju, Korea.
Ji-Hyun KimCardiovascular Center, Dongguk University Ilsan Hospital, Goyang, Korea.
June NamgungDivision of Cardiology, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea.
Sung Yun LeeDivision of Cardiology, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea.
Deok-Kyu ChoDivision of Cardiology, Myongji Hospital, Goyang, Korea.
Tae-Young ChoiDivision of Cardiology, Myongji Hospital, Goyang, Korea.
Seok Yeon KimDepartment of Cardiology, Seoul Medical Center, Seoul, Korea.
Inje University Ilsan Paik Hospital · KRMyongji Hospital · KRDongguk University Ilsan Hospital · KRSeoul Medical Center · KRWonju Severance Christian Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various home blood-pressure (HBP) measurement schedules were compared to determine the optimal schedule of HBP measurement for the diagnosis of hypertension. Out of 319 individuals who were suspected of having hypertension based on office BP measurements and who did not take antihypertensive drugs, 157 individuals who completed 42 HBP measurements over 7 days and who had a valid 24-h ambulatory blood pressure (ABP) measurement were included in this analysis. We evaluated five HBP measurement schedules to determine the optimal HBP measurement schedule for the diagnosis of hypertension. The cumulatively averaged HBP from 5 to 6 measurement days showed a Pearson correlation coefficient of >0.990 compared to HBP averaged for 6 or 7 days depending on the method. The intraclass correlation coefficient of the cumulatively averaged HBP measurements compared with the 24-h ABP measurement was excellent (≥0.75) from the average of three measurement days and increased steadily with increasing averaged days of HBP measurements. Compared with a diagnosis using a 24-h ABP measurement, the diagnostic sensitivity, specificity, and positive and negative predictive values of HBP measurements were not different among the five methods. The diagnostic agreement of cumulatively averaged HBP measurements was nearly perfect (kappa ≥ 0.9) from the average of five measurement days compared with a diagnosis based on HBP measurements averaged for 6 or 7 days and diagnosis based on averaged HBP measurements of previous days. We suggest obtaining HBP measurements over 5 days or more, in the morning and evening, taking two or more measurements per occasion, and averaging all of the readings as the optimal schedule of HBP measurement for the diagnosis of hypertension.

Indexed as

AdultAgedBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryFemaleHumansHypertensionMaleMiddle Aged

Identifiers

PMID29977083
OpenAlexW2850270461

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.