Evidence map›Paper›PMID 33319500›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2021

Optimal combinations of systolic and diastolic blood pressure in Korea: A nationwide population-based cohort study.

Won-Jun Choi, Hye-Sun Lee, Jung Hwa Hong, Hyuk-Jae Chang, Ji-Won Lee

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 72% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 2 countries.

Won-Jun ChoiDepartment of Family Medicine, Gangnam Severance Hospital, Yonsei University, Seoul, Korea.
Hye-Sun LeeBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0001-6328-6948
Jung Hwa HongInstitute of Health Insurance & Clinical Research, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
Hyuk-Jae ChangDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Ji-Won LeeDepartment of Family Medicine, Gangnam Severance Hospital, Yonsei University, Seoul, Korea.ORCID 0000-0002-2666-4249
Yonsei University · KRNational Health Insurance Service Ilsan Hospital · KRUniversity Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the optimal combinations of systolic blood pressure (SBP) and diastolic blood pressure (DBP) levels for lowest mortality in participants not taking hypertensive medication at the study baseline using nationwide representative databases. Survival rates and hazard ratios (HRs) were calculated using Kaplan-Meier curves and multivariable Cox regression analyses. The discriminatory ability for clinical outcomes was assessed by Harrell's C-index analysis. A survival spline curve was presented, and Classification and Regression Tree (CART) analysis was performed. SBP ≥ 140 group and DBP ≥ 90 group had the highest risk of mortality. Within SBP < 120, the HR (95% CIs) for all-cause mortality (ACM) was the lowest for DBP 70-79. Within SBP 120-139, the HR (95% CIs) for ACM was significantly lower for DBP 70-79. Within SBP ≥ 140, the HR (95% CIs) for ACM was significantly lower for DBP 80-89. Conversely, within SBP ≥ 140, DBP < 70 showed the highest risk for ACM. Similar relationships were observed when survival spline curves and CART analysis were used. The combination of SBP and DBP discriminated better than SBP or DBP alone for mortality. The effect of DBP on mortality varies according to the SBP range. It is more effective to evaluate the effect of SBP and DBP jointly for clinical outcomes.

Indexed as

Cardiovascular DiseasesHypertensionBlood PressureCohort StudiesHumansRepublic of KoreaRisk Factorsblood pressurehypertensionmortalityprimary health care

Identifiers

PMID33319500
PMCPMC8029955
OpenAlexW3111665003

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.