Evidence map›Paper›PMID 41044723›Full record

ArticleKorean circulation journal2026

Current Therapeutic Patterns of Pulmonary Arterial Hypertension in Korea: A Five-Year Follow-up of the PHOENIKS Longitudinal Cohort.

Kyung Eun Ha, Seho Park, Wook-Jin Chung, Gee-Hee Kim, Jae-Hyeong Park, Jung Hyun Choi, Hyungseop Kim, Ran Heo, Dae Hwan Bae, Youngwoo Jang and 1 more

Abstract read
In one paragraph

Article in Korean circulation journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Kyung Eun Ha *Department of Cardiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0003-1036-8960
Seho Park *Department of Cardiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0009-0007-7380-7541
Wook-Jin ChungDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-9767-7098
Gee-Hee KimDivision of Cardiology, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-0279-7370
Jae-Hyeong ParkDepartment of Cardiology in Internal Medicine, Chungnam National University Hospital, Chungnam National University, Daejeon, Korea.ORCID https://orcid.org/0000-0001-7035-286X
Jung Hyun ChoiDivision of Cardiology, Department of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0001-7171-8843
Hyungseop KimDepartment of Cardiology, Keimyung University Dongsan Hospital, Keimyung University College of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0001-7056-4221
Ran HeoDivision of Cardiology, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2675-3612
Dae Hwan BaeDepartment of Cardiology, Chungbuk National University Hospital, Cheongju, Korea.ORCID https://orcid.org/0000-0002-4464-8613
Youngwoo JangDepartment of Cardiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-8802-268X
PHOENIKS Investigators

Funding

Gachon University GCU-202308960001Gil Medical Center, Gachon University FRD2020-11Korea Medical Device Development Fund 9991006834Korea Medical Device Development Fund RS-2020-KD000164Korea National Institute of Health 2018-ER6304-00Korea National Institute of Health 2018-ER6304-01Korea National Institute of Health 2018-ER6304-02Korea National Institute of Health 2021-ER0902-00Korea National Institute of Health 2021-ER0902-01Korea National Institute of Health 2021-ER0902-02Korea National Institute of Health 2024ER0902-00Korea National Institute of Health 2024ER0902-01
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe 2022 revised pulmonary hypertension guidelines emphasize risk stratification to enhance outcomes, necessitating investigation into adherence. This study aimed to examine the treatment patterns of patients in the Pulmonary Arterial Hypertension (PAH) Platform for deep Phenotyping in Korean Subjects (PHOENIKS) study cohort.

methodsA total of 321 patients from the PHOENIKS cohort were included, consisting of 101 patients in phase 1 (2018-2020) and 220 in phase 2 (2021-2023). A total of 275 patients with either idiopathic PAH or associated PAH were included in the final analysis. Risk assessment was conducted utilizing an online calculator that integrates multiple validated risk stratification models. Adherence to the revised guidelines was evaluated, and survival outcomes were analyzed over the study period.

resultsThe cohort consisted primarily of middle-aged and female patients (mean age 51.96±15 years, 71% female). A total of 53% had idiopathic PAH and 47% had associated PAH. Intermediate-risk patients comprised 62% of the cohort during the initial diagnosis. The proportion of low-risk patients increased from 34% to 64% throughout the follow-up period. Adherence to the revised guidelines slightly improved during the study period, though only 26% of patients demonstrated compliance. The one-year survival rate was 96%, whereas the 3-year survival rate was 87%.

conclusionsThe current Korean PAH treatment strategy must be improved to align with the revised guidelines and optimize patient outcomes. Further efforts are needed to change health insurance coverage criteria to enhance guideline adherence.

Indexed as

Pulmonary arterial hypertensionRisk scoresSurvivalTherapy

Identifiers

PMID41044723
PMCPMC12834627

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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.