Evidence map›Paper›PMID 31601873›Full record

ArticleScientific reports2019

Risk of end-stage renal disease in patients with hypertrophic cardiomyopathy: A nationwide population-based cohort study.

Heesun Lee, Kyungdo Han, Jun-Bean Park, In-Chang Hwang, Yeonyee E Yoon, Hyo Eun Park, Su-Yeon Choi, Yong-Jin Kim, Goo-Yeong Cho, Hyung-Kwan Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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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 at 4 institutions in 3 countries.

Heesun LeeDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Kyungdo HanDepartment of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jun-Bean ParkDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.ORCID http://orcid.org/0000-0003-4053-8713
In-Chang HwangDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.ORCID http://orcid.org/0000-0003-4966-3924
Yeonyee E YoonDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Hyo Eun ParkDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Su-Yeon ChoiDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.ORCID http://orcid.org/0000-0001-9977-4740
Yong-Jin KimDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Goo-Yeong ChoDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Hyung-Kwan KimDivision of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea. cardiman73@gmail.com.ORCID http://orcid.org/0000-0001-7950-2131
Steve R OmmenDivision of Cardiovascular Diseases, Mayo Clinic, College of Medicine, Rochester, Minnesota, USA.
Seoul National University · KRCatholic University of Korea · KRMayo Clinic · USNew Generation University College · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although hypertrophic cardiomyopathy (HCM), the most common inherited cardiomyopathy, has mortality rate as low as general population, previous studies have focused on identifying high-risk of sudden cardiac death. Thus, long-term systemic impact of HCM is still unclear. We sought to investigate the association between HCM and end-stage renal disease (ESRD). This was a nationwide population-based cohort study using the National Health Insurance Service database. We investigated incident ESRD during follow-up in 10,300 adult patients with HCM (age 62.1 years, male 67.3%) and 51,500 age-, sex-matched controls. During follow-up (median 2.8 years), ESRD developed in 197 subjects; 111 (1.08%) in the HCM, and 86 (0.17%) in the non-HCM (incidence rate 4.14 vs. 0.60 per 1,000 person-years, p < 0.001). In the HCM, the incidence rate for ESRD gradually increased with age, but an initial peak and subsequent plateau in age-specific risk were observed. HCM was a significant predictor for ESRD (unadjusted HR 6.90, 95% CI 5.21-9.15, p < 0.001), as comparable to hypertension and diabetes mellitus. Furthermore, after adjusting for all variables showing the association in univariate analysis, HCM itself remained a robust predictor of ESRD development (adjusted HR 3.93, 95% CI 2.82-5.46, p < 0.001). The consistent associations between HCM and ESRD were shown in almost all subgroups other than smokers and subjects with a history of stroke. Conclusively, HCM increased the risk of ESRD, regardless of known prognosticators. It provides new insight into worsening renal function in HCM, and active surveillance for renal function should be considered.

Indexed as

AgedAged, 80 and overCardiomyopathy, HypertrophicCohort StudiesDatabases, FactualFemaleHumansIncidenceInsurance, HealthKaplan-Meier EstimateKidney Failure, ChronicMaleMiddle AgedRepublic of KoreaRisk Factors

Identifiers

PMID31601873
PMCPMC6787203
OpenAlexW2979816209

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.