Evidence map›Paper›PMID 35509274›Full record

ArticleFrontiers in cardiovascular medicine2022

Association Between Left Ventricular Geometry and Renal Outcomes in Patients With Chronic Kidney Disease: Findings From Korean Cohort Study for Outcomes in Patients With Chronic Kidney Disease Study.

Sang Heon Suh, Tae Ryom Oh, Hong Sang Choi, Chang Seong Kim, Eun Hui Bae, Kook-Hwan Oh, Joongyub Lee, Ji Yong Jung, Kyu-Beck Lee, Seong Kwon Ma and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 9 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 5 institutions in 1 country.

Sang Heon SuhDepartment of Internal Medicine, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea.
Tae Ryom OhDepartment of Internal Medicine, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea.
Hong Sang ChoiDepartment of Internal Medicine, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea.
Chang Seong KimDepartment of Internal Medicine, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea.
Eun Hui BaeDepartment of Internal Medicine, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea.
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.
Joongyub LeeDepartment of Prevention and Management, School of Medicine, Inha University, Incheon, South Korea.
Ji Yong JungDivision of Nephrology, Department of Internal Medicine, Gachon University of Gil Medical Center, Incheon, South Korea.
Kyu-Beck LeeDepartment of Internal Medicine, School of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University Seoul, Seoul, South Korea.
Seong Kwon MaDepartment of Internal Medicine, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea.
Soo Wan KimDepartment of Internal Medicine, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea.
Chonnam National University Hospital · KRGachon University Gil Medical Center · KRInha University · KRKangbuk Samsung Hospital · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of left ventricular (LV) geometry on the renal outcomes in patients with chronic kidney disease (CKD) has not been established yet. We aimed to investigate the association of LV geometry with renal outcomes and all-cause mortality in patients with pre-dialysis CKD. Methods: A total of 2,144 subjects from the Korean Cohort Study for Outcome in Patients With Chronic Kidney Disease (KNOW-CKD) were categorized by LV geometry, which was defined by LV mass index and relative wall thickness [normal geometry, concentric remodeling, eccentric hypertrophy (eLVH), and concentric hypertrophy (cLVH)]. Study outcomes were composite renal events [decline of kidney function (the first occurrence of > 50% decline of eGFR or doubling of serum creatinine from the baseline) and onset of ESRD (initiation of dialysis or kidney transplantation) during follow-up periods)] and all-cause mortality. Results: Cox regression analysis revealed that eLVH [adjusted hazard ratio (HR) 1.498, 95% confidence interval (CI) 1.197-1.873] and cLVH (adjusted HR 1.289, 95% CI 1.011-1.643) were associated with increased risk of composite renal events, whereas concentric remodeling (adjusted HR 1.881, 95% CI 1.135-3.118) and cLVH (adjusted HR 2.216, 95% CI 1.341-3.664) were associated with increased risk of all-cause mortality. Sensitivity analyses confirmed that concentric remodeling (adjusted HR 1.993, 95% CI 1.197-3.368) and eLVH (adjusted HR 1.588, 95% CI 1.261-2.001) are independently associated with all-cause mortality and composite renal events, respectively. Conclusion: In conclusion, we report that LV geometry is significantly associated with adverse renal outcomes and all-cause mortality in patients with pre-dialysis CKD. Echocardiographic determination of LV geometry may help the early identification for the patients with high risk of CKD progression.

Indexed as

all-cause mortalitychronic kidney diseaseleft ventricular geometryleft ventricular hypertrophyrelative wall thicknessrenal outcome

Identifiers

PMID35509274
PMCPMC9058055
OpenAlexW4223920861

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.