Evidence map›Paper›PMID 30897893›Full record

ArticleKidney research and clinical practice2019

Framingham risk score and risk of incident chronic kidney disease: A community-based prospective cohort study.

Changhyun Lee, Hae-Ryong Yun, Young Su Joo, Sangmi Lee, Joohwan Kim, Ki Heon Nam, Jong Hyun Jhee, Jung Tak Park, Tae-Hyun Yoo, Shin-Wook Kang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Kidney research and clinical practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  14. Blood pressure control in patients with chronic kidney disease.The Korean journal of internal medicine · 2021
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  17. Renal effects of uric acid: hyperuricemia and hypouricemia.The Korean journal of internal medicine · 2020
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  20. Long-Term Effects of Air Pollutants on Mortality Risk in Patients with End-Stage Renal Disease.International journal of environmental research and public health · 2020
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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 2 institutions in 1 country.

Changhyun LeeDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Hae-Ryong YunDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Young Su JooDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Sangmi LeeDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Joohwan KimDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Ki Heon NamDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Jong Hyun JheeDivision of Nephrology and Hypertension, Department of Internal Medicine, Inha University School of Medicine, Incheon, Korea.
Jung Tak ParkDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Tae-Hyun YooDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Shin-Wook KangDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.
Seung Hyeok HanDepartment of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0001-7923-5635
Yonsei University · KRInha University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease and chronic kidney disease share several common risk factors. The Framingham risk score is hypothesized to predict chronic kidney disease development. We determined if the Framingham risk scoring system can correctly predict incident chronic kidney disease in the general population.

methodsThis study included 9,080 subjects who participated in the Korean Genome and Epidemiology Study between 2001 and 2014 and had normal renal function. The subjects were classified into low- (< 10%), intermediate- (10-20%), and high- (> 20%) risk groups based on baseline Framingham risk scores. The primary endpoint was

resultsDuring a mean follow-up duration of 8.9 ± 4.3 years, 312 (5.3%), 217 (10.8%), and 205 (16.9%) subjects developed chronic kidney disease in the low, intermediate, and high risk groups, respectively (

conclusionThe Framingham risk score predicted incident chronic kidney disease and enhanced risk stratification in conjunction with traditional renal parameters in the general population with normal renal function.

Indexed as

Chronic kidney diseaseFramingham risk scoreKorean Genome and Epidemiology StudyProteinuria

Identifiers

PMID30897893
PMCPMC6481968
OpenAlexW2923108263

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.