Evidence map›Paper›PMID 32508065›Full record

ArticleJournal of Korean medical science2020

Urinary Angiotensinogen in addition to Imaging Classification in the Prediction of Renal Outcome in Autosomal Dominant Polycystic Kidney Disease.

Hayne Cho Park, Juhee Kim, AJin Cho, Do Hyoung Kim, Young Ki Lee, Hyunjin Ryu, Hyunsuk Kim, Kook Hwan Oh, Yun Kyu Oh, Young Hwan Hwang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Unraveling the Genetic Links Between Polycystic Kidney Disease and Hypertension Through ARL13B.International journal of nephrology and renovascular disease · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Article
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

16 authors at 7 institutions in 1 country.

Hayne Cho ParkDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1128-3750
Juhee KimDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2194-6327
AJin ChoDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7097-7026
Do Hyoung KimDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8664-8830
Young Ki LeeDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3464-6144
Hyunjin RyuDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-2148-4465
Hyunsuk KimDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1889-253X
Kook Hwan OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0001-9525-2179
Yun Kyu OhDepartment of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-8632-5743
Young Hwan HwangTruewords Dialysis Clinic, Incheon, Korea.ORCID https://orcid.org/0000-0001-8935-2659
Kyu Beck LeeDepartment of Internal Medicine, Kangbuk Samsung Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-3904-5404
Soo Wan KimDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0002-3540-9004
Yeong Hoon KimDepartment of Internal Medicine, Busan Paik Hospital, Busan, Korea.ORCID https://orcid.org/0000-0002-4101-9993
Joongyub LeePreventive and Management Center, Inha University Hospital, Incheon, Korea.ORCID https://orcid.org/0000-0003-2784-3772
Curie AhnDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea. curie@snu.ac.kr.ORCID https://orcid.org/0000-0001-7033-1102
KNOW-CKD Investigators Group
Hallym University · KRSeoul National University Hospital · KRChonnam National University · KRInha University Hospital · KRInje University Busan Paik Hospital · KRKangbuk Samsung Hospital · KRSeoul National University · KR

Funding

Korea Centers for Disease Control & Prevention 2011E3300300Korea Centers for Disease Control & Prevention 2012E3301100Korea Centers for Disease Control & Prevention 2013E3301600Korea Centers for Disease Control & Prevention 2013E3301601Korea Centers for Disease Control & Prevention 2013E3301602Korea Centers for Disease Control & Prevention 2016E3300200Korea Centers for Disease Control & Prevention 2016E3300201Korea Centers for Disease Control & Prevention 2016E3300202Korea Centers for Disease Control & Prevention 2019E320100
6 · The paper itself

Abstract

backgroundIntrarenal renin-angiotensin system (RAS) is known to play the major role in the development of hypertension and renal progression in autosomal dominant polycystic kidney disease (ADPKD). Urinary angiotensinogen to creatinine ratio (AGT/Cr) was suggested as a novel biomarker to reflect intrarenal RAS activity. This study was performed to evaluate urinary AGT/Cr as a predictive biomarker for renal function decline in addition to imaging classification in a prospective ADPKD cohort.

methodsFrom 2011 to 2016, a total of 364 ADPKD patients were enrolled in the prospective cohort called the KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD). Among them, a total of 207 subjects in chronic kidney disease stage 1-4 with baseline urinary AGT and total kidney volume and subsequent renal function follow-up data over more than 1 year were included in the analysis. Patients were defined as slow progressors (SP) if they are classified as 1A or 1B by imaging classification whereas rapid progressors (RP) if they are classified as 1C-1E. Patients were divided according to AGT/Cr quartiles and annual estimated glomerular filtration rate (eGFR) slope was compared among highest quartile (hAGT group) and the rest of quartiles (lAGT group). Patients were divided into 4 groups to evaluate the predictive value of urinary AGT/Cr in addition to imaging classification: SP/lAGT, SP/hAGT, RP/lAGT, and RP/hAGT. The Cox regression model was used to evaluate the hazard ratio (HR) between groups.

resultsThe mean age was 45.9 years and 88.9% had hypertension. Baseline eGFR was 79.0 ± 28.4 mL/min/1.73 m² and median height-adjusted total kidney volume was 788.2 (471.2; 1,205.2) mL/m. The patients in the hAGT group showed lower eGFR (72.4 ± 24.8 vs. 81.1 ± 29.2 mL/min/1.73 m²,

conclusionUrinary AGT/Cr can be a useful predictive marker in the patients with relatively small ADPKD. Various biomarkers should be considered to define RP when implementing novel treatment in the patients with ADPKD.

Indexed as

AdultAgedAngiotensinogenBiomarkersCreatinineCross-Sectional StudiesFemaleGlomerular Filtration RateHumansHypertensionKidneyMaleMiddle AgedPolycystic Kidney, Autosomal DominantPrognosisProspective StudiesAGT protein, humanAngiotensinogenBiomarkersCreatinineAngiotensinogenAutosomal Dominant Polycystic KidneyBiomarkersGlomerular Filtration Rate

Identifiers

PMID32508065
PMCPMC7279941
OpenAlexW3023235054

What OpenQuestion holds

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LicenceCC BY-NC
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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.