Evidence map›Paper›PMID 36609387›Full record

ArticleScientific reports2023

Impact of albuminuria on the various causes of death in diabetic patients: a nationwide population-based study.

Semin Cho, Hyuk Huh, Sehoon Park, Soojin Lee, Sehyun Jung, Minsang Kim, Kyu-Na Lee, Jin Hyuk Paek, Woo Yeong Park, Kyubok Jin and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  3. Article
  4. Article
  5. Article
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  8. Review
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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

17 authors at 10 institutions in 1 country.

Semin ChoDepartment of Internal Medicine, Chung-Ang University Gwang-Myeong Hospital, Gwangmyeong-si, Korea.
Hyuk HuhDepartment of Internal Medicine, Inje University Busan Paik Hospital, Busan, Korea.
Sehoon ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Soojin LeeDepartment of Internal Medicine, Uijeongbu Eulji University Medical Center, Uijeongbu-si, Korea.
Sehyun JungDepartment of Internal Medicine, Gyeongsang National University Hospital, Jinju-si, Korea.
Minsang KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Kyu-Na LeeDepartment of Internal Medicine, Republic of Korea Air Force Education and Training Command, Jinju-si, Korea.
Jin Hyuk PaekDepartment of Internal Medicine, Keimyung University School of Medicine, Dalgubeol-Daero, Dalseo-Gu, Daegu, 103542601, Korea.
Woo Yeong ParkDepartment of Internal Medicine, Keimyung University School of Medicine, Dalgubeol-Daero, Dalseo-Gu, Daegu, 103542601, Korea.
Kyubok JinDepartment of Internal Medicine, Keimyung University School of Medicine, Dalgubeol-Daero, Dalseo-Gu, Daegu, 103542601, Korea.
Seungyeup HanDepartment of Internal Medicine, Keimyung University School of Medicine, Dalgubeol-Daero, Dalseo-Gu, Daegu, 103542601, Korea.
Kwon Wook JooDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Chun Soo LimDepartment of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
Yon Su KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Kyungdo HanDepartment of Statistics and Actuarial Science, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, Korea. hkd917@naver.com.
Yaerim KimDepartment of Internal Medicine, Keimyung University School of Medicine, Dalgubeol-Daero, Dalseo-Gu, Daegu, 103542601, Korea. yaerim86@gmail.com.
Dong Ki KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Keimyung University · KRSeoul National University · KRSeoul National University Hospital · KRCatholic University of Korea · KRChung-Ang University · KREulji University · KRGyeongsang National University Hospital · KRInje University Busan Paik Hospital · KRSNUH SMG-SNU Boramae Medical Center · KRSoongsil University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a well-known risk factor for mortality, and the risk is exacerbated by coexisting diabetic kidney disease (DKD). We aimed to explore the impact of DM on each cause of mortality according to kidney function and the presence of albuminuria. Data on subjects with DM were extracted from the Nationwide Health Insurance Database of South Korea between 2009 and 2012. Subjects were divided by eGFR and albuminuria into five groups. To evaluate the risk of diabetes, we used the Cox proportional hazards model. A total of 2,614,662 patients were enrolled in this study. Most causes of death showed a higher incidence in an advanced stage of DKD. In addition to all-cause mortality and cardiovascular death, the risk of death from neoplasms and diseases of the endocrine, respiratory, and digestive systems is increased by albuminuria. The synergistic effect of a reduced eGFR and the presence of albuminuria was prominent in death from circulatory diseases, and endocrine and metabolic diseases. The risk for mortality was different according to the stage of DKD. Even in patients with a favorable eGFR, the presence of albuminuria significantly increased the risk for mortality, especially that due to cardiovascular causes.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesAlbuminuriaCause of DeathGlomerular Filtration RateHumansRisk Factors

Identifiers

PMID36609387
PMCPMC9822964
OpenAlexW4313640145

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.