Evidence map›Paper›PMID 32881893›Full record

ArticlePloS one2020

Renal hyperfiltration as a risk factor for chronic kidney disease: A health checkup cohort study.

Se Won Oh, Ji Hyun Yang, Myung-Gyu Kim, Won Yong Cho, Sang Kyung Jo

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. The aging-related GFR decline in Chinese healthy elderly.International urology and nephrology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Protein supplementation: the double-edged sword.Proceedings (Baylor University. Medical Center) · 2024
    Review
  14. Article
  15. Glomerular hyperfiltration: part 2-clinical significance in children.Pediatric nephrology (Berlin, Germany) · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
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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

5 authors.

Se Won OhDivision of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-3795-9322
Ji Hyun YangDivision of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-8616-238X
Myung-Gyu KimDivision of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-8807-2452
Won Yong ChoDivision of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Sang Kyung JoDivision of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-0496-0258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRenal hyperfiltration (RHF) has been found to be an independent predictor of adverse cardiovascular outcome. However, it remains uncertain whether it is precursor of chronic kidney disease (CKD) in a healthy population. MATERIALS AND

methodsTo determine relative risks and identify the predictor of incident proteinuria and decline of estimated glomerular filtration rate (eGFR) in subjects with RHF. A total of 55,992 subjects aged ≥20 years who underwent health check-up during 2004-2017 were included. Among them, 16,946 subjects who completed at least two health checkups were analyzed.

resultsA total of 949 (5.6%) subjects developed proteinuria and 98 (0.6%) subjects showed ≥ 30% of eGFR decline. The risk of incident proteinuria was significantly higher in those with RHF (RR: 1.644; 95% CI: 1.064-2.541). Those with RHF showed 8.720 fold (95% CI: 4.205-18.081) increased risk for ≥30% decline. ESR, CRP, and monocyte count showed reversed J shaped curve according to the increase of eGFR. The adjusted mean of monocyte count was significantly higher in participants with eGFR ≥90ml/min/1.73m2 or < 60ml/min/1.73m2 compared to that in patients with eGFR 75-89ml/min/1.73m2. Compared to subjects with the lowest tertile of monocyte and no RHF, those with the highest tertile of monocyte count in the RHF group had 3.314-fold (95% CI: 1.893-5.802) higher risk of incident proteinuria and 3.822-fold (95% CI, 1.327-11.006) risk of 30% eGFR decline.

conclusionsRHF had significantly increased risk of developing proteinuria and CKD in healthy subjects. Higher monocyte count might be used as a predictor of CKD in subjects with RHF.

Indexed as

AdultCohort StudiesC-Reactive ProteinGlomerular Filtration RateHumansLeukocyte CountMaleMiddle AgedProportional Hazards ModelsProteinuriaRenal Insufficiency, ChronicRisk FactorsYoung AdultC-Reactive Protein

Identifiers

PMID32881893
PMCPMC7470278

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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.