Evidence map›Paper›PMID 31591408›Full record

ArticleScientific reports2019

Estimation of nephron number in living humans by combining unenhanced computed tomography with biopsy-based stereology.

Takaya Sasaki, Nobuo Tsuboi, Yusuke Okabayashi, Kotaro Haruhara, Go Kanzaki, Kentaro Koike, Akimitsu Kobayashi, Izumi Yamamoto, Sho Takahashi, Toshiharu Ninomiya and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

  1. Are noninvasive measurements of nephron number achievable in humans?Current opinion in nephrology and hypertension · 2026
    Review
  2. A brief review of some artificial intelligence methods in nephrology.Pediatric nephrology (Berlin, Germany) · 2026
    Review
  3. Article
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  9. Review
  10. Upregulation of Piezo2 and increased extracellular matrix protein in diabetic kidney disease mice.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Assessment of nephron number and single-nephron glomerular filtration rate in a clinical setting.Hypertension research : official journal of the Japanese Society of Hypertension · 2021
    Review
  18. New imaging tools to measure nephron numberJournal of developmental origins of health and disease · 2021
    Review
  19. Review
  20. Mapping nephron mass in vivo using positron emission tomography.American journal of physiology. Renal physiology · 2021
    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

14 authors.

Takaya SasakiDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0001-9525-2638
Nobuo TsuboiDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan. tsuboi-n@jikei.ac.jp.
Yusuke OkabayashiDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Kotaro HaruharaDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1918-0390
Go KanzakiDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Kentaro KoikeDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Akimitsu KobayashiDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Izumi YamamotoDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Sho TakahashiClinical Research Support Center, The Jikei University School of Medicine Tokyo, Tokyo, Japan.
Toshiharu NinomiyaDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Akira ShimizuDepartment of Analytic Human Pathology, Nippon Medical School, Tokyo, Japan.
Andrew D RuleDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
John F BertramDepartment of Anatomy and Developmental Biology and Biomedical Discovery Institute, Monash University, Melbourne, Australia.
Takashi YokooDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.

Funding

The macro- and micro- anatomy and pathology of the aging kidneyR01DK090358 · NIDDK · MAYO CLINIC ROCHESTER · PI ANDREW David RULE · 2011 to 2026
$9.9M
NIDDK NIH HHS R01 DK090358
6 · The paper itself

Abstract

Methods for estimating nephron number in a clinical setting may be useful for predicting renal outcomes. This study aimed to establish such a method using unenhanced computed tomography (CT) and biopsy-based stereology. Patients or living kidney donors simultaneously subjected to enhanced and unenhanced CT examinations were randomly assigned to development and validation groups. The enhanced CT-measured arterial phase and the venous phase images of kidneys were regarded as the true values for cortical volume and parenchymal volume, respectively. Linear multiple regression analysis was used to create models for estimating cortical volume using explanatory variables including unenhanced CT-measured parenchymal volume. Nephron number was determined as the product of cortical volume and the glomerular density in biopsies of donors. Five equations for estimating cortical volume were created and verified. In donors, estimated nephron number by unenhanced CT was consistent with that by enhanced CT, with minimal errors in all models (636-655 ± 210-219 vs. 648 ± 224 × 10

Indexed as

Living DonorsTomography, X-Ray ComputedBiopsyFemaleHumansMaleMiddle AgedNephronsOrgan Size

Identifiers

PMID31591408
PMCPMC6779756

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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.