Evidence map›Paper›PMID 34072329›Full record

ReviewInternational journal of molecular sciences2021

A Computational Model of Kidney Function in a Patient with Diabetes.

Rui Hu, Anita Layton

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Novel Biomarkers for the diagnosis of diabetic nephropathy.Caspian journal of internal medicine · 2024
    Review
  8. Article
  9. Sex differences in circadian regulation of kidney function of the mouse.American journal of physiology. Renal physiology · 2022
    Article
  10. Article
  11. Article
  12. 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

2 authors at 1 institution in 1 country.

Rui HuDepartment of Applied Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Anita LaytonDepartment of Applied Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
University of Waterloo · CA

Funding

Canada 150 Research Chair Program N/ANatural Sciences and Engineering Research Council of Canada RGPIN-2019-03916
6 · The paper itself

Abstract

At the onset of diabetes, the kidney grows large and the glomerular filtration rate becomes abnormally high. These structural and hemodynamics changes affect kidney function and may contribute to the development of chronic kidney disease. The goal of this study is to analyze how kidney function is altered in patients with diabetes and the renal effects of an anti-hyperglyceamic therapy that inhibits the sodium-glucose cotransporter 2 (SGLT2) in the proximal convoluted tubules. To accomplish that goal, we have developed a computational model of kidney function in a patient with diabetes and conducted simulations to study the effects of diabetes and SGLT2 inhibition on solute and water transport along the nephrons. Simulation results indicate that diabetes-induced hyperfiltration and tubular hypertrophy enhances Na

Indexed as

Disease SusceptibilityModels, BiologicalAnimalsBiological TransportBiomarkersDiabetes MellitusDiabetic NephropathiesHumansKidneyKidney Function TestsKidney GlomerulusKidney TubulesSodium-Glucose Transporter 2Sodium-Glucose Transporter 2 InhibitorsBiomarkersSodium-Glucose Transporter 2Sodium-Glucose Transporter 2 Inhibitorsdiuresisepithelial transportglucose transportnatriuresisSGLT2 inhibitorssodium transport

Identifiers

PMID34072329
PMCPMC8198657
OpenAlexW3164598916

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.