Evidence map›Paper›PMID 27605583›Full record

ArticleAmerican journal of physiology. Renal physiology2016

The Gomez' equations and renal hemodynamic function in kidney disease research.

Petter Bjornstad, Marko Škrtić, Yuliya Lytvyn, David M Maahs, Richard J Johnson, David Z I Cherney

Abstract read
In one paragraph

Article in American journal of physiology. Renal physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Volenrelaxin (LY3540378) increases renal plasma flow: a randomized Phase 1 trial.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Trial
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  6. Renal functional reserve predicts GFR response to empagliflozin in RENALIS and RACELINES clinical trials.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Observational
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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

6 authors at 3 institutions in 2 countries.

Petter BjornstadUniversity of Colorado School of Medicine petter.bjornstad@childrenscolorado.org.
Marko ŠkrtićToronto General Hospital/ University of Toronto.
Yuliya LytvynToronto General Hospital/University of Toronto.
David M MaahsUniversity of Colorado School of Medicine.
Richard J JohnsonUniversity of Colorado, Denver.
David Z I CherneyUniversity of Toronto.
University of Colorado Denver · USToronto General Hospital · CAUniversity of Toronto · CA

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Training Program in Diabetes ResearchT32DK063687 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Andrea Steck · 2002 to 2026
$5.2M
NIDDK NIH HHS P30 DK116074NIDDK NIH HHS T32 DK063687
6 · The paper itself

Abstract

Diabetic kidney disease (DKD) remains the leading cause of end-stage renal disease. A major challenge in preventing DKD is the difficulty in identifying high-risk patients at an early, pre-clinical stage. Albuminuria and eGFR as measures of renal function in DKD research and clinical practice are limited by regression of one-third of patients with microalbuminuria to normoalbuminuria and eGFR is biased and imprecise in the normal-elevated range. Moreover, existing methods that are used to assess renal function do not give detailed insight into the location of the renal hemodynamic effects of pharmacological agents at the segmental level. To gain additional information about the intrarenal circulation in-vivo in humans, mathematical equations were developed by Gomez et al in the 1950s. These equations used measurements of GFR, renal blood flow (RBF), effective renal plasma flow (ERPF), renal vascular resistance (RVR), hematocrit and serum protein to calculate afferent and efferent arteriolar resistances, glomerular hydrostatic pressure and filtration pressure. Although indirect and based on physiological assumptions, these techniques have the potential to improve researchers' ability to identify early pre-clinical changes in renal hemodynamic function in patients with a variety of conditions including DKD, thereby offering tremendous potential in mechanistic human research studies. In this review, we focus on the application of Gomez' equations and summarize the potential and limitations of this technique in DKD research. We also summarize illustrative data derived from Gomez' equations in patients with type 1 (T1D) and type 2 diabetes (T2D) and hypertension.

Indexed as

diabetic kidney diseaseglomerular filtration rateGomez' equationsrenal blood flowrenal hemodynamics

Identifiers

PMID27605583
PMCPMC6347069
OpenAlexW2507129113

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.