Evidence map›Paper›PMID 27194712›Full record

ReviewAmerican journal of physiology. Renal physiology2016

High serum creatinine nonlinearity: a renal vital sign?

Carlos E Palant, Lakhmir S Chawla, Charles Faselis, Ping Li, Thomas L Pallone, Paul L Kimmel, Richard L Amdur

Open access · bronzeAbstract readReview
In one paragraph

Review 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
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

7 authors at 4 institutions in 1 country.

Carlos E PalantDepartment of Medicine, Veterans Affairs Medical Center, Washington, District of Columbia; Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University Medical Center, Washington, District of Columbia;
Lakhmir S ChawlaDepartment of Medicine, Veterans Affairs Medical Center, Washington, District of Columbia; Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University Medical Center, Washington, District of Columbia; Department of Anesthesiology and Critical Care Medicine, George Washington University Medical Center, Washington, District of Columbia;
Charles FaselisDepartment of Medicine, Veterans Affairs Medical Center, Washington, District of Columbia;
Ping LiDepartment of Medicine, Veterans Affairs Medical Center, Washington, District of Columbia; Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University Medical Center, Washington, District of Columbia;
Thomas L PalloneDepartment of Medicine, University of Maryland at Baltimore, Baltimore, Maryland;
Paul L KimmelDivision of Renal Diseases and Hypertension, Department of Medicine, George Washington University Medical Center, Washington, District of Columbia; National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;
Richard L AmdurDepartment of Medicine, Veterans Affairs Medical Center, Washington, District of Columbia; Biostatistics Core, Veterans Affairs Medical Center, Washington, District of Columbia; Department of Surgery, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia amdur@gwu.edu.
Washington University Medical Center · USGeorge Washington University · USUniversity of Maryland, Baltimore · USVeterans Health Administration · US

Funding

MICROVASCULAR TRANSPORT IN THE RENAL MEDULLAR01DK042495 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI PALLONE, THOMAS L · 1995 to 2019
$2.6M
NIDDK NIH HHS R01 DK042495
6 · The paper itself

Abstract

Patients with chronic kidney disease (CKD) may have nonlinear serum creatinine concentration (SC) trajectories, especially as CKD progresses. Variability in SC is associated with renal failure and death. However, present methods for measuring SC variability are unsatisfactory because they blend information about SC slope and variance. We propose an improved method for defining and calculating a patient's SC slope and variance so that they are mathematically distinct, and we test these methods in a large sample of US veterans, examining the correlation of SC slope and SC nonlinearity (SCNL) and the association of SCNL with time to stage 4 CKD (CKD4) and death. We found a strong correlation between SCNL and rate of CKD progression, time to CKD4, and time to death, even in patients with normal renal function. We therefore argue that SCNL may be a measure of renal autoregulatory dysfunction that provides an early warning sign for CKD progression.

Indexed as

Kidney Function TestsAnimalsCreatinineHumansNonlinear DynamicsRenal Insufficiency, ChronicCreatinineacute kidney injurychronic kidney disease progressionserum creatinine concentration variability

Identifiers

PMID27194712
PMCPMC4971886
OpenAlexW2397103773

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.