Evidence map›Paper›PMID 22269876›Full record

ArticleAmerican journal of nephrology2012

Structural equation modeling highlights the potential of Kim-1 as a biomarker for chronic kidney disease.

Lesley Gardiner, Adebayo Akintola, Gang Chen, Jeffrey M Catania, Vishal Vaidya, Robert C Burghardt, Joseph V Bonventre, Jerome Trzeciakowski, Alan R Parrish

Open access · bronzeAbstract read
In one paragraph

Article in American journal of nephrology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

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  18. Common chronic conditions do not affect performance of cell cycle arrest biomarkers for risk stratification of acute kidney injury.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2016
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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

9 authors at 5 institutions in 1 country.

Lesley GardinerCollege of Medicine, Texas A&M Health Science Center, Bryan, TX, USA.
Adebayo Akintola
Gang Chen
Jeffrey M Catania
Vishal Vaidya
Robert C Burghardt
Joseph V Bonventre
Jerome Trzeciakowski
Alan R Parrish
Texas A&M Health Science Center · USTexas A&M University · USBrigham and Women's Hospital · USHarvard University · USUniversity of Missouri · US

Funding

KIDNEY INJURY MOLECULE-1 IN EPITHELIAL REPAIRR01DK072381 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT · 2005 to 2025
$8.6M
Mechanisms of Ischemic Kidney Injury and RepairR01DK039773 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI JOSEPH VINCENT BONVENTRE · 1987 to 2026
$6.2M
Mechanisms of Ischemic Kidney Injury and RepairR37DK039773 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI BONVENTRE, JOSEPH VINCENT · 1993 to 2021
$5.2M
Age-Dependent Nephrotoxicity Involved Loss of the N-cadherin/a-catenin ComplexR01AG034154 · NIA · UNIVERSITY OF MISSOURI-COLUMBIA · PI PARRISH, ALAN R · 2010 to 2014
$1.2M
Technology and Endothelial Biology of Kidney Injury Molecule-1K99ES016723 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI VAIDYA, VISHAL S. · 2007 to 2007
$90k
NIA NIH HHS R01 AG034154NIA NIH HHS R01AG034154NIDDK NIH HHS DK072381NIDDK NIH HHS DK39773NIDDK NIH HHS R01 DK039773NIDDK NIH HHS R01 DK072381NIDDK NIH HHS R37 DK039773NIEHS NIH HHS K99 ES016723
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a major public health problem, and despite continued research in the field, there is still a need to identify both biomarkers of risk and progression, as well as potential therapeutic targets. Structural equation modeling (SEM) is a family of statistical techniques that has been utilized in the fields of sociology and psychology for many years; however, its utilization in the biological sciences is relatively novel. SEM's ability to investigate complex relationships in an efficient, single model could be utilized to understand the progression of CKD, as well as to develop a predictive model to assess kidney status in the patient.

methodsFischer 344 rats were fed either an ad libitum diet or a calorically restricted diet, and a time-course study of kidney structure and function was performed. EQS, a SEM software package, was utilized to generate five CKD models of the Fisher 344 rat and identify relationships between measured variables and estimates of kidney damage and kidney function.

resultsAll models identified strong relationships between a biomarker for CKD, kidney injury molecule-1 (Kim-1) and kidney damage, in the Fischer 344 rat CKD model. Models also indicate a strong relationship between age and renal damage and dysfunction.

conclusionSEM can be used to model CKD and could be useful to examine biomarkers in CKD patients.

Indexed as

Models, StatisticalAge FactorsAnimalsBiomarkersBlood Urea NitrogenCell Adhesion MoleculesChronic DiseaseCreatinineKidneyKidney DiseasesMaleRatsRats, Inbred F344Single-Blind MethodBiomarkersCell Adhesion MoleculesCreatinineHavcr1 protein, rat

Identifiers

PMID22269876
PMCPMC3326283
OpenAlexW1967680456

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.