Evidence map›Paper›PMID 22449945›Full record

ReviewCurrent opinion in nephrology and hypertension2012

Renal interstitial fibrosis: mechanisms and evaluation.

Alton B Farris, Robert B Colvin

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Current opinion in nephrology and hypertension, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02417883 (Furosemide Stress Test as a Predictor of Tubular Atrophy and Interstitial Fibrosis in Patients With Chronic Kidney Disease), which is not on this map. Cited by 169 papers.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed
12.5field-weighted citation impact, top 1% 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.

NCT02417883 phase3unknown statusnot on this mapstarted 2015, after this paper: background citation

Furosemide Stress Test as a Predictor of Tubular Atrophy and Interstitial Fibrosis in Patients With Chronic Kidney Disease

TypeinterventionalSponsorInstituto Nacional de Cardiologia Ignacio ChavezRan2015 to 2017Enrolled100ConditionsChronic Kidney DiseaseArmsFurosemide
3 · Its place in the literature

Who cites it

169 citing papers in PubMed, 291 citations in OpenAlex.

  1. Dickkopf-3 (DKK3) in Urine Identifies Patients with Short-Term Risk of eGFR Loss.Journal of the American Society of Nephrology : JASN · 2018
    Trial
  2. Article
  3. Kidney Elastography in Adult Nephrology: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Doppler ultrasound for the evaluation of chronic renal allograft dysfunction.Quantitative imaging in medicine and surgery · 2026
    Article
  8. Review
  9. Long non-coding RNAMolecular therapy. Nucleic acids · 2025
    Review
  10. Review
  11. Serum Levels of NBiomedicines · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Terpenes in the management of chronic kidney disease.Naunyn-Schmiedeberg's archives of pharmacology · 2024
    Review
  20. Article

109 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Alton B FarrisDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia 30322, USA. abfarri@emory.edu
Robert B Colvin
Emory University · USHarvard University · US

Funding

Novel Therapies to Improve Renal and Cardiac Allograft OutcomesU01AI063623 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI CHANDRAKER, ANIL · 2004 to 2013
$30.9M
Genomics of Chronic Renal Allograft RejectionU01AI070107 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MURPHY, BARBARA T. · 2006 to 2012
$9.4M
Tolerance to Composite Islet-Kidney Transplants in Non-Human PrimatesU19AI102405 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI BENICHOU, GILLES A · 2012 to 2016
$7.7M
Novel Therapies for Chronic Renal Allograft Dysfunction in ChildrenU01AI077816 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI HARMON, WILLIAM E. · 2008 to 2012
$4.8M
NIAID NIH HHS U01 AI063623NIAID NIH HHS U01 AI070107NIAID NIH HHS U01-AI-070107NIAID NIH HHS U01 AI077816NIAID NIH HHS U01-AI-077816NIAID NIH HHS U01-AI-63623NIAID NIH HHS U19 AI102405
6 · The paper itself

Abstract

purpose of reviewTubulointerstitial injury in the kidney is complex, involving a number of independent and overlapping cellular and molecular pathways, with renal interstitial fibrosis and tubular atrophy (IFTA) as the final common pathway. Furthermore, there are multiple ways to assess IFTA. RECENT

findingsCells involved include tubular epithelial cells, fibroblasts, fibrocytes, myofibroblasts, monocyte/macrophages, and mast cells with complex and still incompletely characterized cell-molecular interactions. Molecular mediators involved are numerous and involve pathways such as transforming growth factor (TGF)-β, bone morphogenic protein (BMP), platelet-derived growth factor (PDGF), and hepatocyte growth factor (HGF). Recent genomic approaches have shed insight into some of these cellular and molecular pathways. Pathologic evaluation of IFTA is central in assessing the severity of chronic disease; however, there are a variety of methods used to assess IFTA. Most assessment of IFTA relies on pathologist assessment of special stains such as trichrome, Sirius Red, and collagen III immunohistochemistry. Visual pathologist assessment can be prone to intra and interobserver variability, but some methods employ computerized morphometery, without a clear consensus as to the best method. SUMMARY: IFTA results from on orchestration of cell types and molecular pathways. Opinions vary on the optimal qualitative and quantitative assessment of IFTA.

Indexed as

Kidney DiseasesKidney TubulesAnimalsAtrophyBiomarkersEpithelial-Mesenchymal TransitionFibrosisGenetic Predisposition to DiseaseHumansPhenotypePredictive Value of TestsPrognosisSeverity of Illness IndexSignal TransductionBiomarkers

Identifiers

PMID22449945
PMCPMC3354760
OpenAlexW19843932

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.