Evidence map›Paper›PMID 28339906›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2018

Interstitial fibrosis scored on whole-slide digital imaging of kidney biopsies is a predictor of outcome in proteinuric glomerulopathies.

Laura H Mariani, Sebastian Martini, Laura Barisoni, Pietro A Canetta, Jonathan P Troost, Jeffrey B Hodgin, Matthew Palmer, Avi Z Rosenberg, Kevin V Lemley, Hui-Ping Chien and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

72 citing papers in PubMed, 113 citations in OpenAlex.

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12 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

17 authors at 9 institutions in 1 country.

Laura H MarianiUniversity of Michigan, Ann-Arbor, MI, USA.
Sebastian MartiniUniversity of Michigan, Ann-Arbor, MI, USA.
Laura BarisoniUniversity of Miami, Miami, FL, USA.
Pietro A CanettaColumbia University, New York, NY, USA.
Jonathan P TroostUniversity of Michigan, Ann-Arbor, MI, USA.
Jeffrey B HodginUniversity of Michigan, Ann-Arbor, MI, USA.
Matthew PalmerUniversity of Pennsylvania, Philadelphia, PA, USA.
Avi Z RosenbergJohns Hopkins University, Baltimore, MD, USA.
Kevin V LemleyChildren's Hospital, Los Angeles, CA, USA.
Hui-Ping ChienJohns Hopkins University, Baltimore, MD, USA.
Jarcy ZeeArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Abigail SmithArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Gerald B AppelColumbia University, New York, NY, USA.
Howard TrachtmanNew York University, New York, NY, USA.
Stephen M HewittNational Institutes of Health, Bethesda, MD, USA.
Matthias KretzlerUniversity of Michigan, Ann-Arbor, MI, USA.
Serena M BagnascoJohns Hopkins University, Baltimore, MD, USA.
University of Michigan–Ann Arbor · USJohns Hopkins University · USArbor Research Collaborative for Health · USColumbia University · USChildren's Hospital of Los Angeles · USNational Institutes of Health · USNew York University · USUniversity of Miami · USUniversity of Pennsylvania · US

Funding

Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GIPSON, DEBBIE S · 2009 to 2023
$20.3M
Experimental Pathology Laboratory (EPL)ZICBC011638 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HEWITT, STEPHEN · 2015 to 2025
$16.6M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROSIUS, FRANK C · 2008 to 2022
$12.9M
NIDDK NIH HHS P30 DK081943NIDDK NIH HHS U54 DK083912
6 · The paper itself

Abstract

Background: Interstitial fibrosis (IF), tubular atrophy (TA) and interstitial inflammation (II) are known determinants of progression of renal disease. Standardized quantification of these features could add value to current classification of glomerulopathies. Methods: We studied 315 participants in the Nephrotic Syndrome Study Network (NEPTUNE) study, including biopsy-proven minimal change disease (MCD = 98), focal segmental glomerulosclerosis (FSGS = 121), membranous nephropathy (MN = 59) and IgA nephropathy (IgAN = 37). Cortical IF, TA and II were quantified (%) on digitized whole-slide biopsy images, by five pathologists with high inter-reader agreement (intra-class correlation coefficient >0.8). Tubulointerstitial messenger RNA expression was measured in a subset of patients. Multivariable Cox proportional hazards models were fit to assess association of IF with the composite of 40% decline in estimated glomerular filtration rate (eGFR) and end-stage renal disease (ESRD) and separately as well, and with complete remission (CR) of proteinuria. Results: IF was highly correlated with TA (P < 0.001) and II (P < 0.001). Median IF varied by diagnosis: FSGS 17, IgAN 21, MN 7, MCD 1 (P < 0.001). IF was strongly correlated with baseline eGFR (P < 0.001) and proteinuria (P = 0.002). After adjusting for clinical pathologic diagnosis, age, race, global glomerulosclerosis, baseline proteinuria, eGFR and medications, each 10% increase in IF was associated with a hazard ratio of 1.29 (P < 0.03) for ESRD/40% eGFR decline, but was not significantly associated with CR. A total of 981 genes were significantly correlated with IF (|r| > 0.4, false discovery rate (FDR) < 0.01), including upstream regulators such as tumor necrosis factor, interferon gamma (IFN-gamma), and transforming growth factor beta 1 (TGF-B1), and signaling pathways for antigen presentation and hepatic fibrosis. Conclusions: The degree of IF is associated with risk of eGFR decline across different types of proteinuric glomerulopathy, correlates with inflammatory and fibrotic gene expression, and may have predictive value in assessing risk of progression.

Indexed as

AdultBiopsyDiagnostic ImagingDisease ProgressionFemaleFibrosisGlomerular Filtration RateGlomerulonephritisHumansMaleNephritis, InterstitialPathology, ClinicalPrognosisProteinuriaSurvival RateYoung Adultgene expressioninterstitial fibrosiskidney biopsyproteinuria

Identifiers

PMID28339906
PMCPMC5837529
OpenAlexW2610541426

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.