Evidence map›Paper›PMID 27102348›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2016

Reproducibility of the NEPTUNE descriptor-based scoring system on whole-slide images and histologic and ultrastructural digital images.

Laura Barisoni, Jonathan P Troost, Cynthia Nast, Serena Bagnasco, Carmen Avila-Casado, Jeffrey Hodgin, Matthew Palmer, Avi Rosenberg, Adil Gasim, Chrysta Liensziewski and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 65 citations in OpenAlex.

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  7. A novel agreement statistic using data on uncertainty in ratings.Journal of the Royal Statistical Society. Series C, Applied statistics · 2023
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  13. Quantification of Glomerular Structural Lesions: Associations With Clinical Outcomes and Transcriptomic Profiles in Nephrotic Syndrome.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
    Observational
  14. Mechanisms of podocyte injury and implications for diabetic nephropathy.Clinical science (London, England : 1979) · 2022
    Article
  15. Article
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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

21 authors at 12 institutions in 3 countries.

Laura BarisoniDepartment of Pathology, University of Miami, Miller School of Medicine, Miami, FL, USA.
Jonathan P TroostDepartment of Pediatrics, Division of Pediatric Nephrology, University of Michigan, Ann Arbor, MI, USA.
Cynthia NastDepartment of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Serena BagnascoDepartment of Pathology, Johns Hopkins University, Baltimore, MD, USA.
Carmen Avila-CasadoDepartment of Pathology, University of Toronto, Ontario, Canada, USA.
Jeffrey HodginDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.
Matthew PalmerDepartment of Pathology, University of Pennsylvania, Philadelphia, PA, USA.
Avi RosenbergLaboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.
Adil GasimDepartment of Pathology, University of North Carolina, Chapel Hill, NC, USA.
Chrysta LiensziewskiDepartment of Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA.
Lino MerlinoDepartment of Pathology, University of Miami, Miller School of Medicine, Miami, FL, USA.
Hui-Ping ChienDepartment of Pathology, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan.
Anthony ChangDepartment of Pathology, University of Chicago, Chicago, IL, USA.ORCID 0000-0002-6877-5510
Shane M MeehanDepartment of Pathology, Sharp Memorial Hospital, San Diego, CA, USA.
Joseph GautDepartment of Pathology, Washington University, St. Louis, MO, USA.
Peter SongBiostatistics Department, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Lawrence HolzmanDepartment of Medicine, Division of Nephrology, University of Pennsylvania, Philadelphia, PA, USA.
Debbie GibsonDepartment of Pediatrics, Division of Pediatric Nephrology, University of Michigan, Ann Arbor, MI, USA.
Matthias KretzlerDepartment of Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA.
Brenda W GillespieBiostatistics Department, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Stephen M HewittLaboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0001-8283-1788
University of Michigan · USNational Cancer Institute · USUniversity of Miami · USUniversity of Pennsylvania · USCedars-Sinai Medical Center · USJohns Hopkins University · USKeelung Chang Gung Memorial Hospital · TWSharp Memorial Hospital · USUniversity of Chicago · USUniversity of North Carolina at Chapel Hill · USUniversity of Toronto · CAWashington University in St. Louis · US

Funding

Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2009 to 2023
$20.3M
NIDDK NIH HHS U54 DK083912
6 · The paper itself

Abstract

The multicenter Nephrotic Syndrome Study Network (NEPTUNE) digital pathology scoring system employs a novel and comprehensive methodology to document pathologic features from whole-slide images, immunofluorescence and ultrastructural digital images. To estimate inter- and intra-reader concordance of this descriptor-based approach, data from 12 pathologists (eight NEPTUNE and four non-NEPTUNE) with experience from training to 30 years were collected. A descriptor reference manual was generated and a webinar-based protocol for consensus/cross-training implemented. Intra-reader concordance for 51 glomerular descriptors was evaluated on jpeg images by seven NEPTUNE pathologists scoring 131 glomeruli three times (Tests I, II, and III), each test following a consensus webinar review. Inter-reader concordance of glomerular descriptors was evaluated in 315 glomeruli by all pathologists; interstitial fibrosis and tubular atrophy (244 cases, whole-slide images) and four ultrastructural podocyte descriptors (178 cases, jpeg images) were evaluated once by six and five pathologists, respectively. Cohen's kappa for inter-reader concordance for 48/51 glomerular descriptors with sufficient observations was moderate (0.40<kappa≤0.60) for 17 and good (0.60<kappa≤0.80) for 8, for 52% with moderate or better kappas. Clustering of glomerular descriptors based on similar pathologic features improved concordance. Concordance was independent of years of experience, and increased with webinar cross-training. Excellent concordance was achieved for interstitial fibrosis and tubular atrophy. Moderate-to-excellent concordance was achieved for all ultrastructural podocyte descriptors, with good-to-excellent concordance for descriptors commonly used in clinical practice, foot process effacement, and microvillous transformation. NEPTUNE digital pathology scoring system enables novel morphologic profiling of renal structures. For all histologic and ultrastructural descriptors tested with sufficient observations, moderate-to-excellent concordance was seen for 31/54 (57%). Descriptors not sufficiently represented will require further testing. This study proffers the NEPTUNE digital pathology scoring system as a model for standardization of renal biopsy interpretation extendable outside the NEPTUNE consortium, enabling international collaborations.

Indexed as

Fluorescent Antibody TechniqueHumansKidneyKidney DiseasesReproducibility of Results

Identifiers

PMID27102348
PMCPMC5515468
OpenAlexW2341970233

What OpenQuestion holds

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Registered trials

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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.