Evidence map›Paper›PMID 28612242›Full record

ReviewClinical rheumatology2017

Histopathologic classification of anti-neutrophil cytoplasmic antibody-associated glomerulonephritis: achievements, limitations, and perspectives.

Andrea Hinojosa-Azaola, Ariadna Jiménez-González

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  5. Observational
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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

2 authors.

Andrea Hinojosa-AzaolaDepartment of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga No. 15, Col. Sección XVI, Tlalpan, 14000, Mexico City, Mexico. andreaha@yahoo.com.
Ariadna Jiménez-GonzálezDepartment of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga No. 15, Col. Sección XVI, Tlalpan, 14000, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical and histological factors have been identified as predictors of early and late renal outcome in ANCA-associated vasculitides (AAV). The presence and severity of kidney involvement at diagnosis are associated with poor prognosis in both patient and renal survival. Histologic findings remain the gold standard for diagnosing patients with AAV. In order to quantify the extent of the morphological parameters in the renal biopsies and to identify the histopathological lesions that predict renal outcome, several scoring systems have been proposed to systematically assess kidney biopsies in AAV. Renal pathologists from an international working group proposed in 2010 a new histopathological classification. This scheme comprises four general categories, based on the predominance of the glomerular histological lesions: focal (≥50% normal glomeruli); crescentic (≥50% glomeruli with cellular crescents); mixed (<50% normal, <50% crescentic, <50% globally sclerotic glomeruli), and sclerotic (≥50% globally sclerotic glomeruli). This article reviews the background and the main studies that have validated the histopathologic classification of ANCA-associated glomerulonephritis, the conclusions derived from these studies, and the perspectives for the assessment of renal outcome in AAV.

Indexed as

Antibodies, Antineutrophil CytoplasmicAnti-Neutrophil Cytoplasmic Antibody-Associated VasculitisGlomerulonephritisHumansKidneyAntibodies, Antineutrophil CytoplasmicANCAGlomerulonephritisHistological classificationRenal pathologyVasculitis

Identifiers

What OpenQuestion holds

Textmetadata
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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.