Evidence map›Paper›PMID 32153796›Full record

ReviewLupus science & medicine2020

Prediction of prognosis and renal outcome in lupus nephritis.

Ioannis Parodis, Farah Tamirou, Frédéric A Houssiau

2 registry-linked trialsOpen access · goldAbstract readReview
In one paragraph

Review in Lupus science & medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 72 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 4 pooled it
11.1field-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.

NCT06228222 unknown statusnot on this mapstarted 2024, after this paper: background citation

Predictors of Remission and Renal Outcomes in Lupus Nephritis in Assuit University Hospitals.

TypeobservationalSponsorAssiut UniversityRan2024 to 2025Enrolled50ConditionsLupus Nephritis, Systemic Lupus ErythematosusArmsrenal biopsy
NCT07763834 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluation of Uromodulin as a Biomarker of Renal Histological Activity/ Chronicity Indices in Lupus Nephritis

TypeobservationalSponsorAssiut UniversityRan2026 to 2030Enrolled90ConditionsUromodulin, SLE
3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 4 syntheses or guidelines pooled it, 121 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

3 authors at 2 institutions in 2 countries.

Ioannis ParodisDivision of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-4875-5395
Farah TamirouPôle de Pathologies Rhumatismales Inflammatoires et Systémiques, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium.
Frédéric A HoussiauPôle de Pathologies Rhumatismales Inflammatoires et Systémiques, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium.
Cliniques Universitaires Saint-Luc · BEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lupus nephritis (LN) is a severe manifestation of SLE, characterised by subendothelial and/or subepithelial immune complex depositions in the afflicted kidney, resulting in extensive injury and nephron loss during the acute phase and eventually chronic irreversible damage and renal function impairment if not treated effectively. The therapeutic management of LN has improved during the last decades, but the imperative need for consensual outcome measures remains. In order to design trials with success potentiality, it is important to define clinically important short-term and long-term targets of therapeutic and non-therapeutic intervention. While it is known that early response to treatment is coupled with favourable renal outcomes, early predictors of renal function impairment are lacking. The information gleaned from kidney biopsies may provide important insights in this direction. Alas, baseline clinical and histopathological information has not been shown to be informative. By contrast, accumulating evidence of pronounced discrepancies between clinical and histopathological outcomes after the initial phase of immunosuppression has prompted investigations of the potential usefulness of per-protocol repeat kidney biopsies as an integral part of treatment evaluation, including patients showing adequate clinical response. This approach appears to have merit. Hopefully, clinical, molecular or genetic markers that reliably reflect kidney histopathology and portend the long-term prognosis will be identified. Novel non-invasive imaging methods and employment of the evolving artificial intelligence in pattern recognition may also be helpful towards these goals. The molecular and cellular characterisation of SLE and LN will hopefully result in novel therapeutic modalities, maybe new taxonomy perspectives, and ultimately personalised management.

Indexed as

Artificial IntelligenceBiomarkersBiopsyFemaleHumansImmunosuppression TherapyKidneyLupus Erythematosus, SystemicLupus NephritisMaleOutcome Assessment, Health CarePatient Outcome AssessmentPrognosisRenal InsufficiencyBiomarkerslupus nephritisoutcomes researchsystemic lupus erythematosus

Identifiers

PMID32153796
PMCPMC7046967
OpenAlexW3007939140

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.