Evidence map›Paper›PMID 26581344›Full record

ReviewNature reviews. Rheumatology2016

What is damaging the kidney in lupus nephritis?

Anne Davidson

Abstract readReview
In one paragraph

Review in Nature reviews. Rheumatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
191citing papers in PubMed, 4 pooled it
13.9field-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.

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

191 citing papers in PubMed, 4 syntheses or guidelines pooled it, 303 citations in OpenAlex.

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131 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

1 author at 1 institution in 1 country.

Anne DavidsonCentre for Autoimmunity &Musculoskeletal Diseases, Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York 11030, USA.
Feinstein Institute for Medical Research · US

Funding

Targeting renal inflammatory pathways of SLE nephritis in mouse and manR01DK085241 · NIDDK · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DAVIDSON, ANNE · 2010 to 2013
$2.2M
Mechanisms of therapeutic efficacy of BAFF inhibition using belimumabR01AR064811 · NIAMS · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DAVIDSON, ANNE · 2014 to 2018
$2.2M
NIAMS NIH HHS R01 AR064811NIDDK NIH HHS R01 DK085241NIDDK NIH HHS R01 DK085241‑01
6 · The paper itself

Abstract

Despite marked improvements in the survival of patients with severe lupus nephritis over the past 50 years, the rate of complete clinical remission after immune suppression therapy is <50% and renal impairment still occurs in 40% of affected patients. An appreciation of the factors that lead to the development of chronic kidney disease following acute or subacute renal injury in patients with systemic lupus erythematosus is beginning to emerge. Processes that contribute to end-stage renal injury include continuing inflammation, activation of intrinsic renal cells, cell stress and hypoxia, metabolic abnormalities, aberrant tissue repair and tissue fibrosis. A deeper understanding of these processes is leading to the development of novel or adjunctive therapies that could protect the kidney from the secondary non-immune consequences of acute injury. Approaches based on a molecular-proteomic-lipidomic classification of disease should yield new information about the functional basis of disease heterogeneity so that the most effective and least toxic treatment regimens can be formulated for individual patients.

Indexed as

AnimalsHumansKidney Failure, ChronicLupus Erythematosus, SystemicLupus Nephritis

Identifiers

PMID26581344
PMCPMC4820834
OpenAlexW2272550089

What OpenQuestion holds

Textmetadata
LicenceTDM
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.