ArticleKidney international2022
Lupus nephritis transcriptomics across space and time.
Article in Kidney international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Construction and validation of a glycosylation-related diagnostic model and immune characterization in lupus nephritis.Clinical rheumatology · 2026Article
- Combined transcriptomics and proteomics analysis reveals mechanisms underlying refractory lupus nephritis in children.Clinical rheumatology · 2025Article
- Multi-Omics Research on Angina Pectoris: A Novel Perspective.Aging and disease · 2024Review
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
Current immunosuppression regimens for lupus nephritis are incompletely effective, placing patients at risk for poor long-term outcomes. This emphasizes the need to dissect pathogenic mechanisms in lupus nephritis, to inform the development of targeted therapies. In this issue of Kidney International, Parikh et al. performed transcriptomic analysis of pretreatment and posttreatment protocol kidney biopsies, segregated into glomerular and tubulointerstitial compartments, to identify candidate molecular pathways distinguishing treatment responders and nonresponders.
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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.