Evidence map›Paper›PMID 39802155›Full record

ReviewJournal of inflammation research2024

Advances in the Assessment and Treatment of Anti-Neutrophil Cytoplasmic Antibody-Associated Glomerulonephritis.

Anqi Ni, Ying Xu, Jianghua Chen, Fei Han

Abstract readReview
In one paragraph

Review in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

4 authors.

Anqi NiKidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Ying XuKidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Jianghua ChenKidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Fei HanKidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.ORCID 0000-0001-5363-7556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a group of autoimmune diseases primarily cause inflammation of small blood vessels. Renal involvement occurs frequently and often leads to end-stage renal disease (ESRD), which significantly impacts patient health and survival. Early diagnosis and appropriate treatment are essential to improving patient outcomes. This review provides an overview of the latest advances in the assessment and treatment of ANCA-associated glomerulonephritis (AAGN). The assessment section covers diagnostic tools, disease activity assessment, and risk stratification, with the introduction of the latest ANCA kidney risk score (AKRiS), which aids in identifying high-risk patients and facilitates personalized treatment strategies. The treatment section discusses induction and maintenance therapy, including immunosuppressive agents and emerging therapies. Recent advances have moved treatment away from reliance on cytotoxic agents, focusing on targeted biological therapies to induce and maintain disease remission, while prioritizing the reduction of corticosteroid toxicity. Overall, these advancements have greatly improved patient outcomes and provided new avenues for personalized management of AAGN.

Indexed as

anti-neutrophil cytoplasmic antibodyassessmentkidneytreatmentvasculitis

Identifiers

PMID39802155
PMCPMC11725264

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.