Paper · 42973604
An Italian Delphi consensus on the epidemiology, characteristics, and management of C3 glomerulopathy.
Biancone L and 4 others. Front Immunol, 2026.
11 sourcespapers-2026-11-12-0.1.0
Cite this record
ConductScience Library. An Italian Delphi consensus on the epidemiology, characteristics, and management of C3 glomerulopathy. Papers, record 42973604. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42973604
On this page
Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- An Italian Delphi consensus on the epidemiology, characteristics, and management of C3 glomerulopathy.
- Journal
- Front Immunol
- Year
- 2026
- Publication types
- Journal Article, Consensus Statement
- Revised in PubMed
- 2026-11-05
Source PubMed
Topics9
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Complement C3 | Major topic |
| Glomerulonephritis, Membranoproliferative | Major topic |
| Humans | |
| Italy | |
| Delphi Technique | |
| Male | |
| Female | |
| Consensus | |
| Middle Aged |
Source PubMed
Grants0
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
None in this release.
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References27
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
| Order | PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|---|
| 1 | 29,030,465 | Cluster Analysis Identifies Distinct Pathogenetic Patterns in C3 Glomerulopathies/Immune Complex-Mediated Membranoproliferative GN. | J Am Soc Nephrol | 2018 | https://conductscience.org/library/papers/29030465 | PubMed |
| 2 | 33,779,754 | Longitudinal change in proteinuria and kidney outcomes in C3 glomerulopathy. | Nephrol Dial Transplant | 2022 | https://conductscience.org/library/papers/33779754 | PubMed |
| 3 | 39,810,761 | Challenges in the Diagnosis and Management of Immune Complex-Mediated Membranoproliferative Glomerulonephritis and Complement 3 Glomerulopathy. | Kidney Int Rep | 2025 | https://conductscience.org/library/papers/39810761 | PubMed |
| 4 | 36,996,481 | Clinical Profiles and Patterns of Kidney Disease Progression in C3 Glomerulopathy. | Kidney360 | 2023 | https://conductscience.org/library/papers/36996481 | PubMed |
| 5 | 26,895,476 | Complement gene variants determine the risk of immunoglobulin-associated MPGN and C3 glomerulopathy and predict long-term renal outcome. | Mol Immunol | 2016 | https://conductscience.org/library/papers/26895476 | PubMed |
| 6 | 7,640,549 | Consensus methods for medical and health services research. | BMJ | 1995 | https://conductscience.org/library/papers/7640549 | PubMed |
| 7 | 38,492,578 | Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort. | Lancet | 2024 | https://conductscience.org/library/papers/38492578 | PubMed |
| 8 | 38,261,576 | ACCORD (ACcurate COnsensus Reporting Document): A reporting guideline for consensus methods in biomedicine developed via a modified Delphi. | PLoS Med | 2024 | https://conductscience.org/library/papers/38261576 | PubMed |
| 9 | 29,310,824 | C3 glomerulonephritis and dense deposit disease share a similar disease course in a large United States cohort of patients with C3 glomerulopathy. | Kidney Int | 2018 | https://conductscience.org/library/papers/29310824 | PubMed |
| 10 | 30,692,664 | C3 glomerulopathy - understanding a rare complement-driven renal disease. | Nat Rev Nephrol | 2019 | https://conductscience.org/library/papers/30692664 | PubMed |
1 to 10 of 27
See all 27 referencesCited by0
The papers in our copy of PubMed whose reference list names this one, newest first.
None in this release.
Genes0
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
None in this release.
Drugs0
The drugs whose trials, in the Pipelines release, list the paper.
None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
The date of each source this release read.
- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
For software
Read this paper from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/papers/v1/42973604
GET https://conductscience.org/api/papers/v1/42973604/references?page=2