Evidence map›Paper›PMID 36540764›Full record

ReviewInternational journal of general medicine2022

A Review on the Diagnosis and Treatment of Proliferative Glomerulonephritis with Monoclonal Immunoglobulin Deposits.

Li Lin, Nan Chen

Open access · goldAbstract readReview
In one paragraph

Review in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

12 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Contemporary Monoclonal Antibody Utilization in Glomerular Diseases.Mayo Clinic proceedings. Innovations, quality & outcomes · 2023
    Review
  12. 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

2 authors at 2 institutions in 1 country.

Li LinDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Nan ChenDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Ruijin Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proliferative glomerulonephritis with monoclonal immunoglobulin deposits (PGNMID) is a new entity of monoclonal gammopathy of renal significance (MGRS) due to monoclonal immunoglobulin (mIg) deposits in the glomerulus leading to kidney injury. Patients with PGNMID typically present with proteinuria, haematuria, and abnormal renal function. Only ~30% of patients have a detectable clone in the blood, urine or bone marrow. Histologically, the membranoproliferative glomerulonephritis (MPGN) pattern of injury is the most common, with approximately 50% of patients demonstrating IgG3κ monoclonal deposition in the glomerulus. Approximately 20% of PGNMID patients progress to end-stage kidney disease (ESΚD), and recurrence with renal allograft is frequent. Treatment of PGNMID relies on targeting identifiable B-cell or plasma cell clones. Due to the relatively short history of research on this disease and incomplete understanding, it is easy to misdiagnose and miss diagnosis, and there are also objections on how to treat it. Therefore, we review the development of PGNMID understanding in the past 20 years and discuss this new entity from a holistic and progressive perspective.

Indexed as

DARAMPGNPGNMIDRTXtreatment

Identifiers

PMID36540764
PMCPMC9760043
OpenAlexW4311317998

What OpenQuestion 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 OpenQuestion graph.