Evidence map›Paper›PMID 37936470›Full record

ReviewCurrent diabetes reviews2024

Immunological Approaches in the Treatment of Diabetic Nephropathy.

Fatemeh Pour-Reza-Gholi, Sara Assadiasl

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Association of Janus kinase 1 and 2 expression with clinical indices in diabetic kidney disease.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2026
    Article
  2. Article
  3. Review
  4. Review
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.

Fatemeh Pour-Reza-GholiDepartment of Nephrology, Labbafinezhad Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-7534-8309
Sara AssadiaslMolecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-5244-3127
Shahid Beheshti University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has no definite treatment so far. In fact, a combination of metabolic, hemodynamic, and immunological factors are involved in the pathogenesis of DN; therefore, effective disease management requires a holistic approach to all predisposing contributors. Due to the recent findings about the role of inflammation in the initiation and progression of kidney injury in diabetic patients and considerable advances in immunotherapy methods, it might be useful to revise and reconsider the current knowledge of the potential of immunomodulation in preventing and attenuating DN. In this review, we have summarized the findings of add-on therapeutic methods that have concentrated on regulating inflammatory responses in diabetic nephropathy, including phosphodiesterase inhibitors, nuclear factor-kB inhibitors, Janus kinase inhibitors, chemokine inhibitors, anti-cytokine antibodies, cell therapy, and vaccination.

Indexed as

Diabetic NephropathiesImmunotherapyAnimalsHumansInflammationJanus Kinase InhibitorsPhosphodiesterase InhibitorsJanus Kinase InhibitorsPhosphodiesterase Inhibitorscell therapychemokineDiabetic nephropathiesimmunomodulationjanus kinase inhibitorsphosphodiesterase inhibitorsvaccination.

Identifiers

PMID37936470
OpenAlexW4388495193

What OpenQuestion holds

Textmetadata
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.