Evidence map›Paper›PMID 39717256›Full record

ReviewAdvanced biomedical research2024

Early Detection of Diabetic Nephropathy Based on Urinary and Serum Biomarkers: An Updated Systematic Review.

Farzaneh Karimi, Mostafa Moazamfard, Rasul Taghvaeefar, Shahla Sohrabipour, Aghdas Dehghani, Reza Azizi, Negar Dinarvand

Abstract readReview
In one paragraph

Review in Advanced biomedical research, 2024. 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
–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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

7 authors.

Farzaneh KarimiDepartment of Physiology, Behbahan Faculty of Medical Sciences, Behbahan, Iran.
Mostafa MoazamfardInstructor of Operating Room, Behbahan Faculty of Medical Sciences, Behbahan, Iran.
Rasul TaghvaeefarBehbahan Faculty of Medical Sciences, Behbahan, Iran.
Shahla SohrabipourEndocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Aghdas DehghaniEndocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Reza AziziDepartment of Laboratory Sciences, Khomein University of Medical Sciences, Khomein, Iran.
Negar DinarvandHyperlipidemia Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is a leading cause of chronic kidney disease (CKD) and end-stage renal disease worldwide, particularly among individuals with type 2 diabetes mellitus (T2DM). Early detection and intervention are crucial in slowing the progression of DN and improving patient outcomes. Traditional diagnostic methods, such as the measurement of albuminuria and serum creatinine, often fail to detect early renal damage because structural kidney damage may occur before albumin excretion. This systematic review aims to evaluate the diagnostic value of various urinary and serum biomarkers in the early detection of DN in patients with T2DM. A comprehensive literature search was conducted using databases such as PubMed, Scopus, and Web of Science. We only considered studies involving human populations for inclusion in our analysis. Animal and

Indexed as

Biomarkersdiabetesdiabetic nephropathyreview

Identifiers

PMID39717256
PMCPMC11665175

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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.