ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2024
Comparison of complete blood count parameters in different severity of proteinuria among patients with type 2 diabetes mellitus.
Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Serum long noncoding RNA human plasmacytoma variant translocation 1 (PVT1) expression levels in Egyptians type 2 diabetic patients and its correlation with severity of diabetic nephropathy.BMC endocrine disorders · 2026Article
- Obesity indicators mediate the association between the aggregate index of systemic inflammation (AISI) and type 2 diabetes mellitus (T2DM).Lipids in health and disease · 2025Article
- Comparison of complete blood count parameters in different severity of proteinuria among patients with type 2 diabetes mellitus.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Proteinuria is a key indicator of kidney damage in diabetic nephropathy, and its severity correlates with the progression of the disease. In diabetic patients, it is crucial to identify reliable predictors for proteinuria and its severity for early detection and management of kidney damage. Materials and Methods: This cross-sectional study was conducted from November 16, 2022, to May 20, 2023, on patients with type 2 diabetes mellitus (T2DM) who were outpatients at clinics of Shahid Modarres Hospital, Tehran, Iran. Participants were categorized based on their level of proteinuria during 24-h as follows: group A1 (normal to mildly increased proteinuria), Group A2 (moderately increased proteinuria), and Group A3 (severely increased proteinuria). Then, complete blood cell count and other laboratory parameters, were compared between study groups. Results: In this cross-sectional study, 128 participants, including 53 (41.4%) men and 75 (58.6%) women with T2DM, were enrolled. The mean age of participants was 56.40 ± 13.31 years. Although there were no significant differences between cell count and parameters of three groups, a statistically significant difference was seen in neutrophil-to-lymphocyte ratio (NLR) (1.93 ± 0.76, 2.34 ± 0.93, and 2.73 ± 1.07 in A1, A2, and A3 groups, respectively; Conclusion: Overall, this study suggests that some routine laboratory parameters may be associated with proteinuria and its severity in patients with T2DM. NLR, in particular, showed this association in our study, promising future studies evaluating this association and whether it can help as a predictor or not.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.