ArticleEndocrinology, diabetes & metabolism2023
Association between Pro-oxidant-Antioxidant balance and high-sensitivity C-reactive protein in type 2 diabetes mellitus: A Study on Postmenopausal Women.
Article in Endocrinology, diabetes & metabolism, 2023. 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, 4 citations in OpenAlex.
- Advances in the application of frailty scoring in the diagnosis and management of elderly patients with multiple myeloma (Review).Oncology reports · 2026Review
- Linking high-sensitivity C-reactive protein and dyslipidemia among patients with type 2 diabetes mellitus.Bioinformation · 2025Article
- Association between Pro-oxidant-Antioxidant balance and high-sensitivity C-reactive protein in type 2 diabetes mellitus: A Study on Postmenopausal Women.Endocrinology, diabetes & metabolism · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionOxidative stress known as a predictive marker for cardiovascular and metabolic diseases could be measured through pro-oxidant antioxidant balance (PAB). The present study aimed to evaluate PAB and its association with high-sensitivity C-reactive protein (hs-CRP) in the serum of postmenopausal women with diabetes mellitus.
methodsIn this case-control study, 99 diabetic and 100 healthy postmenopausal women without diabetes mellitus were recruited. Serum PAB values, hs-CRP, lipid profile, insulin, and vitamin D levels were measured. Moreover, insulin resistance (HOMA-IR, HOMA-β and QUICKI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body mass index (BMI) were calculated.
resultsSerum PAB, hs-CRP, insulin resistance, HOMA-β, QUICKI, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) levels were significantly higher in the postmenopausal women with diabetes mellitus, while there was no significant difference in the total cholesterol (TC), serum insulin, WC, WHR, WHtR and vitamin D levels between the groups. Pearson correlation coefficient showed that HDL-C and insulin levels were directly correlated with serum PAB. Also, there was a significant direct relationship between LDL-C and insulin levels and hs-CRP. There was no meaningful relationship between serum insulin and vitamin D levels and other assessed parameters. Backward logistic regression showed a positive relationship between diabetes mellitus and serum PAB and an inverse relationship with serum HDL levels.
conclusionsSerum PAB, hs-CRP concentration, and lipid profile were significantly different between postmenopausal women with and without diabetes mellitus. These differences may contribute to the development of coronary complications.
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.