ReviewBiosensors2022
Analytical Challenges in Diabetes Management: Towards Glycated Albumin Point-of-Care Detection.
Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 30 citations in OpenAlex.
- Review
- A Critical Review on Covalent Organic Frameworks as Emerging Electrocatalysts for Electrochemical Glucose Sensing.Chemistry, an Asian journal · 2026Review
- Glycation at the Crossroads of Disease Pathogenesis: Mechanistic Insights and Therapeutic Frontiers.Diseases (Basel, Switzerland) · 2026Review
- Glycated albumin as a diagnostic tool for diabetes mellitus in transfusion-dependent β-thalassemia patients.Endocrine · 2025Article
- Emerging phenotype: Maturity-onset diabetes of the young type 5 (MODY-5) - mechanisms, clinical spectrum, and unmet needs.Diabetology & metabolic syndrome · 2025Review
- Glycated Haemoglobin (HbAJournal of clinical medicine · 2024Review
- Facile biotic/abiotic sandwich detection system for the highly sensitive detection of human serum albumin and glycated albumin.Analytical and bioanalytical chemistry · 2024Article
- Glycated albumin levels are associated with adverse stroke outcomes in patients with acute ischemic stroke in China.Journal of diabetes · 2024Article
- Glycated albumin may have a complementary role to glycated hemoglobin in glucose monitoring in childhood acute leukemia.Annals of pediatric endocrinology & metabolism · 2024Article
- Advances in electrochemical biosensors employing carbon-based electrodes for detection of biomarkers in diabetes mellitus.ADMET & DMPK · 2024Review
- Review
- Review
- Review
- Editorial: Advanced Biosensing Technologies in Medical Applications.Biosensors · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes mellitus is a worldwide-spread chronic metabolic disease that occurs when the pancreas fails to produce enough insulin levels or when the body fails to effectively use the secreted pancreatic insulin, eventually resulting in hyperglycemia. Systematic glycemic control is the only procedure at our disposal to prevent diabetes long-term complications such as cardiovascular disorders, kidney diseases, nephropathy, neuropathy, and retinopathy. Glycated albumin (GA) has recently gained more and more attention as a control biomarker thanks to its shorter lifespan and wider reliability compared to glycated hemoglobin (HbA1c), currently the "gold standard" for diabetes screening and monitoring in clinics. Various techniques such as ion exchange, liquid or affinity-based chromatography and immunoassay can be employed to accurately measure GA levels in serum samples; nevertheless, due to the cost of the lab equipment and complexity of the procedures, these methods are not commonly available at clinical sites and are not suitable to home monitoring. The present review describes the most up-to-date advances in the field of glycemic control biomarkers, exploring in particular the GA with a special focus on the recent experimental analysis techniques, using enzymatic and affinity methods. Finally, analysis steps and fundamental reading technologies are integrated into a processing pipeline, paving the way for future point-of-care testing (POCT). In this view, we highlight how this setup might be employed outside a laboratory environment to reduce the time from measurement to clinical decision, and to provide diabetic patients with a brand-new set of tools for glycemic self-monitoring.
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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.