Predicting the development of diabetic retinopathy based on identification of rs759853 and rs9640883 in the AKR1B1 gene

Mogilevskyy, S.; Bushuieva, O.

doi:10.31288/oftalmolzh2017438

Cited by 3 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As for phase of prediction, 4 [12,17,41,42], 2 [11,45], 4 [30,43,44,46], 15 [13,15,16,18,[48][49][50][51][52][53][54][56][57][58][59] and 6 [14,24,55,60,62,63] studies were respectively determined as derived-internal-external (D/I/E), derived-external (D/E), external (E), derived-internal (D/I) and only derived (D) phases (Table S2). Amongst 8 [12,17,30,[41][42][43][44]46] external-validation studies, 5 [12,17,41,42,44] validated their own derived models in the same ethnicity (i.e.…”

Section: Diabetic Retinopathymentioning

confidence: 99%

“…A total number of included predictors in the conventional statistical models and MLs were not much different with a median of 8 (range 2-37). Interestingly, few studies used image/ signal analytic [56,58] and genetic variables [42,55,62], which were incorporated with conventional clinical data. Two [56,58] studies predicted specific DR site using multifocal electroretinogram incorporated with traditional clinical factors [56,58].…”

Section: Diabetic Retinopathymentioning

confidence: 99%

“…Three [42,55,62] studies derived genetic risk score (GRS) based on different genetic polymorphisms (range 2-76). Traditional prognostic factors (i.e.…”

Section: Diabetic Retinopathymentioning

confidence: 99%

“…Those prognostic equations had been externally validated with moderate to good performance (Table S4). Discrimination performance of logit equations varied from moderate to high with the C statistics of 0.70 [45,47,49,62] to 0.95 [58] and 0.63 [47] to 0.92 [58] in derived and internal validation; likewise, for support vector ML [17] in these corresponding phases of 0.83 and 0.81.…”

Section: Diabetic Retinopathymentioning

confidence: 99%

“…Pooled C statistics of the derived-logit models across cohorts [13,51,[56][57][58]61], cross-sectional [14,17,45,47,49,52,53] and case-control genetic [42,55,62] studies were 0.82 (0.73-0.92; I 2 = 99.47%), 0.77 (0.72-0.82; I 2 = 93.21%) and 0.74 (0.71-0.77; I 2 = 36.73%), respectively (Fig. 1).…”

Section: Diabetic Retinopathymentioning

confidence: 99%

See 4 more Smart Citations

Prognostic models of diabetic microvascular complications: a systematic review and meta-analysis

et al. 2021

View full text Add to dashboard Cite

Background Many prognostic models of diabetic microvascular complications have been developed, but their performances still varies. Therefore, we conducted a systematic review and meta-analysis to summarise the performances of the existing models. Methods Prognostic models of diabetic microvascular complications were retrieved from PubMed and Scopus up to 31 December 2020. Studies were selected, if they developed or internally/externally validated models of any microvascular complication in type 2 diabetes (T2D). Results In total, 71 studies were eligible, of which 32, 30 and 18 studies initially developed prognostic model for diabetic retinopathy (DR), chronic kidney disease (CKD) and end stage renal disease (ESRD) with the number of derived equations of 84, 96 and 51, respectively. Most models were derived-phases, some were internal and external validations. Common predictors were age, sex, HbA1c, diabetic duration, SBP and BMI. Traditional statistical models (i.e. Cox and logit regression) were mostly applied, otherwise machine learning. In cohorts, the discriminative performance in derived-logit was pooled with C statistics of 0.82 (0.73‑0.92) for DR and 0.78 (0.74‑0.83) for CKD. Pooled Cox regression yielded 0.75 (0.74‑0.77), 0.78 (0.74‑0.82) and 0.87 (0.84‑0.89) for DR, CKD and ESRD, respectively. External validation performances were sufficiently pooled with 0.81 (0.78‑0.83), 0.75 (0.67‑0.84) and 0.87 (0.85‑0.88) for DR, CKD and ESRD, respectively. Conclusions Several prognostic models were developed, but less were externally validated. A few studies derived the models by using appropriate methods and were satisfactory reported. More external validations and impact analyses are required before applying these models in clinical practice. Systematic review registration PROSPERO CRD42018105287

show abstract

Section: Diabetic Retinopathymentioning

confidence: 99%

Section: Diabetic Retinopathymentioning

confidence: 99%

“…Three [42,55,62] studies derived genetic risk score (GRS) based on different genetic polymorphisms (range 2-76). Traditional prognostic factors (i.e.…”

Section: Diabetic Retinopathymentioning

confidence: 99%

Section: Diabetic Retinopathymentioning

confidence: 99%

Section: Diabetic Retinopathymentioning

confidence: 99%

See 3 more Smart Citations

Prognostic models of diabetic microvascular complications: a systematic review and meta-analysis

et al. 2021

View full text Add to dashboard Cite

show abstract

Peculiarities of the Immune Status and New Possibilities for Its Correction in Patients With Nonproliferative Diabetic Retinopathy and Diabetes Mellitus

Vitovskaya

Taha

Бычкова

2018

VPBM

View full text Add to dashboard Cite

Prognostic Value of Immune Predictors of Diabetic Retinopathy Against the Background of the Metabolic Syndrome

Gorecha,

Sarakhman,

Lapovets

2024

ujlm

View full text Add to dashboard Cite

Global statistics of recentyear sindicate a rapidin creasein the in cidence of diabetesamong the population. In thisregard, diabetic retinopathy, the main complication of diabeteson the part of the organ of vision, occupiesone of the leading placesamong the knowncauses o freducedvision and blindness, and the number of cases of visionlossas a result of this complication main tains a steady trend of constant growth. But the most significant and widespreadcause of visionlossin diabetesis pathology of the retina (diabetic retinopathy). The refore, itisrelevantto study immunological predictors for the purpose of time lydiagnosis, prevention of complications and prevention of the development of this disease. Thus, itisclear from the abovethatvariou schemokines and the irreceptors play animportantrolein the pathogenesis of diabetes in humans. The ypartici patein the autoimmune processin the islets of Langerhans of the pancreas, starting from the earlylatenttothe clinical stage of the disease, directing the flow of variousantigen-dependent effector cells from the blood totheinsulitis, whichsecrete a spectrum of pro-inflammatory cytokines, whichlead stoapoptosis and necrosisof β-cells. Atthesametime, inthefuture, in the distantstages of the development of diabetes, chemokines canparticipatein the occurrence of inflammatory complications characteristic of this disease, especiall ymicro- and macro angiopathy: retino- and nephropathy, atherosclerosis and cardiovascular diseases. The existence of such scientific information and fur the study of this issue open upnew wayst ocreate methods of targeted immunotherapy and prevention of diabetes and itscomplications by specific blockade of certainlinks of immunemechanism sinwhich chemokines and their receptors participate.

show abstract

Predicting the development of diabetic retinopathy based on identification of rs759853 and rs9640883 in the AKR1B1 gene

Cited by 3 publications

References 0 publications

Prognostic models of diabetic microvascular complications: a systematic review and meta-analysis

Prognostic models of diabetic microvascular complications: a systematic review and meta-analysis

Peculiarities of the Immune Status and New Possibilities for Its Correction in Patients With Nonproliferative Diabetic Retinopathy and Diabetes Mellitus

Prognostic Value of Immune Predictors of Diabetic Retinopathy Against the Background of the Metabolic Syndrome

Contact Info

Product

Resources

About