Diabetic Kidney Disease: Evidence from Two Selected Cohorts of Patients from Low-Middle and High Income Countries Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.20944/preprints202507.2621.v1
Objectives: Diabetic kidney disease (DKD) is the leading cause of kidney failure worldwide. Different phenotypes of DKD are emerging, partially attributable to a better glycemic control, partially to concomitant risk factors for kidney disease. Diabetes belongs to Non-Communicable Diseases (NCD), but poor data about DKD in Low-Middle Income Countries are currently available. In the present paper we compare two cohorts of patients affected by DKD from Tanzania and from Italy. Study design: Retrospective observational study conducted by NCDs Clinic of Tosamaganga Regional Referral Hospital (Tanzania) and from the Multidisciplinary Diabetological-Nephrological Clinic of Bologna (Italy) Methods: Included patients’data were analyzed for demographical features, diabetes complications, laboratory findings and pharmacological therapy at the time of enrollment and after 6-month follow up. Results: Tanzanian patients were younger (56.65 vs 67.66 years, p< 0.001), with a higher prevalence of women (66.9% vs 25.5%, p< 0.001) and showed lower level of BMI (26.39 vs 30.18 kg/m2, p< 0.001). A worsen glycemic control could be observed in Tanzanian cohort (HbA1c 83.71 vs 56.92 mmol/mol, p< 0.001) and higher eGFR (70.13±31.93 vs 52.31±23.37 ml/min, p< 0.001). A sharp reduction of albuminuria was observed in both cohorts with an increase in nephroprotective drugs a better glycemic control. Conclusions: Two phenotypes of diabetic patients have emerged from comparison between two cohorts. Tanzanian patients are mostly female, younger and with normal BMI; whereas Italian patients are mainly male, older and affected by metabolic syndrome and vascular complications. Therapy implementation is associated with a delayed decline of eGFR and downgrading of albuminuria at 6 months follow up.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202507.2621.v1
- https://www.preprints.org/frontend/manuscript/b3ea62ebb98882b77fbf364f822ed242/download_pub
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412813931Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20944/preprints202507.2621.v1Digital Object Identifier
- Title
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Diabetic Kidney Disease: Evidence from Two Selected Cohorts of Patients from Low-Middle and High Income CountriesWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-07-31Full publication date if available
- Authors
-
Maria Mattiotti, Matteo Righini, Daniele Vetrano, Danilo Ribichini, Valentina Vicennati, Valeria Aiello, Ermanno Notaro, Paolo Belardi, Noemi Bazzanini, Katunzi Mutalemwa, Emmanuel Ndile, Rehema Itambu, Uberto Pagotto, Gaetano Azzimonti, Giuseppe Cianciolo, Irene Capelli, Gaetano La MannaList of authors in order
- Landing page
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https://doi.org/10.20944/preprints202507.2621.v1Publisher landing page
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https://www.preprints.org/frontend/manuscript/b3ea62ebb98882b77fbf364f822ed242/download_pubDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.preprints.org/frontend/manuscript/b3ea62ebb98882b77fbf364f822ed242/download_pubDirect OA link when available
- Concepts
-
Low and middle income countries, Medicine, Disease, Diabetes mellitus, Kidney disease, Internal medicine, Environmental health, Economics, Developing country, Endocrinology, Economic growthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.25.5%, | 138 |
| abstract_inverted_index.Clinic | 78, 90 |
| abstract_inverted_index.Income | 47 |
| abstract_inverted_index.Italy. | 69 |
| abstract_inverted_index.better | 23, 196 |
| abstract_inverted_index.cohort | 162 |
| abstract_inverted_index.follow | 117, 254 |
| abstract_inverted_index.higher | 132, 171 |
| abstract_inverted_index.kg/m2, | 150 |
| abstract_inverted_index.kidney | 2, 10, 32 |
| abstract_inverted_index.mainly | 226 |
| abstract_inverted_index.months | 253 |
| abstract_inverted_index.mostly | 215 |
| abstract_inverted_index.normal | 220 |
| abstract_inverted_index.showed | 142 |
| abstract_inverted_index.worsen | 154 |
| abstract_inverted_index.years, | 127 |
| abstract_inverted_index.(Italy) | 93 |
| abstract_inverted_index.0.001), | 129 |
| abstract_inverted_index.0.001). | 152, 178 |
| abstract_inverted_index.6-month | 116 |
| abstract_inverted_index.Bologna | 92 |
| abstract_inverted_index.Italian | 223 |
| abstract_inverted_index.Therapy | 237 |
| abstract_inverted_index.belongs | 35 |
| abstract_inverted_index.between | 209 |
| abstract_inverted_index.cohorts | 59, 188 |
| abstract_inverted_index.compare | 57 |
| abstract_inverted_index.control | 156 |
| abstract_inverted_index.decline | 244 |
| abstract_inverted_index.delayed | 243 |
| abstract_inverted_index.design: | 71 |
| abstract_inverted_index.disease | 3 |
| abstract_inverted_index.emerged | 206 |
| abstract_inverted_index.factors | 30 |
| abstract_inverted_index.failure | 11 |
| abstract_inverted_index.female, | 216 |
| abstract_inverted_index.leading | 7 |
| abstract_inverted_index.ml/min, | 176 |
| abstract_inverted_index.present | 54 |
| abstract_inverted_index.therapy | 108 |
| abstract_inverted_index.whereas | 222 |
| abstract_inverted_index.younger | 123, 217 |
| abstract_inverted_index.Diabetes | 34 |
| abstract_inverted_index.Diabetic | 1 |
| abstract_inverted_index.Diseases | 38 |
| abstract_inverted_index.Hospital | 83 |
| abstract_inverted_index.Included | 95 |
| abstract_inverted_index.Methods: | 94 |
| abstract_inverted_index.Referral | 82 |
| abstract_inverted_index.Regional | 81 |
| abstract_inverted_index.Results: | 119 |
| abstract_inverted_index.Tanzania | 66 |
| abstract_inverted_index.affected | 62, 230 |
| abstract_inverted_index.analyzed | 98 |
| abstract_inverted_index.cohorts. | 211 |
| abstract_inverted_index.control, | 25 |
| abstract_inverted_index.control. | 198 |
| abstract_inverted_index.diabetes | 102 |
| abstract_inverted_index.diabetic | 203 |
| abstract_inverted_index.disease. | 33 |
| abstract_inverted_index.findings | 105 |
| abstract_inverted_index.glycemic | 24, 155, 197 |
| abstract_inverted_index.increase | 191 |
| abstract_inverted_index.observed | 159, 185 |
| abstract_inverted_index.patients | 61, 121, 204, 213, 224 |
| abstract_inverted_index.syndrome | 233 |
| abstract_inverted_index.vascular | 235 |
| abstract_inverted_index.Countries | 48 |
| abstract_inverted_index.Different | 13 |
| abstract_inverted_index.Tanzanian | 120, 161, 212 |
| abstract_inverted_index.conducted | 75 |
| abstract_inverted_index.currently | 50 |
| abstract_inverted_index.emerging, | 18 |
| abstract_inverted_index.features, | 101 |
| abstract_inverted_index.metabolic | 232 |
| abstract_inverted_index.mmol/mol, | 167 |
| abstract_inverted_index.p&lt; | 128, 139, 151, 168, 177 |
| abstract_inverted_index.partially | 19, 26 |
| abstract_inverted_index.reduction | 181 |
| abstract_inverted_index.(Tanzania) | 84 |
| abstract_inverted_index.Low-Middle | 46 |
| abstract_inverted_index.associated | 240 |
| abstract_inverted_index.available. | 51 |
| abstract_inverted_index.comparison | 208 |
| abstract_inverted_index.enrollment | 113 |
| abstract_inverted_index.laboratory | 104 |
| abstract_inverted_index.phenotypes | 14, 201 |
| abstract_inverted_index.prevalence | 133 |
| abstract_inverted_index.worldwide. | 12 |
| abstract_inverted_index.Objectives: | 0 |
| abstract_inverted_index.Tosamaganga | 80 |
| abstract_inverted_index.albuminuria | 183, 250 |
| abstract_inverted_index.concomitant | 28 |
| abstract_inverted_index.downgrading | 248 |
| abstract_inverted_index.52.31±23.37 | 175 |
| abstract_inverted_index.Conclusions: | 199 |
| abstract_inverted_index.attributable | 20 |
| abstract_inverted_index.(70.13±31.93 | 173 |
| abstract_inverted_index.Retrospective | 72 |
| abstract_inverted_index.demographical | 100 |
| abstract_inverted_index.observational | 73 |
| abstract_inverted_index.complications, | 103 |
| abstract_inverted_index.complications. | 236 |
| abstract_inverted_index.implementation | 238 |
| abstract_inverted_index.patients’data | 96 |
| abstract_inverted_index.pharmacological | 107 |
| abstract_inverted_index.Non-Communicable | 37 |
| abstract_inverted_index.nephroprotective | 193 |
| abstract_inverted_index.Multidisciplinary | 88 |
| abstract_inverted_index.Diabetological-Nephrological | 89 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 17 |
| citation_normalized_percentile.value | 0.37338858 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |