Evidence map›Paper›PMID 15586648›Full record

ReviewJournal of the National Medical Association2004

Diabetic nephropathy--a review of the natural history, burden, risk factors and treatment.

Olugbenga E Ayodele, C Olutayo Alebiosu, Babatunde L Salako

Abstract readReview
In one paragraph

Review in Journal of the National Medical Association, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  15. High unmet treatment needs in patients with chronic kidney disease and type 2 diabetes: real-world evidence from a US claims database.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Olugbenga E AyodeleMedicine Department, Ladoke Akintola University of Technology, Osogbo, Nigeria.
C Olutayo Alebiosu
Babatunde L Salako

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The earliest clinical evidence of diabetic nephropathy is microalbuminuria. Progression from microalbuminuria to overt nephropathy occurs in 20-40% within a 10-year period with approximately 20% of these patients progressing to end-stage renal disease. End-stage renal disease develops in 50% of type-1 diabetes patients with overt nephropathy within 10 years and in more than 75% by 20 years in the absence of treatment. In type-2 diabetes, a greater proportion of patients have microalbuminuria and overt nephropathy at or shortly after diagnosis of diabetes. The incidence of diabetes is increasing worldwide, with subsequent increase in the incidence of diabetic nephropathy. The risk factors identified in the development of DN from longitudinal and cross-sectional studies include race, genetic susceptibility, hypertension, hyperglycemia, hyperfiltration, smoking, advanced age, male sex, and high-protein diet. Treatment interventions in diabetic nephropathy include glycemic control, treatment of hypertension, hyperlipidemia, cessation of smoking, protein restriction, and renal replacement therapy. Multifactorial approach includes combined therapy targeting hyperglycemia, hypertension, microalbuminuria, and dyslipidemia.

Indexed as

Age FactorsAlbuminuriaDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic NephropathiesHumansHyperglycemiaHyperlipidemiasHypertensionRisk FactorsSex FactorsTime Factors

Identifiers

PMID15586648
PMCPMC2568593

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.