Evidence map›Paper›PMID 31098596›Full record

ArticleJournal of obesity and weight-loss medication2018

Microalbuminuria among Newly Diagnosed Diabetic Patients at Mulago National Referral Hospital in Uganda: A Cross Sectional Study.

Muddu Martin, Mutebi Edrisa, Isaac SSinabulya, Kizito Samuel, Mulindwa Frank, Mondo Charles Kiiza

Open access · diamondAbstract read
In one paragraph

Article in Journal of obesity and weight-loss medication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 42% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Prevalence of Microalbuminuria Among Diabetes Patients in Africa: A Systematic Review and Meta-Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
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

6 authors at 2 institutions in 1 country.

Muddu MartinDepartment of Medicine, Makerere University College of Health Sciences, Mulago Hospital Complex, Uganda.
Mutebi EdrisaDepartment of Medicine, Makerere University College of Health Sciences, Mulago Hospital Complex, Uganda.
Isaac SSinabulyaDepartment of Medicine, Makerere University College of Health Sciences, Mulago Hospital Complex, Uganda.
Kizito SamuelClinical Epidemiology Unit, Makerere University College of Health Sciences, Uganda.
Mulindwa FrankDepartment of Medicine, Makerere University College of Health Sciences, Mulago Hospital Complex, Uganda.
Mondo Charles KiizaDepartment of Medicine, Makerere University College of Health Sciences, Mulago Hospital Complex, Uganda.
Mulago Hospital · UGMakerere University · UG

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Linked; Building Capacity for Cardiovascular Research and Training in UgandaR24TW008861 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI SEWANKAMBO, NELSON K · 2010 to 2014
$2.5M
FIC NIH HHS D43 TW010540FIC NIH HHS R24 TW008861
6 · The paper itself

Abstract

backgroundMicroalbuminuria is an early marker of nephropathy, cardiovascular diseases and severe ocular morbidity in adults with diabetes mellitus. This subclinical condition is associated with high morbidity and mortality. Microalbuminuria precedes the development of overt diabetic nephropathy by 10-14 years. At this stage, one can reverse diabetic nephropathy or prevent its progression. Unfortunately, tests to detect microalbuminuria in diabetics are not routinely done in Uganda. This study sought to determine the prevalence and factors associated with microalbuminuria among newly diagnosed diabetic patients in the National Referral Hospital in Uganda.

methodsIn this cross-sectional study conducted between June 2014 and January 2015, we recruited 175 newly diagnosed adult diabetic patients. Information on patients' socio-demographics, biophysical profile, blood pressure measurement, biochemical testing and echocardiographic findings was obtained for all the participants using a pre-tested questionnaire. Microalbuminuria was defined as Albumin to Creatinine Ratio (ACR) between 30 and 299 mg/g. Bivariate and multivariate logistic regression analyses were used to investigate the association of several factors with microalbuminuria.

resultsOf the 175 patients recruited, males were 90 (51.4%) and the mean age was 46 ± 15 years. Majority of patients had type 2 DM 140 (80.0%) and the rest had type 1 DM 35 (20.0%). The mean HbA1C was 13.9 ± 5.3%. Mean duration of diabetes was 2 months. Prevalence of microalbuminuria was 47.4% (95% CI: 40.0%-54.9%) among all the patients that were assessed in the study. The independent factor associated with microalbuminuria was pregnancy (OR7.74[95% CI: 1.01-76.47] P = 0.050) while mild and moderate physical activity at work were inversely associated with microalbuminuria respectively (OR0.08[95% CI: 0.01-0.95] P = 0.046) and (OR0.07[95% CI: 0.01-0.77] P = 0.030).

conclusionsPrevalence of microalbuminuria was high in this patient population of newly diagnosed diabetes mellitus. Pregnancy was positively associated with significant microalbuminuria while physical activity at work was inversely associated with microalbuminuria. Early detection and management of microalbuminuria in asymptomatic individuals may help in preventing deterioration in renal function and development of overt diabetic nephropathy and progression to ESRD.

Identifiers

PMID31098596
PMCPMC6516080
OpenAlexW2891151220

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.