Evidence map›Paper›PMID 27711179›Full record

ArticlePloS one2016

Prevalence, Risk Factors, and Complications of Diabetes in the Kilimanjaro Region: A Population-Based Study from Tanzania.

John W Stanifer, Charles R Cleland, Gerald Jamberi Makuka, Joseph R Egger, Venance Maro, Honest Maro, Francis Karia, Uptal D Patel, Matthew J Burton, Heiko Philippin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 3 countries.

John W StaniferDivision of Nephrology, Department of Medicine, Duke University, Durham, North Carolina, United States of America.
Charles R ClelandEye Department, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Gerald Jamberi MakukaKilimanjaro Christian Medical University College, Moshi, Tanzania.
Joseph R EggerDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.
Venance MaroKilimanjaro Christian Medical University College, Moshi, Tanzania.
Honest MaroEye Department, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Francis KariaKilimanjaro Christian Medical University College, Moshi, Tanzania.
Uptal D PatelDivision of Nephrology, Department of Medicine, Duke University, Durham, North Carolina, United States of America.
Matthew J BurtonInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Heiko PhilippinEye Department, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.ORCID http://orcid.org/0000-0002-5380-6994
Kilimanjaro Christian Medical Centre · TZDuke University · USLondon School of Hygiene & Tropical Medicine · GB

Funding

Vanderbilt-Emory-Cornell-Duke Consortium for Global Health Fellows (VECDor)R25TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, VERMUND, STEN H. · 2012 to 2016
$6.3M
FIC NIH HHS R25 TW009337
6 · The paper itself

Abstract

backgroundIn sub-Saharan Africa, diabetes is a growing burden, yet little is known about its prevalence, risk factors, and complications. To address these gaps and help inform public health efforts aimed at prevention and treatment, we conducted a community-based study assessing diabetes epidemiology. METHODS AND

findingsWe conducted a stratified, cluster-designed, serial cross-sectional household study from 2014-2015 in the Kilimanjaro Region, Tanzania. We used a three-stage cluster probability sampling method to randomly select individuals. To estimate prevalence, we screened individuals for glucose impairment, including diabetes, using hemoglobin A1C. We also screened for hypertension and obesity, and to assess for potential complications, individuals with diabetes were assessed for retinopathy, neuropathy, and nephropathy. We enrolled 481 adults from 346 urban and rural households. The prevalence of glucose impairment was 21.7% (95% CI 15.2-29.8), which included diabetes (5.7%; 95% CI 3.37-9.47) and glucose impairment with increased risk for diabetes (16.0%; 95% CI 10.2-24.0). Overweight or obesity status had an independent prevalence risk ratio for glucose impairment (2.16; 95% CI 1.39-3.36). Diabetes awareness was low (35.6%), and few individuals with diabetes were receiving biomedical treatment (33.3%). Diabetes-associated complications were common (50.2%; 95% CI 33.7-66.7), including renal (12.0%; 95% CI 4.7-27.3), ophthalmic (49.6%; 95% CI 28.6-70.7), and neurological (28.8%; 95% CI 8.0-65.1) abnormalities.

conclusionsIn a northern region of Tanzania, diabetes is an under-recognized health condition, despite the fact that many people either have diabetes or are at increased risk for developing diabetes. Most individuals were undiagnosed or untreated, and the prevalence of diabetes-associated complications was high. Public health efforts in this region will need to focus on reducing modifiable risk factors, which appear to include obesity, as well as early detection that includes increasing awareness. These findings highlight a growing urgency of diabetes prevention in this region as well as the need for treatment, including management of complications.

Indexed as

AdolescentAdultAgedBody Mass IndexCross-Sectional StudiesDiabetes MellitusFemaleGlycated HemoglobinHumansHypertensionMaleMiddle AgedObesityOverweightPrevalenceRenal Insufficiency, ChronicGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID27711179
PMCPMC5053499
OpenAlexW2529103478

What OpenQuestion holds

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LicenceCC BY
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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.