Evidence map›Paper›PMID 25932067›Full record

ArticleThe Pan African medical journal2014

Glycaemic control in diabetic patients in Zambia.

Emmanuel Mwila Musenge, Alexey Manankov, Boyd Mudenda, Charles Michelo

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Emmanuel Mwila MusengeDepartment of Physiological Sciences, School of Medicine, University of Zambia, Lusaka, Zambia.
Alexey ManankovDepartment of Physiological Sciences, School of Medicine, University of Zambia, Lusaka, Zambia.
Boyd MudendaDepartment of Public Health, Section for Epidemiology and Biostatistics, School of Medicine, University of Zambia, Lusaka, Zambia.
Charles MicheloDepartment of Public Health, Section for Epidemiology and Biostatistics, School of Medicine, University of Zambia, Lusaka, Zambia.
University of Zambia · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe glycaemic control status of diabetic patients affects the management of their disorder. We examined the glycaemic control and clinical factors that may influence the achievement of the glycaemic control targets among diabetic out-patients.

methodsThis was a hospital based cross-sectional study carried out at the University Teaching Hospital diabetic clinic in Lusaka, Zambia. A simple random sample of 198 consenting participants was selected from diabetic out-patients between September and December 2013. A structured interview schedule was used to capture socio-demographic data as well as needed clinical data from clients' medical records and laboratory results. Multivariate binary logistic regression analysis was carried out to examine factors that may be associated with the glycaemic control status of these diabetic patients.

resultsOverall (n = 198), mean (SD) age was 53.19 ± 13.32 years. Majority (61.3%) of the patients had poor glycaemic control status (HbA1c ≥ 49 mmol/mol). Insulin treatment (OR 0.13, 95% CI: 0.01 - 1.41), systolic blood pressure (OR 1.04, CI: 1.00 - 1.08) and fasting plasma glucose (previous; OR 0.81, CI: 0.72 - 0.90 and current; OR 0.85, CI: 0.78 - 0.93) were statistically significantly associated with glycaemic control. The poor glycaemic control observed in this study is similar to that reported in other published studies.

conclusionWe found evidence of poor glycaemic control in the study population suggesting need to explore the reasons for this. Association of Insulin, systolic blood pressure and fasting plasma glucose with glycaemic control further suggests the efficiency of traditional basic monitoring parameters which should be exploited in sharpening primary preventive strategies especially those that support lifestyle modification. Such efforts should also be integrated in all information, education and communication strategies that target but not limited to hospital based patients too.

Indexed as

AdultAgedBlood GlucoseCross-Sectional StudiesDiabetes MellitusFemaleHealth StatusHumansMaleMiddle AgedZambiaBlood GlucoseDiabetes mellitusfasting plasma glucoseglycaemic control statusglycosylated haemoglobinZambia

Identifiers

PMID25932067
PMCPMC4407937
OpenAlexW2138832936

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.