Evidence map›Paper›PMID 32127857›Full record

ArticleAfrican health sciences2019

Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria.

Innocent Chidi Anioke, Azubike Nnamdi Ezedigboh, Ogechukwu Calista Dozie-Nwakile, Ikechukwu Johnpaul Chukwu, Peculiar Ngozi Kalu

Open access · hybridAbstract read
In one paragraph

Article in African health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
0.5field-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

16 citing papers in PubMed, 5 syntheses or guidelines pooled it, 42 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

5 authors at 1 institution in 1 country.

Innocent Chidi AniokeClinical Chemistry Unit; Department of Medical Laboratory Sciences, Faculty of Health Sciences and Technology, College of Medicine, University of Nigeria Enugu Campus, Nigeria.
Azubike Nnamdi EzedigbohChemical pathology Unit; Department of Medical Laboratory Services, University of Nigeria Teaching Hospital Ituku/Ozolla Enugu, Nigeria.
Ogechukwu Calista Dozie-NwakileMedical Laboratory Microbiology Unit; Department of Medical Laboratory Sciences, Faculty of Health Sciences and Technology, College of Medicine, University of Nigeria Enugu Campus, Nigeria.
Ikechukwu Johnpaul ChukwuClinical Chemistry Unit; Department of Medical Laboratory Sciences, Faculty of Health Sciences and Technology, College of Medicine, University of Nigeria Enugu Campus, Nigeria.
Peculiar Ngozi KaluDepartment of Chemical Pathology, College of Medicine, Nnamdi Azikiwe University, Nnewi, Nigeria.
Nnamdi Azikiwe University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study investigated predictors of poor glycemic control in type 2 diabetes (T2DM).

methodsData on demographics, anthropometric and clinical parameters were collected in a cross-section survey from 140 adults with T2DM, using standard tools/instruments. Glycated hemoglobin (A1C) was assessed as a measure of glycemic control.

resultsMajority (83.3%) had poor glycemic control status of which about 95% constitute the elderly. The elderly (OR= 5.90, 95% Cl: 1.66-20.96) were more likely associated with poor glycemic control than the non-elderly (p = 0.006). Adjustment for significant predictor variables: Age, waist-hip ratio (WHR), Fasting plasma glucose (FPG) and Systolic blood pressure (SBP), although attenuated the odds (OR= 5.00, 95% CI: 1.19-20.96) of poor glycemic control, it still remained significantly (p = 0.028) higher in the elderly. Patients outside tight FPG control significantly (p = 0.001) showed poor glycemic cotrol than those within tight FPG (OR= 17.39, 95%Cl: 5.83-51.90), even with attenuated OR (OR= 10.85, 95%Cl: 3.10-37.96) and (OR=12.08, 95%Cl: 3.64-40.09) when non-significant and significant predictor variables were accounted for, respectively.

conclusionAge, WHR, FPG, and SBP were significantly associated with differences in glycemic control. The elderly and FPG outside tight control showed significantly increased odds of poor glycemic control status.

Indexed as

AdultAgedBlood GlucoseCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHyperglycemiaMaleMiddle AgedNigeriaWaist-Hip RatioBlood GlucoseGlycated HemoglobinA1CElderlyFasting plasma glucoseglycemic control predictorsglycemic control statusType 2 Diabetes Mellitus

Identifiers

PMID32127857
PMCPMC7040317
OpenAlexW2999822729

What OpenQuestion holds

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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.