Evidence map›Paper›PMID 27011945›Full record

ArticleNorth American journal of medical sciences2016

Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus.

Satyajeet Roy, Anthony Sherman, Mary Joan Monari-Sparks, Olga Schweiker, Navjot Jain, Etty Sims, Michelle Breda, Gita P Byraiah, Ryan George Belecanech, Michael Domenic Coletta and 3 more

Abstract read
In one paragraph

Article in North American journal of medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Review
  2. Real-World Treatment Patterns Among Patients with Type 2 Diabetes Mellitus Initiating Treatment with Oral Semaglutide.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Article
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  4. Article
  5. Article
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  10. 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

13 authors.

Satyajeet RoyDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Anthony ShermanDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Mary Joan Monari-SparksDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Olga SchweikerDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Navjot JainDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Etty SimsDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Michelle BredaDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Gita P ByraiahDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Ryan George BelecanechDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Michael Domenic ColettaDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Cristian Javier BarriosDepartment of Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Krystal HunterDepartment of Biostatistics, Cooper Research Institute, Cooper Medical School of Rowan University, Camden, New Jersey, USA.
John P GaughanDepartment of Biostatistics, Cooper Research Institute, Cooper Medical School of Rowan University, Camden, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a poorly controlled epidemic worldwide that demands active research into mitigation of the factors that are associated with poor control.

aimsThe study was to determine the factors associated with suboptimal glycemic control. MATERIALS AND

methodsElectronic medical records of 263 adult patients with T2DM in our suburban internal medicine office were reviewed. Patients were divided into two groups: Group 1 [optimal diabetes control with glycosylated hemoglobin (HbA1c) of 7% or less] and Group 2 (suboptimal diabetes control with HbA1c greater than 7%). The influence of factors such as age, gender, race, social history, comorbid conditions, gestational diabetes, family history of diabetes, diabetes management, statin use, aspirin use, angiotensin convertase enzyme inhibitor (ACE-I) or angiotensin receptor blocker (ARB) use, body mass index (BMI), blood pressures, lipid profile, and urine microalbumin level were analyzed in the two groups.

resultsIn the suboptimal diabetes control group (N = 119), the majority (86.6%) of the patients were 41-80 years old. Factors associated with the suboptimal control were male gender [odds ratio (OR) 2.6, 95% confidence interval (CI), 1.579-4.321], Asian ethnicity (OR 1.4, 95% CI, 0.683-3.008), history of peripheral arterial disease (PAD; OR 3.9, 95% CI, 1.017-14.543), history of congestive heart failure (CHF; OR 3.9, 95% CI, 1.017-14.543), elevated triglycerides (OR 1.004, 95% CI, 1.000-1.007), and elevated urine microalbumin level of 30 mg/24 h or above (OR 4.5, 95% CI, 2.446-8.380). Patients with suboptimal diabetes control had a 3.8 times greater odds (95% CI, 1.493-6.885) of receiving the insulin and oral hypoglycemic agent together.

conclusionsIn adult patients with T2DM, male gender, Asian ethnicity, CHF, PAD, management with insulin along with oral hypoglycemic agents, hypertriglyceridemia, and microalbuminuria were associated with suboptimal control.

Indexed as

Asian ethnicitycongestive heart failure (CHF)hypertriglyceridemiamale gendermicroalbuminuriaperipheral arterial disease (PAD)suboptimal control of type 2 diabetestype 2 diabetes mellitus (T2DM)

Identifiers

PMID27011945
PMCPMC4784181

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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.