Evidence map›Paper›PMID 22432109›Full record

ArticleDiabetes care2012

Does diabetes care differ by type of chronic comorbidity?: An evaluation of the Piette and Kerr framework.

Sri Ram Pentakota, Mangala Rajan, B Graeme Fincke, Chin-Lin Tseng, Donald R Miller, Cindy L Christiansen, Eve A Kerr, Leonard M Pogach

Abstract read
In one paragraph

Article in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  13. Timings for HbADiabetic medicine : a journal of the British Diabetic Association · 2019
    Article
  14. Article
  15. Comorbidity Type and Health Care Costs in Type 2 Diabetes: A Retrospective Claims Database Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018
    Article
  16. Article
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  20. The impact of comorbid chronic conditions on quality of life in type 2 diabetes patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
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

8 authors.

Sri Ram PentakotaDepartment of Veterans Affairs, Center for Health Care Knowledge and Management, Veterans Affairs New Jersey Health Care System, East Orange, New Jersey, USA. sriram.pentakota@va.gov
Mangala Rajan
B Graeme Fincke
Chin-Lin Tseng
Donald R Miller
Cindy L Christiansen
Eve A Kerr
Leonard M Pogach

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
HSRD VA I01 HX000223NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

objectiveTo evaluate the relationship between diabetes care and types of comorbidity, classified by the degree to which their treatment is concordant with that for diabetes. RESEARCH DESIGN AND

methodsRetrospective cohort study (fiscal year [FY] 2001 to FY 2004) of 42,826 veterans with new-onset diabetes in FY 2003. Veterans were classified into five chronic comorbid illness groups (CCIGs): none, concordant only, discordant only, both concordant and discordant, and dominant. Five diabetes-related care measures were assessed in FY 2004 (guideline-consistent testing and treatment goals for HbA(1c) and LDL cholesterol and diabetes-related outpatient visits). Analyses included logistic regressions adjusting for age, race, sex, marital status, priority code, and interaction between CCIGs and visit frequency.

resultsOnly 20% of patients had no comorbidities. Mean number of visits per year ranged from 7.8 (no CCIG) to 17.5 (dominant CCIG). In unadjusted analyses, presence of any illness was associated with equivalent or better care. In the fully adjusted model, we found interaction between CCIG and visit frequency. When visits were <7 per year, the odds of meeting the goal of HbA(1c) <8% were similar in the concordant (odds ratio 0.96 [95% CI 0.83-1.11]) and lower in the discordant (0.90 [0.81-0.99]) groups compared with the no comorbidity group. Among patients with >24 visits per year, these odds were insignificant. Dominant CCIG was associated with substantially reduced care for glycemic control for all visit categories and for lipid management at all but the highest visit category.

conclusionsOur study indicates that diabetes care varies by types of comorbidity. Concordant illnesses result in similar or better care, regardless of visit frequency. Discordant illnesses are associated with diminished care: an effect that decreases as visit frequency increases.

Indexed as

AdultAgedBlood GlucoseCardiovascular DiseasesCholesterol, LDLChronic DiseaseCohort StudiesComorbidityDiabetes MellitusDiabetic AngiopathiesFemaleGlycated HemoglobinHealthcare DisparitiesHealth Services AccessibilityHumansLife ExpectancyBlood GlucoseCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID22432109
PMCPMC3357228

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.