Evidence map›Paper›PMID 30565149›Full record

ArticleJournal of general internal medicine2019

Assessing the Effect of Clinical Inertia on Diabetes Outcomes: a Modeling Approach.

Maria F Correa, Yan Li, Hye-Chung Kum, Mark A Lawley

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Maria F CorreaDepartment of Psychiatry, The University of Texas at Austin Dell Medical School, Austin, TX, USA.
Yan LiCenter for Health Innovation, The New York Academy of Medicine, New York, NY, USA. yli@nyam.org.
Hye-Chung KumDepartment of Health Policy and Management, Texas A&M University, College Station, TX, USA.
Mark A LawleyCenter for Remote Health Technologies and Systems, Texas A&M University, College Station, TX, USA.

Funding

Assessment of Policies through Prediction of Long-term Effects on Cardiovascular Disease Using Simulation (APPLE CDS)R01HL141427 · NHLBI · NEW YORK ACADEMY OF MEDICINE · PI LIU, BIAN, YI, STELLA S · 2018 to 2021
$3.5M
NHLBI NIH HHS R01 HL141427
6 · The paper itself

Abstract

backgroundThere are an increasing number of newer and better therapeutic options in the management of diabetes. However, a large proportion of diabetes patients still experience delays in intensification of treatment to achieve appropriate blood glucose targets-a phenomenon called clinical inertia. Despite the high prevalence of clinical inertia, previous research has not examined its long-term effects on diabetes-related health outcomes and mortality.

objectiveWe sought to examine the impact of clinical inertia on the incidence of diabetes-related complications and death. We also examined how the impact of clinical inertia would vary by the length of treatment delay and population characteristics.

designWe developed an agent-based model of diabetes and its complications. The model was parameterized and validated by data from health surveys, cohort studies, and trials. SUBJECTS: We studied a simulated cohort of patients with diabetes in San Antonio, TX. MAIN MEASURES: We examined 25-year incidences of diabetes-related complications, including retinopathy, neuropathy, nephropathy, and cardiovascular disease. KEY

resultsOne-year clinical inertia could increase the cumulative incidences of retinopathy, neuropathy, and nephropathy by 7%, 8%, and 18%, respectively. The effects of clinical inertia could be worse for populations who have a longer treatment delay, are aged 65 years or older, or are non-Hispanic whites.

conclusionClinical inertia could result in a substantial increase in the incidence of diabetes-related complications and mortality. A validated agent-based model can be used to study the long-term effect of clinical inertia and, thus, inform clinicians and policymakers to design effective interventions.

Indexed as

Disease ManagementModels, TheoreticalAdultAgedBlood GlucoseCohort StudiesDiabetes ComplicationsDiabetes MellitusFemaleHumansHypoglycemic AgentsIncidenceMaleMiddle AgedYoung AdultBlood GlucoseHypoglycemic Agentsagent-based modelingclinical inertiadiabetesdiabetes complications

Identifiers

PMID30565149
PMCPMC6420509

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.