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Related Concept Videos

Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...
Ethics in Research01:56

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
Confirmation Biases01:31

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Blind Procedures02:07

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which child was...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:

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Updated: Jun 5, 2026

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
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Published on: January 17, 2025

The ACCORD Study: the devil is in the details.

David Siegel, Arthur L M Swislocki

    Metabolic Syndrome and Related Disorders
    |December 21, 2010
    PubMed
    Summary

    The Action to Control Cardiovascular Risks in Diabetes (ACCORD) trial found intensive blood sugar, blood pressure, and lipid control did not significantly reduce cardiovascular events in type 2 diabetes patients compared to standard care.

    Area of Science:

    • Cardiology
    • Endocrinology
    • Clinical Trials

    Background:

    • Type 2 diabetes mellitus is a major risk factor for cardiovascular disease.
    • Managing blood sugar, blood pressure, and lipids are key strategies to reduce cardiovascular risks.
    • Previous studies suggested intensive control could lower cardiovascular event rates.

    Purpose of the Study:

    • To evaluate the effectiveness of intensive glycemic, lipid, and blood pressure control on major cardiovascular events in patients with type 2 diabetes.
    • To compare intensive treatment strategies against standard care in a large patient cohort.

    Main Methods:

    • The Action to Control Cardiovascular Risks in Diabetes (ACCORD) trial enrolled 10,251 patients with type 2 diabetes.
    • Patients were randomized to intensive or standard treatment arms for blood sugar, hypertension, and lipid management.

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  • Intensive therapy aimed for normal glycosylated hemoglobin (HbA1c), tight lipid control (fenofibrate + statin), and aggressive blood pressure control (systolic <120 mmHg).
  • Main Results:

    • Intensive glycemic control did not significantly reduce major cardiovascular events compared to standard therapy.
    • Adding fenofibrate to a statin for lipid management did not significantly reduce cardiovascular events.
    • Aggressive blood pressure control to a systolic goal of 120 mmHg did not significantly reduce major cardiovascular events.

    Conclusions:

    • Intensive management of blood sugar, hypertension, and lipids did not yield significant benefits in reducing major cardiovascular events for type 2 diabetes patients in the ACCORD trial.
    • The findings suggest that current intensive treatment strategies may not be sufficient or optimal for preventing cardiovascular complications in this population.
    • Further research is needed to understand the reasons for the lack of benefit and to explore alternative or refined therapeutic approaches.