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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Case Studies01:22

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...

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Related Experiment Video

Updated: Jun 20, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
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Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

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ACROSTUDY: the first 5 years.

Peter J Trainer1

  • 1Department of Endocrinology, Christie Hospital, Manchester, UK. peter.trainer@manchester.ac.uk

European Journal of Endocrinology
|August 18, 2009
PubMed
Summary

The ACROSTUDY registry shows pegvisomant therapy is generally safe, but less than 70% of patients achieved normal IGF1 levels. This may be due to suboptimal pegvisomant dosing strategies.

Area of Science:

  • Endocrinology
  • Pharmacovigilance
  • Acromegaly Treatment

Background:

  • Pegvisomant is a growth hormone receptor antagonist used to treat acromegaly.
  • Observational studies are crucial for assessing long-term safety and efficacy in real-world settings.

Purpose of the Study:

  • To evaluate the safety and efficacy of pegvisomant therapy in a large patient cohort.
  • To identify factors influencing treatment outcomes and adverse events.

Main Methods:

  • Observational registry (ACROSTUDY) collecting data from 792 patients treated with pegvisomant.
  • Analysis of patient demographics, treatment duration, dosing, IGF1 normalization, adverse events, and tumor size changes via MRI.

Main Results:

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  • Mean follow-up of 1.66 years; 2625 patient-years of pegvisomant treatment.
  • IGF1 normalization achieved in <70% of patients, with many on low doses (≤20 mg).
  • 56 serious adverse events reported (13 related to pegvisomant); common AEs include liver function abnormalities and injection site reactions. Tumor size changes varied, with decreases in 31 patients and increases in 22.
  • Conclusions:

    • Pegvisomant demonstrates a generally reassuring safety profile.
    • Suboptimal IGF1 normalization rates suggest potential issues with dose titration and require further investigation.