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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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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...
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Longitudinal Studies01:26

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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...
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Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
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Related Experiment Video

Updated: Jan 6, 2026

Inducement and Evaluation of a Murine Model of Experimental Myopia
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Tracking myopia development through axial length progression: a retrospective longitudinal study.

Zhengyang Tao1, Jiao Wang2, Zongyue Lv1

  • 1Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, China.

Annals of Medicine
|October 1, 2025
PubMed
Summary
This summary is machine-generated.

This study developed a personalized prediction model for progressive myopia using axial length progression and AL/CR ratio. The model aids in selecting effective myopia control strategies for children.

Keywords:
Progressive myopiaaxial lengthlongitudinal studynomogram

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Area of Science:

  • Ophthalmology
  • Pediatric Ophthalmology
  • Biomedical Engineering

Background:

  • Current myopia progression prediction models lack personalization.
  • Accurate risk assessment is crucial for effective myopia management.

Purpose of the Study:

  • To evaluate the predictive value of axial length (AL) progression in myopia.
  • To develop a personalized prediction model for progressive myopia.

Main Methods:

  • Retrospective cohort study of 1697 Chinese students (6-14 years).
  • Longitudinal ocular biometric data analyzed over 18 months.
  • Nomogram model developed using baseline AL/CR and first-visit AL progression.

Main Results:

  • Baseline AL/CR and first-visit AL progression significantly predicted myopia risk.
  • The nomogram model demonstrated good predictive performance (AUC=0.785 training, 0.771 validation).
  • Model calibration was excellent with clinically useful thresholds.

Conclusions:

  • A personalized prediction model for progressive myopia was developed.
  • The model utilizes first-visit axial length progression and baseline AL/CR ratio.
  • This tool supports dynamic and reliable selection of myopia control interventions.