Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

3.3K
A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
3.3K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

4.0K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
4.0K
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

6.3K
A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
6.3K
Freezing Point Depression and Boiling Point Elevation03:12

Freezing Point Depression and Boiling Point Elevation

41.3K
Boiling Point Elevation
The boiling point of a liquid is the temperature at which its vapor pressure is equal to ambient atmospheric pressure. Since the vapor pressure of a solution is lowered due to the presence of nonvolatile solutes, it stands to reason that the solution’s boiling point will subsequently be increased. Vapor pressure increases with temperature, and so a solution will require a higher temperature than will pure solvent to achieve any given vapor pressure, including one...
41.3K
What is Population Genetics?01:25

What is Population Genetics?

65.0K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
65.0K
What are Populations and Communities?00:30

What are Populations and Communities?

38.0K
Overview
38.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

ADAR1 Controls Macrophage Scavenging and Lipid-Buffering Programs in Metabolic Tissues.

European journal of immunology·2026
Same author

Laparoscopic metabolic and bariatric surgery in patients with high body mass index-a nationwide registry-based cohort study.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery·2026
Same author

Weight loss independent outcomes in type 2 diabetes mellitus and other metabolic comorbidities after Roux-en-Y gastric bypass and sleeve gastrectomy.

International journal of obesity (2005)·2026
Same author

Metabolic and bariatric surgery among patients with social anxiety disorder, a matched cohort study.

PloS one·2026
Same author

Patient characteristics and perioperative outcomes in the Bypass Equipoise Sleeve Trial (BEST) compared to general metabolic bariatric practice in Sweden.

The British journal of surgery·2025
Same author

The effect of weight change on death and cardiovascular events after Roux-en-Y gastric bypass.

The British journal of surgery·2025

Related Experiment Video

Updated: Feb 14, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K

Poor Follow-up After Elevated Prostate-specific Antigen Tests: A Population-based Cohort Study.

Markus Aly1, Mark Clements2, Caroline E Weibull2

  • 1Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden; Department of Urology, Karolinska University Hospital Solna, Stockholm, Sweden.

European Urology Focus
|February 14, 2018
PubMed
Summary
This summary is machine-generated.

Many men with high prostate-specific antigen (PSA) levels do not receive timely follow-up testing, potentially delaying prostate cancer diagnosis. This poor follow-up impacts the effectiveness of opportunistic PSA testing compared to structured screening trials.

Keywords:
CancerCohort studyOpportunistic screeningPopulation basedProstateProstate biopsyProstate-specific antigen

More Related Videos

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.3K
Antigenic Liposomes for Generation of Disease-specific Antibodies
10:31

Antigenic Liposomes for Generation of Disease-specific Antibodies

Published on: October 25, 2018

12.9K

Related Experiment Videos

Last Updated: Feb 14, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.8K
Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.3K
Antigenic Liposomes for Generation of Disease-specific Antibodies
10:31

Antigenic Liposomes for Generation of Disease-specific Antibodies

Published on: October 25, 2018

12.9K

Area of Science:

  • Urology
  • Oncology
  • Public Health

Background:

  • Prostate-specific antigen (PSA) testing is common, but follow-up patterns after elevated results are poorly understood.
  • Inadequate follow-up of high PSA values may contribute to delayed prostate cancer diagnosis.

Purpose of the Study:

  • To estimate population-level follow-up probabilities after prostate cancer testing.
  • To analyze retesting, prostate biopsy, diagnosis, and mortality rates following initial PSA tests.

Main Methods:

  • A cohort study of men aged 50-79 in Stockholm (2003-2015) with no prior prostate cancer diagnosis.
  • Utilized Swedish national health and population registries.
  • Multistate Markov models were employed to calculate follow-up probabilities and confidence intervals.

Main Results:

  • Among men with PSA ≥10 ng/mL, 21.7% to 47.7% (depending on age group) had no further testing or only mildly elevated PSA (>3 ng/mL) within one year.
  • These follow-up patterns did not significantly change when stratifying by comorbidities.
  • Limitations include a lack of detailed patient medical chart data.

Conclusions:

  • A significant proportion of men with PSA ≥10 ng/mL do not receive appropriate follow-up within one year.
  • This lack of consistent follow-up may explain why opportunistic PSA testing is less effective in reducing prostate cancer mortality than screening trials.