Related Experiment Video
Updated: Feb 8, 2026

06:11
Anterior Cervical Discectomy and Fusion in the Ovine Model
Published on: October 5, 2009
13.3K
How confident can we be in the current guidelines for exiting cervical screening?
Patti E Gravitt1, Rebecca Landy2, Mark Schiffman3
1Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Preventive Medicine
|July 9, 2018
Summary
US guidelines suggest stopping cervical cancer screening at 65 for women with adequate negative results. However, evolving screening methods and HPV data necessitate re-evaluating this recommendation for older women.
Area of Science:
- Gynecology
- Public Health
- Epidemiology
Background:
- Current US guidelines advise against cervical cancer screening for women over 65 with adequate negative screening history.
- These recommendations were based on cytology alone and may not apply to newer screening strategies like HPV testing.
- Newer insights into HPV natural history and changing sexual behaviors impact risk assessment in older populations.
Purpose of the Study:
- Critically review evidence supporting current US cervical screening cessation guidelines for women over 65.
- Highlight practice changes and new epidemiological data on HPV and cervical cancer.
- Identify research priorities for evidence-based updates to screening guidelines.
Main Methods:
- Literature review and critical analysis of existing evidence.
- Examination of HPV epidemiology and cervical cancer natural history.
- Discussion of limitations in current screening definitions and risk prediction models.
Main Results:
- Existing guidelines may lack generalizability to modern screening methods (co-testing, primary HPV testing).
- Defining 'adequate negative screening' is challenging due to lack of empirical data and evolving risk factors.
- Extrapolating past risk data to current post-menopausal populations may be unreliable.
Conclusions:
- Caution is urged when applying past risk data to current older populations.
- Further research is needed to strengthen the evidence base for screening well-screened older women.
- Balancing screening benefits (cancer reduction) against harms (overscreening) requires updated metrics beyond colposcopy rates.
Related Concept Videos
Confidence Coefficient
10.7K
The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
10.7K
Confidence Intervals
10.8K
An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
A...
10.8K
Interpretation of Confidence Intervals
10.1K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
10.1K
Uncertainty: Confidence Intervals
11.7K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
11.7K
Confidence Interval for Estimating Population Mean
8.9K
A point estimate of the population mean is obtained from a single sample. Such a point estimate does not represent a population well because it needs to account for variability in the population. Single point estimate can also be biased despite the sample being selected randomly. Thus, a point estimate is often unreliable. A confidence interval is needed to reduce this unreliability.
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
8.9K
Guidelines for Writing Outcome
4.0K
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
4.0K

