2.50
Hdl Handle:
http://hdl.handle.net/10541/98816
Title:
Assessing the effectiveness of cervical screening.
Authors:
Wilson, S; Woodman, Ciaran B J
Abstract:
The mathematic models used to assess the benefits and cost-effectiveness of cervical screening reveal little consistency in the definition of disease status, the basic assumptions made, or the data used in the model. Conclusions derived from the models often are model and data dependent. Several authors have used simplified models and unrealistic assumptions, such as the failure to differentiate between different grades of dysplasia, or 100% sensitivity for the screening test. The Markov process assumes that the rate of transfer between states is independent of the duration of time spent in one state, and this assumption may be unsound. The difficulty with all models is in interpreting the appropriateness of the parameter values. Some are well documented, for example, stage-specific survival rates for treated patients or attendance for screening. Many, however, cannot be given a fixed value. The large number of factors that appear implicated in the incidence of and mortality from cervical cancer can lead to many feasible sets of parameter values that generate output that approaches the observed data.
Affiliation:
Centre for Cancer Epidemiology, Christie Hospital NHS Trust, Withington, Manchester, United Kingdom.
Citation:
Assessing the effectiveness of cervical screening. 1995, 38 (3):577-84 Clin Obstet Gynecol
Journal:
Clinical Obstetrics and Gynecology
Issue Date:
Sep-1995
URI:
http://hdl.handle.net/10541/98816
PubMed ID:
8612367
Type:
Article
Language:
en
ISSN:
0009-9201
Appears in Collections:
All Christie Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorWilson, Sen
dc.contributor.authorWoodman, Ciaran B Jen
dc.date.accessioned2010-05-14T09:53:00Z-
dc.date.available2010-05-14T09:53:00Z-
dc.date.issued1995-09-
dc.identifier.citationAssessing the effectiveness of cervical screening. 1995, 38 (3):577-84 Clin Obstet Gynecolen
dc.identifier.issn0009-9201-
dc.identifier.pmid8612367-
dc.identifier.urihttp://hdl.handle.net/10541/98816-
dc.description.abstractThe mathematic models used to assess the benefits and cost-effectiveness of cervical screening reveal little consistency in the definition of disease status, the basic assumptions made, or the data used in the model. Conclusions derived from the models often are model and data dependent. Several authors have used simplified models and unrealistic assumptions, such as the failure to differentiate between different grades of dysplasia, or 100% sensitivity for the screening test. The Markov process assumes that the rate of transfer between states is independent of the duration of time spent in one state, and this assumption may be unsound. The difficulty with all models is in interpreting the appropriateness of the parameter values. Some are well documented, for example, stage-specific survival rates for treated patients or attendance for screening. Many, however, cannot be given a fixed value. The large number of factors that appear implicated in the incidence of and mortality from cervical cancer can lead to many feasible sets of parameter values that generate output that approaches the observed data.en
dc.language.isoenen
dc.subjectUterine Cervical Canceren
dc.subject.meshCase-Control Studies-
dc.subject.meshCost-Benefit Analysis-
dc.subject.meshFemale-
dc.subject.meshHumans-
dc.subject.meshIncidence-
dc.subject.meshMarkov Chains-
dc.subject.meshMass Screening-
dc.subject.meshSensitivity and Specificity-
dc.subject.meshSurvival Rate-
dc.subject.meshUterine Cervical Neoplasms-
dc.titleAssessing the effectiveness of cervical screening.en
dc.typeArticleen
dc.contributor.departmentCentre for Cancer Epidemiology, Christie Hospital NHS Trust, Withington, Manchester, United Kingdom.en
dc.identifier.journalClinical Obstetrics and Gynecologyen

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