Literature DB >> 8960040

Cost-effectiveness of rescreening conventionally prepared cervical smears by PAPNET testing.

C B Schechter1.   

Abstract

OBJECTIVE: This study explored the cost-effectiveness of the use of PAPNET testing-supplemental, neural network-based testing used to increase the accuracy of cervical smear screening practice. STUDY
DESIGN: Using a model adapted from one developed under contract from the United States Congress Office of Technology Assessment to evaluate cost-effectiveness of cervical cancer screening in elderly women, the study evaluated U.S. women aged 20-64. The study reviewed various screening intervals and examined the course of follow-up (i.e., repeat abnormal smear vs. immediate colposcopy) to offer a range into which most routine medical practice will fall.
RESULTS: Assuming a false negative rate of 25% for low grade squamous intraepithelial lesion (SIL) and 15% for high grade SIL and applying increased sensitivity of 30% from PAPNET, we can expect a cost of $48,474 per life-year saved among biennially screened women. For women screened triennially, as recommended by most groups, the cost per life-year saved is $25,185.
CONCLUSION: The PAPNET rescreening program is an economical approach to decreasing mortality and morbidity from cervical cancer and compares favorably to other commonly used interventions and diagnostic procedures.

Entities:  

Mesh:

Year:  1996        PMID: 8960040     DOI: 10.1159/000334021

Source DB:  PubMed          Journal:  Acta Cytol        ISSN: 0001-5547            Impact factor:   2.319


  4 in total

Review 1.  Cancer screening in renal transplant recipients: what is the evidence?

Authors:  Germaine Wong; Jeremy R Chapman; Jonathan C Craig
Journal:  Clin J Am Soc Nephrol       Date:  2008-03       Impact factor: 8.237

Review 2.  Calibration methods used in cancer simulation models and suggested reporting guidelines.

Authors:  Natasha K Stout; Amy B Knudsen; Chung Yin Kong; Pamela M McMahon; G Scott Gazelle
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

Review 3.  Artificial Neural Networks as Decision Support Tools in Cytopathology: Past, Present, and Future.

Authors:  Abraham Pouliakis; Efrossyni Karakitsou; Niki Margari; Panagiotis Bountris; Maria Haritou; John Panayiotides; Dimitrios Koutsouris; Petros Karakitsos
Journal:  Biomed Eng Comput Biol       Date:  2016-02-18

4.  Plasma protein profiles differ between women diagnosed with cervical intraepithelial neoplasia (cin) 1 and 3.

Authors:  Chandrika J Piyathilake; Denise K Oelschlager; Sreelatha Meleth; Edward E Partridge; William E Grizzle
Journal:  Cancer Inform       Date:  2007-02-27
  4 in total

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