Effectiveness and cost-effectiveness of double reading in digital mammography screening: A systematic review and meta-analysis. Issue 96 (November 2017)
- Record Type:
- Journal Article
- Title:
- Effectiveness and cost-effectiveness of double reading in digital mammography screening: A systematic review and meta-analysis. Issue 96 (November 2017)
- Main Title:
- Effectiveness and cost-effectiveness of double reading in digital mammography screening: A systematic review and meta-analysis
- Authors:
- Posso, Margarita
Puig, Teresa
Carles, Misericòrdia
Rué, Montserrat
Canelo-Aybar, Carlos
Bonfill, Xavier - Abstract:
- Abstract: Purpose: Double reading is the strategy of choice for mammogram interpretation in screening programmes. It remains, however, unknown whether double reading is still the strategy of choice in the context of digital mammography. Our aim was to determine the effectiveness and cost-effectiveness of double reading versus single reading of digital mammograms in screening programmes. Methods: We performed a systematic review by searching the PubMed, Embase, and Cochrane Library databases up to April 2017. We used the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies) tool and CHEERS (Consolidated Health Economic Evaluation Reporting Standards) checklist to assess the methodological quality of the diagnostic studies and economic evaluations, respectively. A proportion's meta-analysis approach, 95% Confidence Intervals (95% CI) and test of heterogeneity (P values) were used for pooled results. Costs are expressed US$ PPP (United States Dollar purchasing power parities). The PROSPERO ID of this Systematic Review's protocol is CRD42014013804. Results: Of 1473 potentially relevant hits, four high-quality studies were included. The pooled cancer detection rate of double reading was 6.01 per 1000 screens (CI: 4.47‰–7.77‰), and it was 5.65 per 1000 screens (CI: 3.95‰–7.65‰) for single reading (P = 0.76). The pooled proportion of false-positives of double reading was 47.03 per 1000 screens (CI: 39.13‰–55.62‰) and it was 40.60 per 1000 screens (CI: 38.58‰–42.67‰) forAbstract: Purpose: Double reading is the strategy of choice for mammogram interpretation in screening programmes. It remains, however, unknown whether double reading is still the strategy of choice in the context of digital mammography. Our aim was to determine the effectiveness and cost-effectiveness of double reading versus single reading of digital mammograms in screening programmes. Methods: We performed a systematic review by searching the PubMed, Embase, and Cochrane Library databases up to April 2017. We used the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies) tool and CHEERS (Consolidated Health Economic Evaluation Reporting Standards) checklist to assess the methodological quality of the diagnostic studies and economic evaluations, respectively. A proportion's meta-analysis approach, 95% Confidence Intervals (95% CI) and test of heterogeneity (P values) were used for pooled results. Costs are expressed US$ PPP (United States Dollar purchasing power parities). The PROSPERO ID of this Systematic Review's protocol is CRD42014013804. Results: Of 1473 potentially relevant hits, four high-quality studies were included. The pooled cancer detection rate of double reading was 6.01 per 1000 screens (CI: 4.47‰–7.77‰), and it was 5.65 per 1000 screens (CI: 3.95‰–7.65‰) for single reading (P = 0.76). The pooled proportion of false-positives of double reading was 47.03 per 1000 screens (CI: 39.13‰–55.62‰) and it was 40.60 per 1000 screens (CI: 38.58‰–42.67‰) for single reading (P = 0.12). One study reported, for double reading, an ICER (Incremental Cost-Effectiveness Ratio) of 16, 684 Euros (24, 717 US$ PPP; 2015 value) per detected cancer. Single reading + CAD (computer-aided-detection) was cost-effective in Japan. Conclusion: The evidence of benefit for double reading compared to single reading for digital mammography interpretation is scarce. Double reading seems to increase operational costs, have a not significantly higher false-positive rate, and a similar cancer detection rate. … (more)
- Is Part Of:
- European journal of radiology. Issue 96(2017)
- Journal:
- European journal of radiology
- Issue:
- Issue 96(2017)
- Issue Display:
- Volume 96, Issue 96 (2017)
- Year:
- 2017
- Volume:
- 96
- Issue:
- 96
- Issue Sort Value:
- 2017-0096-0096-0000
- Page Start:
- 40
- Page End:
- 49
- Publication Date:
- 2017-11
- Subjects:
- CAD computer-aided-detection -- DCIS ductal carcinoma in situ -- FNAC fine-needle aspiration cytology -- ICER incremental cost-effectiveness ratio -- NHS-EED Economic Evaluation Database produced by the NIHR Centre for Reviews and Dissemination (CRD) at the University of York -- NPV net present value -- US$ PPP United States Dollar purchasing power parities
Mammography -- Mass screening -- Breast neoplasms -- Cost and cost analysis -- Systematic review
Medical radiology -- Periodicals
Radiology -- Periodicals
Radiologie médicale -- Périodiques
Medical radiology
Periodicals
616.075705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0720048X ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.clinicalkey.com/dura/browse/journalIssue/0720048X ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/0720048X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ejrad.2017.09.013 ↗
- Languages:
- English
- ISSNs:
- 0720-048X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 3829.738050
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