A national survey of radiation oncologists and urologists on prediction tools and nomograms for localized prostate cancer
Purpose Although prediction tools for prostate cancer (PCa) are essential for high-quality treatment decision-making, little is known about the degree of confidence in existing tools and whether they are used in clinical practice from radiation oncologists (RO) and urologists (URO). Herein, we perfo...
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| Veröffentlicht in: | World journal of urology 2019-10, Vol.37 (10), p.2099-2108 |
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| container_title | World journal of urology |
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| creator | Gershman, Boris Maroni, Paul Tilburt, Jon C. Volk, Robert J. Konety, Badrinath Bennett, Charles L. Kutikov, Alexander Smaldone, Marc C. Chen, Victor Kim, Simon P. |
| description | Purpose
Although prediction tools for prostate cancer (PCa) are essential for high-quality treatment decision-making, little is known about the degree of confidence in existing tools and whether they are used in clinical practice from radiation oncologists (RO) and urologists (URO). Herein, we performed a national survey of specialists about perceived attitudes and use of prediction tools.
Methods
In 2017, we invited 940 URO and 911 RO in a national survey to query their confidence in and use of the D’Amico criteria, Kattan Nomogram, and CAPRA score. The statistical analysis involved bivariate association and multivariable logistic regression analyses to identify physician characteristics (age, gender, race, practice affiliation, specialty, access to robotic surgery, ownership of linear accelerator and number of prostate cancer per week) associated with survey responses and use of active surveillance (AS) for low-risk PCa.
Results
Overall, 691 (37.3%) specialists completed the surveys. Two-thirds (range 65.6–68.4%) of respondents reported being “somewhat confident”, but only a fifth selected “very confident” for each prediction tool (18.0–20.1%). 19.1% of specialists in the survey reported not using any prediction tools in clinical practice, which was higher amongst URO than RO (23.9 vs. 13.4%;
p
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| doi_str_mv | 10.1007/s00345-019-02637-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2179469248</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2169500080</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-fba9d79650a17cd9735a8bf1f4162d7a9886b513ab7e365fcc3b6cb62dcc2d443</originalsourceid><addsrcrecordid>eNp9kUtLxDAUhYMozvj4Ay4k4MZN9aZJk2Y5DL5AcKPrkCbpUGkbTVph_PVmpjqCC1chOd85l5uD0BmBKwIgriMAZUUGRGaQcyoyvofmhFGalSLn-2gOImcZkyWdoaMYXwGI4FAcohkFLkhyzNF6gXs9NL7XLY5j-HBr7GsctG22r9j3xrd-1cQhYt1bPIbdNalvwdnGbMHB-3ZCet_5VdBdxLUPuPVGt82nswn2cdCDw0b3xoUTdFDrNrrT7_MYvdzePC_vs8enu4fl4jEzVBRDVldaWiF5AZoIY6WghS6rmtSM8NwKLcuSVwWhuhKO8qI2hlbcVEkzJreM0WN0OeWm-e-ji4Pqmmhc2-re-TGqnAjJuMxZmdCLP-irH0P6mg3FZQEAJSQqnyiTForB1eotNJ0Oa0VAbYpRUzEqFaO2xSieTOff0WPVObuz_DSRADoBMUn9yoXf2f_EfgH_G5sz</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2169500080</pqid></control><display><type>article</type><title>A national survey of radiation oncologists and urologists on prediction tools and nomograms for localized prostate cancer</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Gershman, Boris ; Maroni, Paul ; Tilburt, Jon C. ; Volk, Robert J. ; Konety, Badrinath ; Bennett, Charles L. ; Kutikov, Alexander ; Smaldone, Marc C. ; Chen, Victor ; Kim, Simon P.</creator><creatorcontrib>Gershman, Boris ; Maroni, Paul ; Tilburt, Jon C. ; Volk, Robert J. ; Konety, Badrinath ; Bennett, Charles L. ; Kutikov, Alexander ; Smaldone, Marc C. ; Chen, Victor ; Kim, Simon P.</creatorcontrib><description>Purpose
Although prediction tools for prostate cancer (PCa) are essential for high-quality treatment decision-making, little is known about the degree of confidence in existing tools and whether they are used in clinical practice from radiation oncologists (RO) and urologists (URO). Herein, we performed a national survey of specialists about perceived attitudes and use of prediction tools.
Methods
In 2017, we invited 940 URO and 911 RO in a national survey to query their confidence in and use of the D’Amico criteria, Kattan Nomogram, and CAPRA score. The statistical analysis involved bivariate association and multivariable logistic regression analyses to identify physician characteristics (age, gender, race, practice affiliation, specialty, access to robotic surgery, ownership of linear accelerator and number of prostate cancer per week) associated with survey responses and use of active surveillance (AS) for low-risk PCa.
Results
Overall, 691 (37.3%) specialists completed the surveys. Two-thirds (range 65.6–68.4%) of respondents reported being “somewhat confident”, but only a fifth selected “very confident” for each prediction tool (18.0–20.1%). 19.1% of specialists in the survey reported not using any prediction tools in clinical practice, which was higher amongst URO than RO (23.9 vs. 13.4%;
p
< 0.001). Respondents who reported not using prediction tools were also associated with low utilization of AS in their low-risk PCa patients (adjusted OR 2.47;
p
= 0.01).
Conclusions
While a majority of RO and URO view existing prediction tools for localized PCa with some degree of confidence, a fifth of specialists reported not using any such tools in clinical practice. Lack of using such tools was associated with low utilization of AS for low-risk PCa.</description><identifier>ISSN: 0724-4983</identifier><identifier>EISSN: 1433-8726</identifier><identifier>DOI: 10.1007/s00345-019-02637-6</identifier><identifier>PMID: 30671637</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Aged ; Attitude of Health Personnel ; Clinical decision making ; Clinical medicine ; Confidence ; Decision making ; Female ; Health Care Surveys ; Humans ; Male ; Medical Oncology ; Medicine ; Medicine & Public Health ; Middle Aged ; Nephrology ; Nomograms ; Oncology ; Original Article ; Prostate cancer ; Prostatic Neoplasms - therapy ; Radiology ; Robotic surgery ; Statistical analysis ; Surgery ; United States ; Urology</subject><ispartof>World journal of urology, 2019-10, Vol.37 (10), p.2099-2108</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>World Journal of Urology is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-fba9d79650a17cd9735a8bf1f4162d7a9886b513ab7e365fcc3b6cb62dcc2d443</citedby><cites>FETCH-LOGICAL-c375t-fba9d79650a17cd9735a8bf1f4162d7a9886b513ab7e365fcc3b6cb62dcc2d443</cites><orcidid>0000-0002-7117-1443</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00345-019-02637-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00345-019-02637-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30671637$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gershman, Boris</creatorcontrib><creatorcontrib>Maroni, Paul</creatorcontrib><creatorcontrib>Tilburt, Jon C.</creatorcontrib><creatorcontrib>Volk, Robert J.</creatorcontrib><creatorcontrib>Konety, Badrinath</creatorcontrib><creatorcontrib>Bennett, Charles L.</creatorcontrib><creatorcontrib>Kutikov, Alexander</creatorcontrib><creatorcontrib>Smaldone, Marc C.</creatorcontrib><creatorcontrib>Chen, Victor</creatorcontrib><creatorcontrib>Kim, Simon P.</creatorcontrib><title>A national survey of radiation oncologists and urologists on prediction tools and nomograms for localized prostate cancer</title><title>World journal of urology</title><addtitle>World J Urol</addtitle><addtitle>World J Urol</addtitle><description>Purpose
Although prediction tools for prostate cancer (PCa) are essential for high-quality treatment decision-making, little is known about the degree of confidence in existing tools and whether they are used in clinical practice from radiation oncologists (RO) and urologists (URO). Herein, we performed a national survey of specialists about perceived attitudes and use of prediction tools.
Methods
In 2017, we invited 940 URO and 911 RO in a national survey to query their confidence in and use of the D’Amico criteria, Kattan Nomogram, and CAPRA score. The statistical analysis involved bivariate association and multivariable logistic regression analyses to identify physician characteristics (age, gender, race, practice affiliation, specialty, access to robotic surgery, ownership of linear accelerator and number of prostate cancer per week) associated with survey responses and use of active surveillance (AS) for low-risk PCa.
Results
Overall, 691 (37.3%) specialists completed the surveys. Two-thirds (range 65.6–68.4%) of respondents reported being “somewhat confident”, but only a fifth selected “very confident” for each prediction tool (18.0–20.1%). 19.1% of specialists in the survey reported not using any prediction tools in clinical practice, which was higher amongst URO than RO (23.9 vs. 13.4%;
p
< 0.001). Respondents who reported not using prediction tools were also associated with low utilization of AS in their low-risk PCa patients (adjusted OR 2.47;
p
= 0.01).
Conclusions
While a majority of RO and URO view existing prediction tools for localized PCa with some degree of confidence, a fifth of specialists reported not using any such tools in clinical practice. Lack of using such tools was associated with low utilization of AS for low-risk PCa.</description><subject>Adult</subject><subject>Aged</subject><subject>Attitude of Health Personnel</subject><subject>Clinical decision making</subject><subject>Clinical medicine</subject><subject>Confidence</subject><subject>Decision making</subject><subject>Female</subject><subject>Health Care Surveys</subject><subject>Humans</subject><subject>Male</subject><subject>Medical Oncology</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Nephrology</subject><subject>Nomograms</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Prostate cancer</subject><subject>Prostatic Neoplasms - therapy</subject><subject>Radiology</subject><subject>Robotic surgery</subject><subject>Statistical analysis</subject><subject>Surgery</subject><subject>United States</subject><subject>Urology</subject><issn>0724-4983</issn><issn>1433-8726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kUtLxDAUhYMozvj4Ay4k4MZN9aZJk2Y5DL5AcKPrkCbpUGkbTVph_PVmpjqCC1chOd85l5uD0BmBKwIgriMAZUUGRGaQcyoyvofmhFGalSLn-2gOImcZkyWdoaMYXwGI4FAcohkFLkhyzNF6gXs9NL7XLY5j-HBr7GsctG22r9j3xrd-1cQhYt1bPIbdNalvwdnGbMHB-3ZCet_5VdBdxLUPuPVGt82nswn2cdCDw0b3xoUTdFDrNrrT7_MYvdzePC_vs8enu4fl4jEzVBRDVldaWiF5AZoIY6WghS6rmtSM8NwKLcuSVwWhuhKO8qI2hlbcVEkzJreM0WN0OeWm-e-ji4Pqmmhc2-re-TGqnAjJuMxZmdCLP-irH0P6mg3FZQEAJSQqnyiTForB1eotNJ0Oa0VAbYpRUzEqFaO2xSieTOff0WPVObuz_DSRADoBMUn9yoXf2f_EfgH_G5sz</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Gershman, Boris</creator><creator>Maroni, Paul</creator><creator>Tilburt, Jon C.</creator><creator>Volk, Robert J.</creator><creator>Konety, Badrinath</creator><creator>Bennett, Charles L.</creator><creator>Kutikov, Alexander</creator><creator>Smaldone, Marc C.</creator><creator>Chen, Victor</creator><creator>Kim, Simon P.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7117-1443</orcidid></search><sort><creationdate>20191001</creationdate><title>A national survey of radiation oncologists and urologists on prediction tools and nomograms for localized prostate cancer</title><author>Gershman, Boris ; Maroni, Paul ; Tilburt, Jon C. ; Volk, Robert J. ; Konety, Badrinath ; Bennett, Charles L. ; Kutikov, Alexander ; Smaldone, Marc C. ; Chen, Victor ; Kim, Simon P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-fba9d79650a17cd9735a8bf1f4162d7a9886b513ab7e365fcc3b6cb62dcc2d443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Attitude of Health Personnel</topic><topic>Clinical decision making</topic><topic>Clinical medicine</topic><topic>Confidence</topic><topic>Decision making</topic><topic>Female</topic><topic>Health Care Surveys</topic><topic>Humans</topic><topic>Male</topic><topic>Medical Oncology</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Nephrology</topic><topic>Nomograms</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Prostate cancer</topic><topic>Prostatic Neoplasms - therapy</topic><topic>Radiology</topic><topic>Robotic surgery</topic><topic>Statistical analysis</topic><topic>Surgery</topic><topic>United States</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gershman, Boris</creatorcontrib><creatorcontrib>Maroni, Paul</creatorcontrib><creatorcontrib>Tilburt, Jon C.</creatorcontrib><creatorcontrib>Volk, Robert J.</creatorcontrib><creatorcontrib>Konety, Badrinath</creatorcontrib><creatorcontrib>Bennett, Charles L.</creatorcontrib><creatorcontrib>Kutikov, Alexander</creatorcontrib><creatorcontrib>Smaldone, Marc C.</creatorcontrib><creatorcontrib>Chen, Victor</creatorcontrib><creatorcontrib>Kim, Simon P.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>World journal of urology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gershman, Boris</au><au>Maroni, Paul</au><au>Tilburt, Jon C.</au><au>Volk, Robert J.</au><au>Konety, Badrinath</au><au>Bennett, Charles L.</au><au>Kutikov, Alexander</au><au>Smaldone, Marc C.</au><au>Chen, Victor</au><au>Kim, Simon P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A national survey of radiation oncologists and urologists on prediction tools and nomograms for localized prostate cancer</atitle><jtitle>World journal of urology</jtitle><stitle>World J Urol</stitle><addtitle>World J Urol</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>37</volume><issue>10</issue><spage>2099</spage><epage>2108</epage><pages>2099-2108</pages><issn>0724-4983</issn><eissn>1433-8726</eissn><abstract>Purpose
Although prediction tools for prostate cancer (PCa) are essential for high-quality treatment decision-making, little is known about the degree of confidence in existing tools and whether they are used in clinical practice from radiation oncologists (RO) and urologists (URO). Herein, we performed a national survey of specialists about perceived attitudes and use of prediction tools.
Methods
In 2017, we invited 940 URO and 911 RO in a national survey to query their confidence in and use of the D’Amico criteria, Kattan Nomogram, and CAPRA score. The statistical analysis involved bivariate association and multivariable logistic regression analyses to identify physician characteristics (age, gender, race, practice affiliation, specialty, access to robotic surgery, ownership of linear accelerator and number of prostate cancer per week) associated with survey responses and use of active surveillance (AS) for low-risk PCa.
Results
Overall, 691 (37.3%) specialists completed the surveys. Two-thirds (range 65.6–68.4%) of respondents reported being “somewhat confident”, but only a fifth selected “very confident” for each prediction tool (18.0–20.1%). 19.1% of specialists in the survey reported not using any prediction tools in clinical practice, which was higher amongst URO than RO (23.9 vs. 13.4%;
p
< 0.001). Respondents who reported not using prediction tools were also associated with low utilization of AS in their low-risk PCa patients (adjusted OR 2.47;
p
= 0.01).
Conclusions
While a majority of RO and URO view existing prediction tools for localized PCa with some degree of confidence, a fifth of specialists reported not using any such tools in clinical practice. Lack of using such tools was associated with low utilization of AS for low-risk PCa.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30671637</pmid><doi>10.1007/s00345-019-02637-6</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7117-1443</orcidid></addata></record> |
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| ispartof | World journal of urology, 2019-10, Vol.37 (10), p.2099-2108 |
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| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Adult Aged Attitude of Health Personnel Clinical decision making Clinical medicine Confidence Decision making Female Health Care Surveys Humans Male Medical Oncology Medicine Medicine & Public Health Middle Aged Nephrology Nomograms Oncology Original Article Prostate cancer Prostatic Neoplasms - therapy Radiology Robotic surgery Statistical analysis Surgery United States Urology |
| title | A national survey of radiation oncologists and urologists on prediction tools and nomograms for localized prostate cancer |
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