Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma
Abstract Objectives: To design user friendly guides to prognosis for patients who have had invasive primary cutaneous malignant melanomas surgically excised. Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma pa...
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Veröffentlicht in: | BMJ 1995-12, Vol.311 (7019), p.1536-1541 |
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description | Abstract Objectives: To design user friendly guides to prognosis for patients who have had invasive primary cutaneous malignant melanomas surgically excised. Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma patients in whom known and possible prognostic variables interacted in different ways. Setting: Scotland. Subjects: Statistical modelling for prognostic trees was based on 1978 patients whose primary malignant melanoma was first diagnosed in 1979-86 for whom five year follow up and all relevant clinical pathological data were available. The resultant model was validated with 300 patients first diagnosed in 1987 for whom the same information was available. Main outcome measures: Actual and predicted rate of survival after diagnosis of primary cutaneous malignant melanoma. Results: The four subgroups of patients were men and women with ulcerated and non-ulcerated cutaneous primary melanomas. Validation of the model showed excellent agreement between actual status of patients in the relevant subgroups and their status as predicted by the model. Conclusions: The prognostic trees are simple to use and give more accurate prognosis for individual patients than is currently available from tumour thickness alone. |
doi_str_mv | 10.1136/bmj.311.7019.1536 |
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Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma patients in whom known and possible prognostic variables interacted in different ways. Setting: Scotland. Subjects: Statistical modelling for prognostic trees was based on 1978 patients whose primary malignant melanoma was first diagnosed in 1979-86 for whom five year follow up and all relevant clinical pathological data were available. The resultant model was validated with 300 patients first diagnosed in 1987 for whom the same information was available. Main outcome measures: Actual and predicted rate of survival after diagnosis of primary cutaneous malignant melanoma. Results: The four subgroups of patients were men and women with ulcerated and non-ulcerated cutaneous primary melanomas. Validation of the model showed excellent agreement between actual status of patients in the relevant subgroups and their status as predicted by the model. Conclusions: The prognostic trees are simple to use and give more accurate prognosis for individual patients than is currently available from tumour thickness alone.</description><identifier>ISSN: 0959-8138</identifier><identifier>EISSN: 1468-5833</identifier><identifier>EISSN: 1756-1833</identifier><identifier>DOI: 10.1136/bmj.311.7019.1536</identifier><identifier>PMID: 8520396</identifier><language>eng</language><publisher>London: British Medical Journal Publishing Group</publisher><subject>Clinical trials ; Drug design ; Health outcomes ; Lesions ; Melanoma ; Men ; Modeling ; Neoplasia ; Prognosis ; Statistical models</subject><ispartof>BMJ, 1995-12, Vol.311 (7019), p.1536-1541</ispartof><rights>1995 BMJ Publishing Group Ltd.</rights><rights>Copyright 1995 British Medical Journal</rights><rights>Copyright: 1995 (c) 1995 BMJ Publishing Group Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b411t-6db10245b6887346d413d5d26a886f3f3efd1e974ee0378e8232e7479feb0cea3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/29729791$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/29729791$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27923,27924,58016,58249</link.rule.ids></links><search><creatorcontrib>Aitchison, Tom C</creatorcontrib><creatorcontrib>Sirel, Jane M</creatorcontrib><creatorcontrib>Watt, Douglas C</creatorcontrib><creatorcontrib>MacKie, Rona M</creatorcontrib><creatorcontrib>Scottish Melanoma Group</creatorcontrib><title>Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma</title><title>BMJ</title><addtitle>BMJ</addtitle><description>Abstract Objectives: To design user friendly guides to prognosis for patients who have had invasive primary cutaneous malignant melanomas surgically excised. Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma patients in whom known and possible prognostic variables interacted in different ways. Setting: Scotland. Subjects: Statistical modelling for prognostic trees was based on 1978 patients whose primary malignant melanoma was first diagnosed in 1979-86 for whom five year follow up and all relevant clinical pathological data were available. The resultant model was validated with 300 patients first diagnosed in 1987 for whom the same information was available. Main outcome measures: Actual and predicted rate of survival after diagnosis of primary cutaneous malignant melanoma. Results: The four subgroups of patients were men and women with ulcerated and non-ulcerated cutaneous primary melanomas. Validation of the model showed excellent agreement between actual status of patients in the relevant subgroups and their status as predicted by the model. Conclusions: The prognostic trees are simple to use and give more accurate prognosis for individual patients than is currently available from tumour thickness alone.</description><subject>Clinical trials</subject><subject>Drug design</subject><subject>Health outcomes</subject><subject>Lesions</subject><subject>Melanoma</subject><subject>Men</subject><subject>Modeling</subject><subject>Neoplasia</subject><subject>Prognosis</subject><subject>Statistical models</subject><issn>0959-8138</issn><issn>1468-5833</issn><issn>1756-1833</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkE9PGzEQxS1URCPgA_SAZKnXbvCs_x9paAMiKj3QXi1vdpY6ZHdT2xHl2-NoK65Ilkbye2_e6EfIJ2BzAK4um34z5wBzzcDOQXJ1RGYglKmk4fwDmTErbWWAm4_kPKUNY6zm2lglT8iJkTXjVs3I_c84Pg5jymFNc0RMNI_Uh5bupv-QaBjozueAQ070OeQ_dL3PfsBxn2jvt-Fx8EOmPW79MPb-jBx3fpvw_P88Jb--f3tY3FSr--Xt4mpVNQIgV6ptgNVCNsoYzYVqBfBWtrXyxqiOdxy7FtBqgcjK0WhqXqMW2nbYsDV6fko-T3vLnX_3mLLbjPs4lEoHWmtZWyFVccHkWscxpYid28XQ-_jigLkDRFcgugLRHSC6A8SSuZgym5TH-BaorS7PQtGrSQ8p47833ccnpzTX0v34vXB3D1-XcL0UblX8Xyb_oer9-lcOHYnx</recordid><startdate>19951209</startdate><enddate>19951209</enddate><creator>Aitchison, Tom C</creator><creator>Sirel, Jane M</creator><creator>Watt, Douglas C</creator><creator>MacKie, Rona M</creator><general>British Medical Journal Publishing Group</general><general>British Medical Association</general><general>BMJ Publishing Group LTD</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6X</scope><scope>K9.</scope><scope>LK8</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>19951209</creationdate><title>Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma</title><author>Aitchison, Tom C ; Sirel, Jane M ; Watt, Douglas C ; MacKie, Rona M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b411t-6db10245b6887346d413d5d26a886f3f3efd1e974ee0378e8232e7479feb0cea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Clinical trials</topic><topic>Drug design</topic><topic>Health outcomes</topic><topic>Lesions</topic><topic>Melanoma</topic><topic>Men</topic><topic>Modeling</topic><topic>Neoplasia</topic><topic>Prognosis</topic><topic>Statistical models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aitchison, Tom C</creatorcontrib><creatorcontrib>Sirel, Jane M</creatorcontrib><creatorcontrib>Watt, Douglas C</creatorcontrib><creatorcontrib>MacKie, Rona M</creatorcontrib><creatorcontrib>Scottish Melanoma Group</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</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>ProQuest Central Basic</collection><jtitle>BMJ</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aitchison, Tom C</au><au>Sirel, Jane M</au><au>Watt, Douglas C</au><au>MacKie, Rona M</au><aucorp>Scottish Melanoma Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma</atitle><jtitle>BMJ</jtitle><addtitle>BMJ</addtitle><date>1995-12-09</date><risdate>1995</risdate><volume>311</volume><issue>7019</issue><spage>1536</spage><epage>1541</epage><pages>1536-1541</pages><issn>0959-8138</issn><eissn>1468-5833</eissn><eissn>1756-1833</eissn><abstract>Abstract Objectives: To design user friendly guides to prognosis for patients who have had invasive primary cutaneous malignant melanomas surgically excised. Design: Adaptation of the classification tree method was used to derive prognostic trees for four different subgroups of malignant melanoma patients in whom known and possible prognostic variables interacted in different ways. Setting: Scotland. Subjects: Statistical modelling for prognostic trees was based on 1978 patients whose primary malignant melanoma was first diagnosed in 1979-86 for whom five year follow up and all relevant clinical pathological data were available. The resultant model was validated with 300 patients first diagnosed in 1987 for whom the same information was available. Main outcome measures: Actual and predicted rate of survival after diagnosis of primary cutaneous malignant melanoma. Results: The four subgroups of patients were men and women with ulcerated and non-ulcerated cutaneous primary melanomas. Validation of the model showed excellent agreement between actual status of patients in the relevant subgroups and their status as predicted by the model. Conclusions: The prognostic trees are simple to use and give more accurate prognosis for individual patients than is currently available from tumour thickness alone.</abstract><cop>London</cop><pub>British Medical Journal Publishing Group</pub><pmid>8520396</pmid><doi>10.1136/bmj.311.7019.1536</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Clinical trials Drug design Health outcomes Lesions Melanoma Men Modeling Neoplasia Prognosis Statistical models |
title | Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma |
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