Prognostic Modeling of Clinical Outcomes: An Illustration with Data from Patients with Membranous Nephropathy
Probabilities that a patient will occupy any of five clinically defined compartments at different future times are generated and graphed by a personal computer. The probabilities are functions of a patient's relevant baseline characteristics (treated or control group), clinical status, and foll...
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Veröffentlicht in: | Epidemiology (Cambridge, Mass.) Mass.), 1991-09, Vol.2 (5), p.339-347 |
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description | Probabilities that a patient will occupy any of five clinically defined compartments at different future times are generated and graphed by a personal computer. The probabilities are functions of a patient's relevant baseline characteristics (treated or control group), clinical status, and follow-up time at which the prognosis is made. The illustrative prognostic model is based on a reanalysis of detailed individual records for 81 patients with idiopathic membranous nephropathy (42 treated with methylprednisolone and chlorambucil; 39 controls) in a randomized clinical trial. The compartments to and from which patients may pass are identified as (1) complete remission, (2) partial remission, (3) the nephrotic syndrome, (4) renal failure, and (5) death. Estimated risk functions for transitions between compartments involve baseline treatment, and intermediate and temporal variables, together with their relevant interactions. The model illustrates how, despite the overall advantage of treated over control patients, the comparative prognoses can change greatly and can even sometimes be reversed, depending on a variety of follow-up experiences. |
doi_str_mv | 10.1097/00001648-199109000-00005 |
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The model illustrates how, despite the overall advantage of treated over control patients, the comparative prognoses can change greatly and can even sometimes be reversed, depending on a variety of follow-up experiences.</description><identifier>ISSN: 1044-3983</identifier><identifier>EISSN: 1531-5487</identifier><identifier>DOI: 10.1097/00001648-199109000-00005</identifier><identifier>PMID: 1742382</identifier><language>eng</language><publisher>United States: Blackwell Scientific Publications, Inc. and Epidemiology Resources Inc</publisher><subject>Computer Simulation ; Disease models ; diseases ; Epidemiology ; Glomerulonephritis, Membranous - therapy ; Health outcomes ; Humans ; Kidney failure ; Maximum likelihood estimators ; Membranous glomerulonephritis ; membranous nephropathy ; Models, Biological ; Nephrotic syndrome ; personal computers ; Probability ; Prognosis ; Prognostic tests ; risk assessment ; Standard error ; Treatment Outcome</subject><ispartof>Epidemiology (Cambridge, Mass.), 1991-09, Vol.2 (5), p.339-347</ispartof><rights>Copyright 1991 Epidemiology Resources Inc.</rights><rights>Lippincott-Raven Publishers.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/20065697$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/20065697$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27924,27925,58017,58250</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/1742382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sheehe, Paul R.</creatorcontrib><title>Prognostic Modeling of Clinical Outcomes: An Illustration with Data from Patients with Membranous Nephropathy</title><title>Epidemiology (Cambridge, Mass.)</title><addtitle>Epidemiology</addtitle><description>Probabilities that a patient will occupy any of five clinically defined compartments at different future times are generated and graphed by a personal computer. The probabilities are functions of a patient's relevant baseline characteristics (treated or control group), clinical status, and follow-up time at which the prognosis is made. The illustrative prognostic model is based on a reanalysis of detailed individual records for 81 patients with idiopathic membranous nephropathy (42 treated with methylprednisolone and chlorambucil; 39 controls) in a randomized clinical trial. The compartments to and from which patients may pass are identified as (1) complete remission, (2) partial remission, (3) the nephrotic syndrome, (4) renal failure, and (5) death. Estimated risk functions for transitions between compartments involve baseline treatment, and intermediate and temporal variables, together with their relevant interactions. The model illustrates how, despite the overall advantage of treated over control patients, the comparative prognoses can change greatly and can even sometimes be reversed, depending on a variety of follow-up experiences.</description><subject>Computer Simulation</subject><subject>Disease models</subject><subject>diseases</subject><subject>Epidemiology</subject><subject>Glomerulonephritis, Membranous - therapy</subject><subject>Health outcomes</subject><subject>Humans</subject><subject>Kidney failure</subject><subject>Maximum likelihood estimators</subject><subject>Membranous glomerulonephritis</subject><subject>membranous nephropathy</subject><subject>Models, Biological</subject><subject>Nephrotic syndrome</subject><subject>personal computers</subject><subject>Probability</subject><subject>Prognosis</subject><subject>Prognostic tests</subject><subject>risk assessment</subject><subject>Standard error</subject><subject>Treatment Outcome</subject><issn>1044-3983</issn><issn>1531-5487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUk1PHSEUJU2Ntc_-BBNW3Y2FAQbozry2auLXQteEYcAZZYZXYPLivxcd-1w1suFy7jmXyz0AADE6xkjyH6gs3FBRYSkLUE7VC8Q-gQPMCK4YFfxziRGlFZGCfAFfU3ooGk4w2wf7mNOaiPoAjDcx3E8h5cHAy9BZP0z3MDi4LsFgtIfXczZhtOknPJngufdzylHnIUxwO-Qe_tJZQxfDCG8KaqecFvzSjm3UU5gTvLKbPoaNzv3TIdhz2if77W1fgbs_v2_XZ9XF9en5-uSiMkRQVnWs1twggyQhxOEGE1begHQrKe4aKY1pXe06S3iLhSMUtZoLxw1BRnNnLFmB70vdTQx_Z5uyGodkrPd6sqUlxWuGyuTQh8SaEYHLRD8kliZFUxwoRLEQTQwpRevUJg6jjk8KI_Xinfrnndp59wqxIj16u2NuR9u9CxezSp4u-W3w2cb06Oetjaq32ude_e9LvJd9SDnEXdUaoYY1kpNnxLauMg</recordid><startdate>199109</startdate><enddate>199109</enddate><creator>Sheehe, Paul R.</creator><general>Blackwell Scientific Publications, Inc. and Epidemiology Resources Inc</general><general>Lippincott-Raven Publishers</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>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>199109</creationdate><title>Prognostic Modeling of Clinical Outcomes: An Illustration with Data from Patients with Membranous Nephropathy</title><author>Sheehe, Paul R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3845-d52a7c0c09333f161359830ab941d699ccbf2fde37b18f340ba78f7c30ca7fce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Computer Simulation</topic><topic>Disease models</topic><topic>diseases</topic><topic>Epidemiology</topic><topic>Glomerulonephritis, Membranous - therapy</topic><topic>Health outcomes</topic><topic>Humans</topic><topic>Kidney failure</topic><topic>Maximum likelihood estimators</topic><topic>Membranous glomerulonephritis</topic><topic>membranous nephropathy</topic><topic>Models, Biological</topic><topic>Nephrotic syndrome</topic><topic>personal computers</topic><topic>Probability</topic><topic>Prognosis</topic><topic>Prognostic tests</topic><topic>risk assessment</topic><topic>Standard error</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sheehe, Paul R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - 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The probabilities are functions of a patient's relevant baseline characteristics (treated or control group), clinical status, and follow-up time at which the prognosis is made. The illustrative prognostic model is based on a reanalysis of detailed individual records for 81 patients with idiopathic membranous nephropathy (42 treated with methylprednisolone and chlorambucil; 39 controls) in a randomized clinical trial. The compartments to and from which patients may pass are identified as (1) complete remission, (2) partial remission, (3) the nephrotic syndrome, (4) renal failure, and (5) death. Estimated risk functions for transitions between compartments involve baseline treatment, and intermediate and temporal variables, together with their relevant interactions. 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source | MEDLINE; Journals@Ovid Complete; JSTOR Archive Collection A-Z Listing |
subjects | Computer Simulation Disease models diseases Epidemiology Glomerulonephritis, Membranous - therapy Health outcomes Humans Kidney failure Maximum likelihood estimators Membranous glomerulonephritis membranous nephropathy Models, Biological Nephrotic syndrome personal computers Probability Prognosis Prognostic tests risk assessment Standard error Treatment Outcome |
title | Prognostic Modeling of Clinical Outcomes: An Illustration with Data from Patients with Membranous Nephropathy |
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