Loading…
Prognosis in primary biliary cirrhosis: Model for decision making
The ideal mathematical model for predicting survival for individual patients with primary biliary cirrhosis should be based on a small number of inexpensive, noninvasive measurements that are universally available. Such a model would be useful in medical management by aiding in the selection of pati...
Saved in:
Published in: | Hepatology (Baltimore, Md.) Md.), 1989-07, Vol.10 (1), p.1-7 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c4352-3eb7a6758524215045feea16802d9086eda736c2846e27b74ab3c17dd0310a743 |
---|---|
cites | cdi_FETCH-LOGICAL-c4352-3eb7a6758524215045feea16802d9086eda736c2846e27b74ab3c17dd0310a743 |
container_end_page | 7 |
container_issue | 1 |
container_start_page | 1 |
container_title | Hepatology (Baltimore, Md.) |
container_volume | 10 |
creator | Dickson, E. Rolland Grambsch, Patricia M. Fleming, Thomas R. Fisher, Lloyd D. Langworthy, Alice |
description | The ideal mathematical model for predicting survival for individual patients with primary biliary cirrhosis should be based on a small number of inexpensive, noninvasive measurements that are universally available. Such a model would be useful in medical management by aiding in the selection of patients for and timing of orthotopic liver transplantation. This paper describes the development, testing and use of a mathematical model for predicting survival. The Cox regression method and comprehensive data from 312 Mayo Clinic patients with primary biliary cirrhosis were used to derive a model based on patient's age, total serum bilirubin and serum albumin concentrations, prothrombin time and severity of edema. When cross‐validated on an independent set of 106 Mayo Clinic primary biliary cirrhosis patients, the model predicted survival accurately. Our model was found to be comparable in quality to two other primary biliary cirrhosis survival models reported in the literature and to have the advantage of not requiring liver biopsy. |
doi_str_mv | 10.1002/hep.1840100102 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_79046664</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>79046664</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4352-3eb7a6758524215045feea16802d9086eda736c2846e27b74ab3c17dd0310a743</originalsourceid><addsrcrecordid>eNqFkD1PwzAQhi0EKqWwsiFlQGwp5--YraoKRQLRAWbLSZzWkMbFpkL99yRqVNiYTqf38d35QegSwxgDkNuV3YxxxqBtMJAjNMScyJRSDsdoCERCqjBVp-gsxncAUIxkAzQgkkqu-BBNFsEvGx9dTFyTbIJbm7BLcle7rhYuhFUX3iXPvrR1UvmQlLZw0fkmWZsP1yzP0Ull6mgv-jpCb_ez1-k8fXp5eJxOntKCUU5SanNphOQZJ4xgDoxX1hosMiClgkzY0kgqCpIxYYnMJTM5LbAsS6AYjGR0hG72czfBf25t_NJrFwtb16axfhu1VMCEEB043oNF8DEGW-n-WxqD7pzp1pn-ddY-uOonb_O1LQ94L6nNr_vcxMLUVTBNa-CASZJhQVWLqT327Wq7-2epns8Wf074Abhsgyw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>79046664</pqid></control><display><type>article</type><title>Prognosis in primary biliary cirrhosis: Model for decision making</title><source>Alma/SFX Local Collection</source><creator>Dickson, E. Rolland ; Grambsch, Patricia M. ; Fleming, Thomas R. ; Fisher, Lloyd D. ; Langworthy, Alice</creator><creatorcontrib>Dickson, E. Rolland ; Grambsch, Patricia M. ; Fleming, Thomas R. ; Fisher, Lloyd D. ; Langworthy, Alice</creatorcontrib><description>The ideal mathematical model for predicting survival for individual patients with primary biliary cirrhosis should be based on a small number of inexpensive, noninvasive measurements that are universally available. Such a model would be useful in medical management by aiding in the selection of patients for and timing of orthotopic liver transplantation. This paper describes the development, testing and use of a mathematical model for predicting survival. The Cox regression method and comprehensive data from 312 Mayo Clinic patients with primary biliary cirrhosis were used to derive a model based on patient's age, total serum bilirubin and serum albumin concentrations, prothrombin time and severity of edema. When cross‐validated on an independent set of 106 Mayo Clinic primary biliary cirrhosis patients, the model predicted survival accurately. Our model was found to be comparable in quality to two other primary biliary cirrhosis survival models reported in the literature and to have the advantage of not requiring liver biopsy.</description><identifier>ISSN: 0270-9139</identifier><identifier>EISSN: 1527-3350</identifier><identifier>DOI: 10.1002/hep.1840100102</identifier><identifier>PMID: 2737595</identifier><identifier>CODEN: HPTLD9</identifier><language>eng</language><publisher>Philadelphia, PA: W.B. Saunders</publisher><subject>Biological and medical sciences ; Decision Making, Computer-Assisted ; Evaluation Studies as Topic ; Gastroenterology. Liver. Pancreas. Abdomen ; Humans ; Liver Cirrhosis, Biliary - mortality ; Liver Cirrhosis, Biliary - physiopathology ; Liver Cirrhosis, Biliary - therapy ; Liver. Biliary tract. Portal circulation. Exocrine pancreas ; Medical sciences ; Models, Theoretical ; Other diseases. Semiology ; Prognosis</subject><ispartof>Hepatology (Baltimore, Md.), 1989-07, Vol.10 (1), p.1-7</ispartof><rights>Copyright © 1989 American Association for the Study of Liver Diseases</rights><rights>1989 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4352-3eb7a6758524215045feea16802d9086eda736c2846e27b74ab3c17dd0310a743</citedby><cites>FETCH-LOGICAL-c4352-3eb7a6758524215045feea16802d9086eda736c2846e27b74ab3c17dd0310a743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=7281639$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/2737595$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dickson, E. Rolland</creatorcontrib><creatorcontrib>Grambsch, Patricia M.</creatorcontrib><creatorcontrib>Fleming, Thomas R.</creatorcontrib><creatorcontrib>Fisher, Lloyd D.</creatorcontrib><creatorcontrib>Langworthy, Alice</creatorcontrib><title>Prognosis in primary biliary cirrhosis: Model for decision making</title><title>Hepatology (Baltimore, Md.)</title><addtitle>Hepatology</addtitle><description>The ideal mathematical model for predicting survival for individual patients with primary biliary cirrhosis should be based on a small number of inexpensive, noninvasive measurements that are universally available. Such a model would be useful in medical management by aiding in the selection of patients for and timing of orthotopic liver transplantation. This paper describes the development, testing and use of a mathematical model for predicting survival. The Cox regression method and comprehensive data from 312 Mayo Clinic patients with primary biliary cirrhosis were used to derive a model based on patient's age, total serum bilirubin and serum albumin concentrations, prothrombin time and severity of edema. When cross‐validated on an independent set of 106 Mayo Clinic primary biliary cirrhosis patients, the model predicted survival accurately. Our model was found to be comparable in quality to two other primary biliary cirrhosis survival models reported in the literature and to have the advantage of not requiring liver biopsy.</description><subject>Biological and medical sciences</subject><subject>Decision Making, Computer-Assisted</subject><subject>Evaluation Studies as Topic</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Humans</subject><subject>Liver Cirrhosis, Biliary - mortality</subject><subject>Liver Cirrhosis, Biliary - physiopathology</subject><subject>Liver Cirrhosis, Biliary - therapy</subject><subject>Liver. Biliary tract. Portal circulation. Exocrine pancreas</subject><subject>Medical sciences</subject><subject>Models, Theoretical</subject><subject>Other diseases. Semiology</subject><subject>Prognosis</subject><issn>0270-9139</issn><issn>1527-3350</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PwzAQhi0EKqWwsiFlQGwp5--YraoKRQLRAWbLSZzWkMbFpkL99yRqVNiYTqf38d35QegSwxgDkNuV3YxxxqBtMJAjNMScyJRSDsdoCERCqjBVp-gsxncAUIxkAzQgkkqu-BBNFsEvGx9dTFyTbIJbm7BLcle7rhYuhFUX3iXPvrR1UvmQlLZw0fkmWZsP1yzP0Ull6mgv-jpCb_ez1-k8fXp5eJxOntKCUU5SanNphOQZJ4xgDoxX1hosMiClgkzY0kgqCpIxYYnMJTM5LbAsS6AYjGR0hG72czfBf25t_NJrFwtb16axfhu1VMCEEB043oNF8DEGW-n-WxqD7pzp1pn-ddY-uOonb_O1LQ94L6nNr_vcxMLUVTBNa-CASZJhQVWLqT327Wq7-2epns8Wf074Abhsgyw</recordid><startdate>198907</startdate><enddate>198907</enddate><creator>Dickson, E. Rolland</creator><creator>Grambsch, Patricia M.</creator><creator>Fleming, Thomas R.</creator><creator>Fisher, Lloyd D.</creator><creator>Langworthy, Alice</creator><general>W.B. Saunders</general><general>Wiley</general><scope>IQODW</scope><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>7X8</scope></search><sort><creationdate>198907</creationdate><title>Prognosis in primary biliary cirrhosis: Model for decision making</title><author>Dickson, E. Rolland ; Grambsch, Patricia M. ; Fleming, Thomas R. ; Fisher, Lloyd D. ; Langworthy, Alice</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4352-3eb7a6758524215045feea16802d9086eda736c2846e27b74ab3c17dd0310a743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>Biological and medical sciences</topic><topic>Decision Making, Computer-Assisted</topic><topic>Evaluation Studies as Topic</topic><topic>Gastroenterology. Liver. Pancreas. Abdomen</topic><topic>Humans</topic><topic>Liver Cirrhosis, Biliary - mortality</topic><topic>Liver Cirrhosis, Biliary - physiopathology</topic><topic>Liver Cirrhosis, Biliary - therapy</topic><topic>Liver. Biliary tract. Portal circulation. Exocrine pancreas</topic><topic>Medical sciences</topic><topic>Models, Theoretical</topic><topic>Other diseases. Semiology</topic><topic>Prognosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dickson, E. Rolland</creatorcontrib><creatorcontrib>Grambsch, Patricia M.</creatorcontrib><creatorcontrib>Fleming, Thomas R.</creatorcontrib><creatorcontrib>Fisher, Lloyd D.</creatorcontrib><creatorcontrib>Langworthy, Alice</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Hepatology (Baltimore, Md.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dickson, E. Rolland</au><au>Grambsch, Patricia M.</au><au>Fleming, Thomas R.</au><au>Fisher, Lloyd D.</au><au>Langworthy, Alice</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognosis in primary biliary cirrhosis: Model for decision making</atitle><jtitle>Hepatology (Baltimore, Md.)</jtitle><addtitle>Hepatology</addtitle><date>1989-07</date><risdate>1989</risdate><volume>10</volume><issue>1</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>0270-9139</issn><eissn>1527-3350</eissn><coden>HPTLD9</coden><abstract>The ideal mathematical model for predicting survival for individual patients with primary biliary cirrhosis should be based on a small number of inexpensive, noninvasive measurements that are universally available. Such a model would be useful in medical management by aiding in the selection of patients for and timing of orthotopic liver transplantation. This paper describes the development, testing and use of a mathematical model for predicting survival. The Cox regression method and comprehensive data from 312 Mayo Clinic patients with primary biliary cirrhosis were used to derive a model based on patient's age, total serum bilirubin and serum albumin concentrations, prothrombin time and severity of edema. When cross‐validated on an independent set of 106 Mayo Clinic primary biliary cirrhosis patients, the model predicted survival accurately. Our model was found to be comparable in quality to two other primary biliary cirrhosis survival models reported in the literature and to have the advantage of not requiring liver biopsy.</abstract><cop>Philadelphia, PA</cop><pub>W.B. Saunders</pub><pmid>2737595</pmid><doi>10.1002/hep.1840100102</doi><tpages>7</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0270-9139 |
ispartof | Hepatology (Baltimore, Md.), 1989-07, Vol.10 (1), p.1-7 |
issn | 0270-9139 1527-3350 |
language | eng |
recordid | cdi_proquest_miscellaneous_79046664 |
source | Alma/SFX Local Collection |
subjects | Biological and medical sciences Decision Making, Computer-Assisted Evaluation Studies as Topic Gastroenterology. Liver. Pancreas. Abdomen Humans Liver Cirrhosis, Biliary - mortality Liver Cirrhosis, Biliary - physiopathology Liver Cirrhosis, Biliary - therapy Liver. Biliary tract. Portal circulation. Exocrine pancreas Medical sciences Models, Theoretical Other diseases. Semiology Prognosis |
title | Prognosis in primary biliary cirrhosis: Model for decision making |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T15%3A45%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prognosis%20in%20primary%20biliary%20cirrhosis:%20Model%20for%20decision%20making&rft.jtitle=Hepatology%20(Baltimore,%20Md.)&rft.au=Dickson,%20E.%20Rolland&rft.date=1989-07&rft.volume=10&rft.issue=1&rft.spage=1&rft.epage=7&rft.pages=1-7&rft.issn=0270-9139&rft.eissn=1527-3350&rft.coden=HPTLD9&rft_id=info:doi/10.1002/hep.1840100102&rft_dat=%3Cproquest_cross%3E79046664%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4352-3eb7a6758524215045feea16802d9086eda736c2846e27b74ab3c17dd0310a743%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=79046664&rft_id=info:pmid/2737595&rfr_iscdi=true |