Literature DB >> 12511459

A web-based system for individualised survival estimation in breast cancer.

Johan Lundin1, Mikael Lundin, Jorma Isola, Heikki Joensuu.   

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Year:  2003        PMID： 12511459      PMCID： PMC139502          DOI： 10.1136/bmj.326.7379.29

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  4 in total

Review 1.  Meeting highlights: International Consensus Panel on the Treatment of Primary Breast Cancer. Seventh International Conference on Adjuvant Therapy of Primary Breast Cancer.

Authors:  A Goldhirsch; J H Glick; R D Gelber; A S Coates; H J Senn
Journal:  J Clin Oncol       Date:  2001-09-15       Impact factor: 44.544

2.  Statistical prediction models, artificial neural networks, and the sophism "I am a patient, not a statistic".

Authors:  Michael Kattan
Journal:  J Clin Oncol       Date:  2002-02-15       Impact factor: 44.544

3.  Omission of histologic grading from clinical decision making may result in overuse of adjuvant therapies in breast cancer: results from a nationwide study.

Authors:  J Lundin; M Lundin; K Holli; V Kataja; L Elomaa; L Pylkkänen; T Turpeenniemi-Hujanen; H Joensuu
Journal:  J Clin Oncol       Date:  2001-01-01       Impact factor: 44.544

Review 4.  National Institutes of Health Consensus Development Conference statement: adjuvant therapy for breast cancer, November 1-3, 2000.

Authors: 
Journal:  J Natl Cancer Inst Monogr       Date:  2001
  4 in total
  11 in total

1.  Parametric survival models may be more accurate than Kaplan-Meier estimates.

Authors:  Margaret May; Jonathan Sterne; Matthias Egger
Journal:  BMJ       Date:  2003-04-12

2.  Using clinical databases in practice.

Authors:  Nick Black
Journal:  BMJ       Date:  2003-01-04

3.  Cross sectional survey of multicentre clinical databases in the United Kingdom.

Authors:  Nick Black; Marian Barker; Mary Payne
Journal:  BMJ       Date:  2004-06-19

Review 4.  How computers can help to share understanding with patients.

Authors:  Frank Sullivan; Jeremy C Wyatt
Journal:  BMJ       Date:  2005-10-15

5.  WebDISCO: a web service for distributed cox model learning without patient-level data sharing.

Authors:  Chia-Lun Lu; Shuang Wang; Zhanglong Ji; Yuan Wu; Li Xiong; Xiaoqian Jiang; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2015-07-09       Impact factor: 4.497

6.  An extensive tumor array analysis supports tumor suppressive role for nucleophosmin in breast cancer.

Authors:  Piia-Riitta Karhemo; Antti Rivinoja; Johan Lundin; Maija Hyvönen; Anastasiya Chernenko; Johanna Lammi; Harri Sihto; Mikael Lundin; Päivi Heikkilä; Heikki Joensuu; Petri Bono; Pirjo Laakkonen
Journal:  Am J Pathol       Date:  2011-06-02       Impact factor: 4.307

7.  Cross-sectional analysis of a collaborative Web-based database for lupus erythematosus-associated skin lesions: prospective enrollment of 114 patients.

Authors:  Siamak Moghadam-Kia; Katherine Chilek; Elizabeth Gaines; Melissa Costner; Mathew E Rose; Joyce Okawa; Victoria P Werth
Journal:  Arch Dermatol       Date:  2009-03

8.  Development of individual survival estimating program for cancer patients' management.

Authors:  Myung-Chul Chang
Journal:  Healthc Inform Res       Date:  2015-04-30

9.  Prognostic factors for survivals from first relapse in breast cancer patients: analysis of deceased patients.

Authors:  Haeyoung Kim; Doo Ho Choi; Won Park; Seung Jae Huh; Seok Jin Nam; Jeong Eon Lee; Jin Seok Ahn; Young-Hyuck Im
Journal:  Radiat Oncol J       Date:  2013-12-31

10.  Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy.

Authors:  Dmitrii Bychkov; Nina Linder; Aleksei Tiulpin; Hakan Kücükel; Mikael Lundin; Stig Nordling; Harri Sihto; Jorma Isola; Tiina Lehtimäki; Pirkko-Liisa Kellokumpu-Lehtinen; Karl von Smitten; Heikki Joensuu; Johan Lundin
Journal:  Sci Rep       Date:  2021-02-17       Impact factor: 4.379
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