Literature DB >> 20008598

How long have I got?

Cornelius J Woelk1.   

Abstract

Mesh：

Year:  2009        PMID： 20008598      PMCID： PMC2793224     

Source DB:  PubMed          Journal:  Can Fam Physician        ISSN： 0008-350X            Impact factor:   3.275


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  7 in total

1.  Doc, how much time do I have?

Authors:  C L Loprinzi; M E Johnson; G Steer
Journal:  J Clin Oncol       Date:  2000-02       Impact factor: 44.544

2.  Successful validation of the palliative prognostic score in terminally ill cancer patients. Italian Multicenter Study Group on Palliative Care.

Authors:  M Maltoni; O Nanni; M Pirovano; E Scarpi; M Indelli; C Martini; M Monti; E Arnoldi; L Piva; A Ravaioli; G Cruciani; R Labianca; D Amadori
Journal:  J Pain Symptom Manage       Date:  1999-04       Impact factor: 3.612

Review 3.  A systematic review of prognostic tools for estimating survival time in palliative care.

Authors:  Francis Lau; Denise Cloutier-Fisher; Craig Kuziemsky; Fraser Black; Michael Downing; Elizabeth Borycki; Francis Ho
Journal:  J Palliat Care       Date:  2007       Impact factor: 2.250

4.  Palliative performance scale (PPS): a new tool.

Authors:  F Anderson; G M Downing; J Hill; L Casorso; N Lerch
Journal:  J Palliat Care       Date:  1996       Impact factor: 2.250

5.  A new palliative prognostic score: a first step for the staging of terminally ill cancer patients. Italian Multicenter and Study Group on Palliative Care.

Authors:  M Pirovano; M Maltoni; O Nanni; M Marinari; M Indelli; G Zaninetta; V Petrella; S Barni; E Zecca; E Scarpi; R Labianca; D Amadori; G Luporini
Journal:  J Pain Symptom Manage       Date:  1999-04       Impact factor: 3.612

6.  Improved accuracy of physicians' survival prediction for terminally ill cancer patients using the Palliative Prognostic Index.

Authors:  T Morita; J Tsunoda; S Inoue; S Chihara
Journal:  Palliat Med       Date:  2001-09       Impact factor: 4.762

Review 7.  How accurate are physicians' clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review.

Authors:  E Chow; T Harth; G Hruby; J Finkelstein; J Wu; C Danjoux
Journal:  Clin Oncol (R Coll Radiol)       Date:  2001       Impact factor: 4.126
  7 in total
  1 in total

1.  Protocol for the ORaClES study: an online randomised controlled trial to improve clinical estimates of survival using a training resource for medical students.

Authors:  Linda Oostendorp; Nicola White; Priscilla Harries; Sarah Yardley; Christopher Tomlinson; Federico Ricciardi; Hulya Gokalp; Patrick Stone
Journal:  BMJ Open       Date:  2019-03-03       Impact factor: 2.692
  1 in total

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