Literature DB >> 4111472

Accuracy of predictions of survival in later stages of cancer.

C M Parkes.   

Abstract

Though 83% of 168 cancer patients admitted for "terminal care" died within 12 weeks of admission predictions of the probable length of survival showed little relation to the actual length of survival. A total of 83% of all "errors" were in an "optimistic" direction, the patient being expected to survive longer than he actually did.No significant differences were found between the accuracy of predictions made at referral by general practitioners, by doctors at other hospitals, by hospice physicians on the day of admission, or by ward sisters and senior nurses at the same time. A week after admission predicted and actual survival correlated more closely but predictions were still optimistic.It is concluded that predictions of the length of time which a cancer patient who is at the end of active treatment can be expected to survive should be made and interpreted with the greatest caution.

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Mesh:

Year:  1972        PMID: 4111472      PMCID: PMC1789062          DOI: 10.1136/bmj.2.5804.29

Source DB:  PubMed          Journal:  Br Med J        ISSN: 0007-1447


  41 in total

1.  Physicians, patients, and prognosis.

Authors:  T J Iwashyna; N A Christakis
Journal:  West J Med       Date:  2001-04

2.  Survival prediction for terminally ill cancer patients: revision of the palliative prognostic score with incorporation of delirium.

Authors:  Emanuela Scarpi; Marco Maltoni; Rosalba Miceli; Luigi Mariani; Augusto Caraceni; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2011-10-31

3.  Novel clinical staging for patients with end-stage gastrointestinal carcinoma.

Authors:  Naokuni Yasuda; Osamu Nakashima; Toru Ohnaka; Koji Kamisaka; Akira Tsunoda; Mitsuo Kusano
Journal:  Surg Today       Date:  2006       Impact factor: 2.549

4.  Validation of the Cochin Risk Index Score (CRIS) for life expectancy prediction in terminally ill cancer patients.

Authors:  Jean-Philippe Durand; Olivier Mir; Romain Coriat; Anatole Cessot; Sylvain Pourchet; François Goldwasser
Journal:  Support Care Cancer       Date:  2011-04-16       Impact factor: 3.603

5.  Can oncologists predict survival for patients with progressive disease after standard chemotherapies?

Authors:  T K Taniyama; K Hashimoto; N Katsumata; A Hirakawa; K Yonemori; M Yunokawa; C Shimizu; K Tamura; M Ando; Y Fujiwara
Journal:  Curr Oncol       Date:  2014-04       Impact factor: 3.677

Review 6.  The dying adult.

Authors:  C M Parkes
Journal:  BMJ       Date:  1998-04-25

Review 7.  Communication in end-stage cancer: review of the literature and future research.

Authors:  Elizabeth D Trice; Holly G Prigerson
Journal:  J Health Commun       Date:  2009

8.  A longitudinal study of the role of patient-reported outcomes on survival prediction of palliative cancer inpatients in Taiwan.

Authors:  Jing-An Chang; Chia-Chin Lin
Journal:  Support Care Cancer       Date:  2009-02-12       Impact factor: 3.603

9.  Model-assisted predictions on prognosis in HNSCC: do we learn?

Authors:  Marc P van der Schroeff; Kim van Schie; Ton P M Langeveld; Caspar Looman; Robert J Baatenburg de Jong
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-04-17       Impact factor: 2.503

Review 10.  Radiotherapeutic approaches to metastatic disease.

Authors:  Edward Chow; Jackson Wu; Andrew Loblaw; Carlos A Perez
Journal:  World J Urol       Date:  2003-08-09       Impact factor: 4.226

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