Accuracy of survival prediction by palliative radiation oncologists.
about
ENT COBRA (Consortium for Brachytherapy Data Analysis): interdisciplinary standardized data collection system for head and neck patients treated with interventional radiotherapy (brachytherapy)Commentary: "the Lake Wobegon effect, a natural human tendency to overestimate one's capabilities" (Wikipedia)Standardized data collection to build prediction models in oncology: a prototype for rectal cancer.Index to predict 5-year mortality of community-dwelling adults aged 65 and older using data from the National Health Interview SurveyModel-assisted predictions on prognosis in HNSCC: do we learn?Predicting compliance and survival in palliative whole-brain radiotherapy for brain metastases.Watchful waiting for localized prostate cancer in the PSA era: what have been the triggers for intervention?Predicting 7-day survival using heart rate variability in hospice patients with non-lung cancers.The accuracy of probabilistic versus temporal clinician prediction of survival for patients with advanced cancer: a preliminary reportHow radiation oncologists evaluate and incorporate life expectancy estimates into the treatment of palliative cancer patients: a survey-based study.A systematic literature review of life expectancy prediction tools for patients with localized prostate cancer30 day mortality in adult palliative radiotherapy--A retrospective population based study of 14,972 treatment episodes.Utilization of palliative radiotherapy for bone metastases near end of life in a population-based cohortPredicting Life Expectancy in Men Diagnosed with Prostate Cancer.A Systematic Review of Predictions of Survival in Palliative Care: How Accurate Are Clinicians and Who Are the Experts?Challenging the 10-year rule: The accuracy of patient life expectancy predictions by physicians in relation to prostate cancer managementPrediction of life expectancy in patients with spinal epidural metastasis.A prospective study comparing the predictions of doctors versus models for treatment outcome of lung cancer patients: a step toward individualized care and shared decision making.Life tables adjusted for comorbidity more accurately estimate noncancer survival for recently diagnosed cancer patients.Challenges of managing elderly men with prostate cancer.Palliative radiotherapy at the end of life: a critical review.Life expectancy estimation in prostate cancer patients.External validation of a model to predict the survival of patients presenting with a spinal epidural metastasis.Efficacy of radiotherapy for painful bone metastases during the last 12 weeks of life: results from the Dutch Bone Metastasis Study.Validation of a Predictive Model for Survival in Patients With Advanced Cancer: Secondary Analysis of RTOG 9714.Accuracy of Oncologists' Life-Expectancy Estimates Recalled by Their Advanced Cancer Patients: Correlates and Outcomes.Agreement between patients' and radiation oncologists' cancer diagnosis and prognosis perceptions: A cross sectional study in Japan.Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives
P2860
Q27007797-9118C6B1-4C19-4C99-A342-88D247ED6EDDQ28660929-DB83D154-FFDF-4222-9AE1-7440CAFCE5F9Q31032455-CDEF597A-CF67-40A9-9419-8BDAA92C2226Q33489681-20904804-3D37-49C4-88B7-C8E6C53D8292Q34013466-A360E6AE-F2BC-4B09-B548-AAD9C2DAB3A3Q34134011-0F4CEB92-7C64-4DAC-9265-B4180607F2C0Q34861407-C3AB5FA0-1CC3-48CC-B7FC-8D834AEC6047Q34920267-7C3F413A-B1BF-462D-88A3-14218F708107Q35599834-90C56F42-58AE-4288-B5CE-6401DF62E169Q35619251-F1F6966E-A54E-48B4-893F-531775E6FDB8Q35852490-088B19B1-68D5-43BE-B94A-82BD572A45F3Q35856616-36933A9F-7559-4850-B396-89D3AB7C818DQ35889420-57B26BAF-04EE-46A9-A275-37B899B4433EQ36093830-10736FED-543D-4434-8D6A-E4A3B191CF7BQ36112833-E66A9726-5A7C-4952-8BE5-CCBC040FA7EFQ36338822-FF2A0B26-1EE3-4E2B-9844-603291AF8351Q36367426-67C2255F-7DFE-4BB1-A94D-3566A2EE7337Q36950544-6E4E3867-A95E-45B4-BE91-19FE532B6C04Q37601809-1449D6BC-2397-4F23-A7D4-70B90771115CQ38211358-DB75E09C-AD10-423B-9A55-7F617BF36316Q38231942-4F2C4674-EC48-498E-BB5A-C441B65DBD42Q42410070-A453BE3E-4818-4C21-982D-74E6C28783E3Q43477572-3C4F2A4F-3D4C-4BFC-A59A-86BC68F96122Q44522870-6BF46B9C-BD68-455C-BF2E-46DE12820EF2Q46158598-844154AD-C550-430D-8D7A-3C572EE3F977Q51832427-D4BA37AB-7B42-47EE-BB8D-7D87CD0B38E8Q55294876-380CA83F-C284-4FDE-B43D-5962FC1CF69BQ56873456-765EF546-1347-45C1-B366-A08DEF343A35
P2860
Accuracy of survival prediction by palliative radiation oncologists.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
Accuracy of survival prediction by palliative radiation oncologists.
@en
type
label
Accuracy of survival prediction by palliative radiation oncologists.
@en
prefLabel
Accuracy of survival prediction by palliative radiation oncologists.
@en
P2093
P1476
Accuracy of survival prediction by palliative radiation oncologists
@en
P2093
Andrew Loblaw
Charles Hayter
Cyril Danjoux
Edward Chow
Ewa Szumacher
Lori Davis
Tony Panzarella
P304
P356
10.1016/J.IJROBP.2004.07.697
P407
P577
2005-03-01T00:00:00Z