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  1. Article ; Online: Innovations and Opportunities for the Integration of Palliative Care in Cancer Care.

    Newport, Kristina B / Webb, Jason A

    Current problems in cancer

    2023  Volume 47, Issue 5, Page(s) 101016

    MeSH term(s) Humans ; Palliative Care ; Neoplasms/therapy
    Language English
    Publishing date 2023-09-27
    Publishing country United States
    Document type Editorial
    ZDB-ID 441816-5
    ISSN 1535-6345 ; 0147-0272
    ISSN (online) 1535-6345
    ISSN 0147-0272
    DOI 10.1016/j.currproblcancer.2023.101016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Se 549: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Prognostication and Proactive Planning in COVID-19.

    Newport, Kristina B / Malhotra, Sonia / Widera, Eric

    Journal of pain and symptom management

    2020  Volume 60, Issue 2, Page(s) e52–e55

    Abstract: Accurate prognostication is challenging in the setting of SARS-CoV-2, the virus responsible for COVID-19, due to rapidly changing data, studies that are not generalizable, and lack of morbidity and functional outcomes in survivors. To provide meaningful ... ...

    Abstract Accurate prognostication is challenging in the setting of SARS-CoV-2, the virus responsible for COVID-19, due to rapidly changing data, studies that are not generalizable, and lack of morbidity and functional outcomes in survivors. To provide meaningful guidance to patients, existing mortality data must be considered and appropriately applied. Although most people infected with SARS-CoV-2 will recover, mortality increases with age and comorbidity in those who develop severe illness.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; COVID-19 ; Child ; Child, Preschool ; Coronavirus Infections/diagnosis ; Coronavirus Infections/mortality ; Coronavirus Infections/therapy ; Humans ; Infant ; Infant, Newborn ; Middle Aged ; Palliative Care/methods ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/mortality ; Pneumonia, Viral/therapy ; Precision Medicine/methods ; Prognosis ; Young Adult
    Keywords covid19
    Language English
    Publishing date 2020-05-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639142-4
    ISSN 1873-6513 ; 0885-3924
    ISSN (online) 1873-6513
    ISSN 0885-3924
    DOI 10.1016/j.jpainsymman.2020.04.152
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2252: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: Prognostication and Proactive Planning in COVID-19

    Newport, Kristina B / Malhotra, Sonia / Widera, Eric

    J Pain Symptom Manage

    Abstract: Accurate prognostication is challenging in the setting of SARS-CoV-2, the virus responsible for COVID-19, due to rapidly changing data, studies that are not generalizable, and lack of morbidity and functional outcomes in survivors. To provide meaningful ... ...

    Abstract Accurate prognostication is challenging in the setting of SARS-CoV-2, the virus responsible for COVID-19, due to rapidly changing data, studies that are not generalizable, and lack of morbidity and functional outcomes in survivors. To provide meaningful guidance to patients, existing mortality data must be considered and appropriately applied. Although most people infected with SARS-CoV-2 will recover, mortality increases with age and comorbidity in those who develop severe illness.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #197447
    Database COVID19

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  4. Article ; Online: Prognostication and Proactive Planning in COVID-19

    Newport, Kristina B. / Malhotra, Sonia / Widera, Eric

    Journal of Pain and Symptom Management

    2020  Volume 60, Issue 2, Page(s) e52–e55

    Keywords Anesthesiology and Pain Medicine ; General Nursing ; Clinical Neurology ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 639142-4
    ISSN 0885-3924
    ISSN 0885-3924
    DOI 10.1016/j.jpainsymman.2020.04.152
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2252: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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  5. Article ; Online: Survival after palliative radiation therapy for cancer: The METSSS model.

    Zaorsky, Nicholas G / Liang, Menglu / Patel, Rutu / Lin, Christine / Tchelebi, Leila T / Newport, Kristina B / Fox, Edward J / Wang, Ming

    Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

    2021  Volume 158, Page(s) 104–111

    Abstract: Background: We propose a predictive model that identifies patients at greatest risk of death after palliative radiotherapy, and subsequently, can help medical professionals choose treatments that better align with patient choice and prognosis.: ... ...

    Abstract Background: We propose a predictive model that identifies patients at greatest risk of death after palliative radiotherapy, and subsequently, can help medical professionals choose treatments that better align with patient choice and prognosis.
    Methods: The National Cancer Database was queried for recipients of palliative radiotherapy during first course of treatment. Cox regression models and adjusted hazard ratios with 95% confidence intervals were used to evaluate survival predictors. The mortality risk index was calculated using predictors from the estimated Cox regression model, with higher values indicating higher mortality risk. Based on tertile cutpoints, patients were divided into low, medium, and high risk groups.
    Results: A total of 68,505 patients were included from 2010-2014, median age 65.7 years. Several risk factors were found to predict survival: (1) location of metastases (liver, bone, lung, and brain); (2) age; (3) tumor primary (prostate, breast, lung, other); (4) gender; (5) Charlson-Deyo comorbidity score; and (6) radiotherapy site. The median survival times were 11.66 months, 5.09 months, and 3.28 months in the low (n=22,621), medium (n=22,638), and high risk groups (n=22,611), respectively. A nomogram was created and validated to predict survival, available online, https://tinyurl.com/METSSSmodel. Harrel's C-index was 0.71 and receiver operator characteristic area under the curve was 0.76 at 4 years.
    Conclusion: We created a predictive nomogram for survival of patients receiving palliative radiotherapy during their first course of treatment (named METSSS), based on Metastases location, Elderly (age), Tumor primary, Sex, Sickness/comorbidity, and Site of radiotherapy.
    MeSH term(s) Aged ; Humans ; Male ; Neoplasms/radiotherapy ; Nomograms ; Palliative Care ; Prognosis ; Retrospective Studies
    Language English
    Publishing date 2021-02-19
    Publishing country Ireland
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 605646-5
    ISSN 1879-0887 ; 0167-8140
    ISSN (online) 1879-0887
    ISSN 0167-8140
    DOI 10.1016/j.radonc.2021.02.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1926: Show issues Location:
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