Evidence map›Paper›PMID 35719868›Full record

ArticleJTO clinical and research reports2022

Functional Trajectories and Resilience Among Adults With Advanced Lung Cancer.

Carolyn J Presley, Nicole A Arrato, Peter G Shields, David P Carbone, Melisa L Wong, Jason Benedict, Sarah A Reisinger, Ling Han, Thomas M Gill, Heather Allore and 2 more

Open access · goldAbstract read
In one paragraph

Article in JTO clinical and research reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Lung cancer patients' illness perceptions: Prognostic for psychological and physical health trajectories.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Carolyn J PresleyDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
Nicole A ArratoDepartment of Psychology, The Ohio State University, Columbus, Ohio.
Peter G ShieldsDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
David P CarboneDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
Melisa L WongDivision of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, California.
Jason BenedictDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
Sarah A ReisingerDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
Ling HanDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
Thomas M GillSection of Geriatric Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Heather AlloreSection of Geriatric Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Barbara L AndersenDepartment of Psychology, The Ohio State University, Columbus, Ohio.
Sarah JanseDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
The Ohio State University · USYale University · USUniversity of California, San Francisco · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
Translational Training Grant in Experimental TherapeuticsK12CA133250 · NCI · OHIO STATE UNIVERSITY · PI WILLIAM E. CARSON, Rosa Lapalombella · 2008 to 2026
$15.0M
Advancing patient-centered decision making in older adults with lung cancer: Incorporating risk of functional decline into treatment discussionsK76AG064431 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WONG, MELISA L · 2019 to 2023
$1.3M
Resiliency among Older Adults Receiving Lung Cancer Treatment: A Supportive Care Intervention StudyK76AG074923 · NIA · OHIO STATE UNIVERSITY · PI PRESLEY, CAROLYN · 2021 to 2025
$1.2M
Resiliency Among Older Adults Receiving Lung Cancer Treatment (ROAR-LCT): A Pilot Intervention StudyR03AG064374 · NIA · OHIO STATE UNIVERSITY · PI PRESLEY, CAROLYN · 2019 to 2020
$232k
NCATS NIH HHS UL1 TR001863NCI NIH HHS K12 CA133250NCI NIH HHS P30 CA016058NIA NIH HHS K76 AG064431NIA NIH HHS K76 AG074923NIA NIH HHS P30 AG021342NIA NIH HHS P30 AG044281NIA NIH HHS R03 AG064374
6 · The paper itself

Abstract

Introduction: To evaluate whether and the degree to which patients with advanced NSCLC (aNSCLC) receiving lung cancer treatments will experience functional disability or have resilience and to identify characteristics associated with functional disability. Methods: We evaluated longitudinal data of patients with aNSCLC receiving treatment in the Beating Lung Cancer in Ohio prospective cohort study. Disability versus resilience in functional status (usual activities, mobility, and self-care) was measured monthly for 8 months using the EuroQol-5D-5L. Data captured included baseline demographics (Eastern Cooperative Oncology Group performance status), comorbidities, cancer and depressive symptoms (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder-7 scale), and cancer stress (impact of events). Group-based latent class trajectory modeling was used to determine clinically distinct functional disability trajectories jointly with attrition probability (death or withdrawal) in the study period. Results: Among 207 participants, the mean age was 63.5 years (range: 34-92 y), 58.9% were male, 6.8% were African American or Black, 73.3% were former smokers, and 35% resided in rural areas. At baseline, participants had adenocarcinoma histological subtype (74.9%), 40.3% had brain metastases, and 46.1% had bone metastases. Participants received chemotherapy plus immunotherapy (46.9%), immunotherapy single agent (21.7%), targeted treatments (18.8%), or no treatment (12.6%). Three distinct functional trajectory groups were identified, as follows: none/mild (n = 79, 38.2%), moderate (n = 99, 47.8%), and severe disability (n = 29, 14.0%). Characteristics associated with severe disability included baseline Eastern Cooperative Oncology Group performance status greater than 1, worse dyspnea and pain, and higher Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 scale scores. At month 8, 95 participants (45.9%) displayed resilience, 11 (5.3%) experienced functional decline, and 69 (33.3%) were deceased. Conclusions: We identified three distinct functional trajectories among patients with aNSCLC. Risk stratification tools and targeted interventions designed to target these three groups are needed to improve functional resilience and prevent disability.

Indexed as

DisabilityFunctional statusImmunotherapyLung cancerTargeted kinase inhibitors

Identifiers

PMID35719868
PMCPMC9198463
OpenAlexW4280582185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.