Evidence map›Paper›PMID 38911592›Full record

ArticleFrontiers in aging2024

The FITNESS study: longitudinal geriatric assessment, treatment toxicity, and biospecimen collection to assess functional disability among older adults with lung cancer.

Madison Grogan, Rebecca Hoyd, Jason Benedict, Sarah Janse, Nyelia Williams, Michelle Naughton, Christin E Burd, Electra D Paskett, Ashley Rosko, Daniel J Spakowicz and 1 more

Abstract read
In one paragraph

Article in Frontiers in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

11 authors.

Madison GroganDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States.
Rebecca HoydDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States.
Jason BenedictCenter for Biostatistics, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
Sarah JanseCenter for Biostatistics, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
Nyelia WilliamsDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States.
Michelle NaughtonDivision of Cancer Prevention and Control, Department of Medicine, College of Medicine, and The Ohio State University Comprehensive Cancer Center, The Ohio State University Columbus, OH, United States.
Christin E BurdPelotonia Institute for Immuno-Oncology, The Ohio State University James Comprehensive Cancer Center-James Cancer Hospital and Solove Research Institute, Columbus, OH, United States.
Electra D PaskettDivision of Cancer Prevention and Control, Department of Medicine, College of Medicine, and The Ohio State University Comprehensive Cancer Center, The Ohio State University Columbus, OH, United States.
Ashley RoskoDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States.
Daniel J Spakowicz *Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States.
Carolyn J Presley *Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

Introduction: Older adults with chronic disease prioritize functional independence. We aimed to describe the feasibility of capturing functional disability and treatment toxicity among older adults with lung cancer using a longitudinal comprehensive geriatric assessment (CGA) and molecular biomarkers of aging. Methods: This prospective study included adults ≥60 years with any newly diagnosed non-small-cell lung cancer. Participants were recruited from central Ohio (2018-2020). Study assessments included the Cancer and Aging Research Group CGA (CARG-CGA), short physical performance battery (SPPB), and the blessed orientation-memory concentration (BOMC) test at baseline, 3, 6, and 12 months. Activities of daily living (ADLs) and instrumental ADLs (IADLs), quality of life (QoL, PROMIS 10), and treatment toxicity were captured monthly. Stool and blood were collected to characterize the gut microbiome and age-related blood biomarkers. Results: This study enrolled 50 participants with an average age of 71.7 years. Ninety-two percent of participants were Caucasian, 58% were male, and all were non-Hispanic. Most had advanced stage (stage III/IV: 90%; stage I/II: 10%), with adenocarcinoma the predominant histologic subtype (68% vs. 24% squamous). First-line treatments included chemotherapy (44%), immune checkpoint inhibitors (ICIs, 22%), chemotherapy and ICIs (30%), or tyrosine kinase inhibitors (4%). The median baseline CARG toxicity score was 8 (range 2-12). Among patients with treatment-related toxicity ( Discussion: A longitudinal CGA and biomarker collection is feasible among older adults undergoing lung cancer treatment. Gut microbe and T cell gene expression changes correlated with subjective and objective functional status assessments. Future research will test causality in these associations to improve outcomes through novel supportive care interventions to prevent functional disability.

Indexed as

agingbiomarkersfunctional declinelung cancermicrobiomenovel treatments

Identifiers

PMID38911592
PMCPMC11190321

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.