Evidence map›Paper›PMID 40080017›Full record

ArticleJAMA network open2025

Health Care Contact Days for Older Adults Enrolled in Cancer Clinical Trials.

Arjun Gupta, Cathee Till, Riha Vaidya, Dawn L Hershman, Joseph M Unger

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Time toxicity in cancer care: a systematic review of definitions and measurement methods.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Patient-, care partner-, and clinician-proposed solutions to address the time toxicity of cancer care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
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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

5 authors.

Arjun GuptaDivision of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis.
Cathee TillSWOG Statistics and Data Management Center, Fred Hutchinson Cancer Center, Seattle, Washington.
Riha VaidyaSWOG Statistics and Data Management Center, Fred Hutchinson Cancer Center, Seattle, Washington.
Dawn L HershmanDepartment of Medicine, Columbia University, New York, New York.
Joseph M UngerSWOG Statistics and Data Management Center, Fred Hutchinson Cancer Center, Seattle, Washington.

Funding

SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
NCI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

Importance: Contact days-days with health care contact outside the home-are a measure of how much of a patient's life is consumed by health care. Clinical trials, with a more uniform patient mix and protocolized care, provide a unique opportunity to assess whether burdens differ by individuals' sociodemographic backgrounds. Objective: To characterize patterns of contact days for older adults with cancer participating in clinical trials. Design, Setting, and Participants: In this cohort study, data from 6 SWOG Cancer Research Network trials across prostate, lung, and pancreatic cancers that recruited patients aged 65 years or older from 1999 to 2014 were linked with Medicare claims data. Data were analyzed from December 14, 2023, to September 26, 2024. Exposures: Demographic variables, including age, sex, self-reported race and ethnicity, and insurance status; clinical factors, such as cancer type and study-specific prognostic risk score; and social factors, such as neighborhood socioeconomic deprivation. Main Outcomes and Measures: Number of contact days, defined as number of days with contact with the health care system, percentage of health care contact days (number of contact days divided by follow-up), and sources of contact days (eg, ambulatory or inpatient) in the first 12 months after trial enrollment. Sociodemographic and clinical factors associated with contact days were examined using negative binomial regression, including an offset variable for duration of observation. Results: The study included 1429 patients (median age, 71 years [range, 65-91 years]; 1123 men [78.6%]; and 332 patients [23.5%] with rural residence). The median number of contact days was 48 (IQR, 26-71), of a median of 350 days (IQR, 178-365 days) of observation; the median percentage of contact days was 19% (IQR, 13%-29%). The most common sources of contact days were ambulatory clinician visits (median, 17 [IQR, 7-25]), tests (median, 12 [IQR, 3-24]), and treatments (median, 11 [IQR, 3-22]). A median of 70% (IQR, 50%-88%) of ambulatory contact days had only a single service performed on that day (eg, only tests). In multivariable regression, factors associated with increased contact days included age (relative risk [RR] per year, 1.02 [95% CI, 1.01-1.02]), insurance type (Medicare alone or with Medicaid or private insurance vs other: RR, 2.47 [95% CI, 2.16-2.83]), prognostic risk score (above the median vs at or below the median: RR, 1.14 [95% CI, 1.04-1.25]), and type of cancer (pancreatic vs prostate cancer: RR, 1.69 [95% CI, 1.51-1.89]; lung vs prostate cancer: RR, 1.69 [95% CI, 1.54-1.85]). Conclusions and Relevance: In this cohort study of older adults with advanced stage cancer participating in phase 3 randomized clinical trials, patients spent nearly 1 in 5 days with health care contact. These findings highlight the need to simplify trial requirements to minimize participant burden.

Indexed as

Clinical Trials as TopicNeoplasmsAgedAged, 80 and overCohort StudiesFemaleHumansMaleMedicareUnited States

Identifiers

PMID40080017
PMCPMC11907310

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.