Evidence map›Paper›PMID 40084371›Full record

ArticleAmerican journal of cancer research2025

Overcoming challenges of recruiting cancer patients into clinical trials: insights from a randomized trial of app-based smoking cessation interventions.

Margarita Santiago-Torres, Johann Lee Westmaas, Jamie S Ostroff, Kristin E Mull, Brianna M Sullivan, Joseph M Unger, Jonathan B Bricker

Abstract read
In one paragraph

Article in American journal of cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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. Trial
  2. 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

7 authors.

Margarita Santiago-TorresDivision of Public Health Sciences, Fred Hutchinson Cancer Center Seattle, WA, USA.
Johann Lee WestmaasAmerican Cancer Society Atlanta, GA, USA.
Jamie S OstroffDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering New York, NY, USA.
Kristin E MullDivision of Public Health Sciences, Fred Hutchinson Cancer Center Seattle, WA, USA.
Brianna M SullivanDivision of Public Health Sciences, Fred Hutchinson Cancer Center Seattle, WA, USA.
Joseph M UngerDivision of Public Health Sciences, Fred Hutchinson Cancer Center Seattle, WA, USA.
Jonathan B BrickerDivision of Public Health Sciences, Fred Hutchinson Cancer Center Seattle, WA, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
Quit2Heal: Rigorous Randomized Trial of a Smartphone Application to Help Cancer Patients Stop SmokingR01CA253975 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRICKER, JONATHAN B · 2020 to 2024
$3.5M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA253975NCI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

Behavioral clinical trials among cancer patients often fail to meet recruitment goals - especially for underrepresented groups. Comparing recruitment strategies on participant accrual and cost can inform the use of cost-effective recruitment strategies for enrollment of diverse populations of cancer patients. In this study, we compared social media, internet sites, and clinic-based recruitment on accrual, cost, and characteristics of cancer patients (i.e., sociodemographic, cancer type/stage, and smoking habits) enrolled in a randomized trial of app-based smoking cessation interventions. Fisher's exact tests for categorical variables and analysis of variance for continuous variables were used to compared data between recruitment strategies. In 35 months, 427 cancer patients from 45 US states enrolled in the trial out of 3,936 screened (rate of participation, 10.8%). Social media recruited over eight times the number of enrolled participants (n=340, 79.6%) compared with Internet sites (n=43, 10.1%) and clinics (n=42, 9.8%). Most (80.1%) participants were women, with mean age 52.3 years. About 20.4% of participants were from underrepresented racial/ethnic backgrounds, 23.0% were rural residents, and 23.7% were uninsured. Over 32 cancer types and all cancer stages were represented. Breast cancer was the most common diagnosis (n=129/427, 30.2%), followed by lung cancer (n=96/427, 23.8%). Internet recruitment generated a higher proportion of men (30.2% vs. 26.2% clinics vs. 17.4% social media,

Indexed as

Cancer patientscigarette smokingclinical trialsdigital behavioral interventionsrecruitmentsmartphone appssmoking cessation

Identifiers

PMID40084371
PMCPMC11897642

What OpenQuestion holds

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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.