Evidence map›Paper›PMID 40260742›Full record

ArticleThoracic cancer2025

Feasibility of Recruiting Latinos for a Lung Cancer Screening Study Through a Patient Portal.

Arlette Chávez-Iñiguez, Chris De Los Reyes, Jeffrey W Ramos-Santiago, Rafael H Orfin, Victoria Uceda, Cody Gardner, Mary Jo Evans, Scott McIntosh, David H Adler, Ana Paula Cupertino and 2 more

Abstract read
In one paragraph

Article in Thoracic cancer, 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. Article
  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

12 authors.

Arlette Chávez-IñiguezDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA.
Chris De Los ReyesDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA.
Jeffrey W Ramos-SantiagoDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA.
Rafael H OrfinDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA.
Victoria UcedaDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA.
Cody GardnerClinical and Translational Science Institute, University of Rochester Medical Center, Rochester, New York, USA.
Mary Jo EvansDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA.
Scott McIntoshDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA.
David H AdlerDepartment of Emergency Medicine, University of Rochester Medical Center, Rochester, New York, USA.
Ana Paula CupertinoDepartment of Surgery, University of Rochester Medical Center, Rochester, New York, USA.
M Patricia RiveraDepartment of Medicine, University of Rochester Medical Center, Rochester, New York, USA.
Francisco Cartujano-BarreraDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA.ORCID https://orcid.org/0000-0001-8069-1750

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
The University of Rochester's Clinical and Translational Science InstituteUL1TR000042 · NCATS · UNIVERSITY OF ROCHESTER · PI BENNETT, NANCY M, KIEBURTZ, KARL D. · 2012 to 2015
$14.4M
University of Rochester Wilmot Cancer Institute Support GrantP30CA272302 · NCI · UNIVERSITY OF ROCHESTER · PI JONATHAN W FRIEDBERG · 2025 to 2026
$6.4M
Clinical and Translational Cancer Control Research Training ProgramT32CA102618 · NCI · UNIVERSITY OF ROCHESTER · PI Michelle C Janelsins, Gary R Morrow · 2019 to 2026
$2.7M
NCATS NIH HHS UL1 TR000042NCATS NIH HHS UL1 TR002001NCI NIH HHS P30 CA272302NCI NIH HHS T32 CA102618The Prevent Cancer Foundation
6 · The paper itself

Abstract

The purpose of the present study was to assess the feasibility of recruiting Latinos for a lung cancer screening study through a patient portal. The electronic health record (EHR) at the University of Rochester Medical Center (URMC) was utilized to identify individuals with the following characteristics: (1) Hispanic/Latino ethnicity, (2) between 50 and 80 years old, (3) currently smoking, and (4) seen at URMC within the last 10 years. Identified individuals with an active account on MyChart (the patient portal at URMC) were messaged up to two times. The MyChart message, sent in both English and Spanish, invited individuals to participate in a study that aimed to increase the uptake of lung cancer screening among Latinos. A total of 1745 individuals in the EHR at URMC were identified as potentially eligible. Six hundred and sixty-eight individuals (38.3%, 668/1745) had an active MyChart account and were messaged. Forty-six individuals responded as interested in the study (the study interest rate was 6.8%, 46/668). Ten individuals were eligible and nine enrolled in the study (the overall enrollment rate was 1.3%, 9/668, and the enrollment/eligible rate was 90%, 9/10). It is feasible to recruit Latinos for a lung cancer screening study through a patient portal. The study interest, overall enrollment, and enrollment/eligible rates are promising and have the potential to inform future recruitment efforts because of their high-reach and low-cost.

Indexed as

Early Detection of CancerHispanic or LatinoLung NeoplasmsPatient SelectionAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleMiddle AgedPatient PortalsLatinoslung cancerlung cancer screeningpatient portal

Identifiers

PMID40260742
PMCPMC12012638

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.