Evidence map›Paper›PMID 35815320›Full record

ArticleJTO clinical and research reports2022

Brief Report: Implementation of a Universal Prescreening Protocol to Increase Recruitment to Lung Cancer Studies at a Veterans Affairs Cancer Center.

Jenny J Xiang, Alicia Roy, Christine Summers, Monica Delvy, Jessica O'Donovan, John Christensen, Christopher Dwy, Lydia Perry, Donna Connery, Michal G Rose 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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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.

Jenny J XiangDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Alicia RoyVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Christine SummersVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Monica DelvyVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Jessica O'DonovanVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
John ChristensenVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Christopher DwyVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Lydia PerryVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Donna ConneryVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Michal G RoseVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Kelsey SheehanVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
Herta H ChaoVA Connecticut Healthcare System Comprehensive Cancer Center, West Haven, Connecticut.
VA Connecticut Healthcare System · USYale Cancer Center · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Neurocognitive Changes from Long-Term Androgen Deprivation Therapy in Prostate Cancer PatientsR01CA218501 · NCI · YALE UNIVERSITY · PI CHAO, HERTA HUEY-AN · 2018 to 2023
$1.9M
Effects of ADT on motivation and emotion function in prostate cancer patients: longitudinal imaging and predictionI01CX001301 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI Herta Huey-An Chao · 2017 to 2026
–
CSRD VA I01 CX001301NCATS NIH HHS UL1 TR001863NCI NIH HHS R01 CA218501
6 · The paper itself

Abstract

Introduction: The oncology clinical trial recruitment process is time, labor, and resource intensive, and poor accrual rates are common. We describe the VA Connecticut Cancer Center experience of implementing a standardized, universal prescreening protocol and its impact on thoracic oncology research recruitment. Methods: Research coordinators prescreened potentially eligible patients with confirmed or suspected cancer from multiple clinical sources and entered relevant patient and research study information into a centralized electronic database. The database provided real-time lists of potential studies for each patient. This enabled the research team to alert the patient's oncologist in advance of clinic visits and to prepare documents needed for enrollment. Clinicians could ensure sufficient time and attention in clinic to the informed consent process, therefore maximizing enrollment opportunities. Patients were also monitored on waitlists for future studies. Results: From March 2017 to December 2020, a total of 1518 patients with lung nodules and suspected or confirmed lung cancers were prescreened. Of these, 379 patients were enrolled to a study, 103 patients declined participation, and 639 were monitored for future studies. Our prescreening protocol identified all new patients with lung cancer who were ultimately added to the cancer registry. We found a substantial increase in study enrollment after prescreening implementation. Conclusions: Universal prescreening was associated with improved patient enrollment to thoracic oncology studies. The protocol was integral in our VA becoming the top accruing VA site for National Cancer Institute's National Clinical Trials Network studies for 2019 to 2021.

Indexed as

AccrualClinical trialLung cancerRecruitment

Identifiers

PMID35815320
PMCPMC9256656
OpenAlexW4281888807

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.