Evidence map›Paper›PMID 35945621›Full record

ReviewTrials2022

Successes and lessons learned in database development for national multi-site cancer care delivery research trials: the Alliance for Clinical Trials in Oncology experience.

David Zahrieh, Shauna L Hillman, Angelina D Tan, Jennifer L Frank, Travis Dockter, Bobbi Jo Meyers, Cassie L Cherevko, Elizabeth S Peil, Shaylene McCue, Oudom Kour and 6 more

Abstract readReview
In one paragraph

Review in Trials, 2022. 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. 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

16 authors.

David ZahriehDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA. zahrieh.david@mayo.edu.
Shauna L HillmanDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Angelina D TanDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Jennifer L FrankDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Travis DockterDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Bobbi Jo MeyersDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Cassie L CherevkoDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Elizabeth S PeilDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Shaylene McCueDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Oudom KourDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Heather J GunnDepartment of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Heather B NeumanDepartment of Surgery, Division of Surgical Oncology, University of Wisconsin, School of Medicine and Public Health, Madison, WI, USA.
George J ChangDepartment of Colon and Rectal Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Electra D PaskettDepartment of Medicine, College of Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Sumithra J Mandrekar *Department of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.
Amylou C Dueck *Department of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Collaborations and NCORP Collective ManagementUG1CA189823 · NCI · MAYO CLINIC ROCHESTER · PI Evanthia Galanis, Olwen Hahn · 2014 to 2026
$120.6M
Statistics CoreU10CA180882 · NCI · MAYO CLINIC ROCHESTER · PI Sumithra Jay Mandrekar · 2014 to 2026
$115.0M
UT MD Anderson Cancer Center Network Lead Academic Participating Site (LAP) UG1UG1CA233329 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KELLY K HUNT, CHELSEA Camille PINNIX · 2019 to 2026
$11.1M
OSU as a Network Lead Academic Participating Site for the NCI NCTNUG1CA233331 · NCI · OHIO STATE UNIVERSITY · PI John L. Hays, Dwight H. Owen · 2019 to 2026
$8.9M
NCI NIH HHS P30 CA015083NCI NIH HHS U10 CA180882NCI NIH HHS UG1 CA189823NCI NIH HHS UG1 CA233329NCI NIH HHS UG1 CA233331
6 · The paper itself

Abstract

introductionAlliance for Clinical Trials in Oncology (Alliance) coordinated trials utilize Medidata Rave® (Rave) as the primary clinical data capture system. A growing number of innovative and complex cancer care delivery research (CCDR) trials are being conducted within the Alliance with the aims of studying and improving cancer-related care. Because these trials encompass patients, providers, practices, and their interactions, a defining characteristic of CCDR trials is multilevel data collection in pragmatic settings. Consequently, CCDR trials necessitated innovative strategies for database development, centralized data management, and data monitoring in the presence of these real-world multilevel relationships. Having real trial experience in working with community and academic centers, and having recently implemented five CCDR trials in Rave, we are committed to sharing our strategies and lessons learned in implementing such pragmatic trials in oncology.

methodsFive Alliance CCDR trials are used to describe our approach to analyzing the database development needs and the novel strategies applied to overcome the unanticipated challenges we encountered. The strategies applied are organized into 3 categories: multilevel (clinic, clinic stakeholder, patient) enrollment, multilevel quantitative and qualitative data capture, including nontraditional data capture mechanisms being applied, and multilevel data monitoring.

resultsA notable lesson learned in each category was (1) to seek long-term solutions when developing the functionality to push patient and non-patient enrollments to their respective Rave study database that affords flexibility if new participant types are later added; (2) to be open to different data collection modalities, particularly if such modalities remove barriers to participation, recognizing that additional resources are needed to develop the infrastructure to exchange data between that modality and Rave; and (3) to facilitate multilevel data monitoring, orient site coordinators to the their trial's multiple study databases, each corresponding to a level in the hierarchy, and remind them to establish the link between patient and non-patient participants in the site-facing NCI web-based enrollment system.

conclusionAlthough the challenges due to multilevel data collection in pragmatic settings were surmountable, our shared experience can inform and foster collaborations to collectively build on our past successes and improve on our past failures to address the gaps.

Indexed as

Data ManagementNeoplasmsClinical Trials as TopicDatabases, FactualHealth Services ResearchHumansMedical OncologyCancer care delivery researchClinical trial management and optimizationClinical trial operationsData management and monitoring

Identifiers

PMID35945621
PMCPMC9364584

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.