Evidence map›Paper›PMID 37370731›Full record

ArticleCancers2023

Identification of Key Elements in Prostate Cancer for Ontology Building via a Multidisciplinary Consensus Agreement.

Amy Moreno, Abhishek A Solanki, Tianlin Xu, Ruitao Lin, Jatinder Palta, Emily Daugherty, David Hong, Julian Hong, Sophia C Kamran, Evangelia Katsoulakis and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Amy MorenoDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-6762-6807
Abhishek A SolankiDepartment of Radiation Oncology, Loyola University Medical Center, Berwyn, IL 60402, USA.
Tianlin XuDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-5699-5540
Ruitao LinDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jatinder PaltaDepartment of Medical Physics, Virginia Commonwealth University, Richmond, VA 23284, USA.
Emily DaughertyDepartment of Radiation Oncology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
David HongDepartment of Radiation Oncology, University of Southern California, Los Angeles, CA 90089, USA.
Julian HongDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA 93701, USA.ORCID 0000-0001-5172-6889
Sophia C KamranDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02129, USA.
Evangelia KatsoulakisDepartment of Radiation Oncology, James A Haley VA Medical Center, Tampa, FL 33612, USA.
Kristy BrockDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-9364-5040
Mary FengDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA 93701, USA.
Clifton FullerDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-5264-3994
Charles MayoDepartment of Radiation Physics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-2030-9892
BDSC Prostate Cancer Consortium

Funding

Paul Calabresi Clinical Oncology AwardK12CA088084 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI David S. Hong, Scott Kopetz · 2000 to 2026
$14.0M
Project 3: Inhibiting Oxidative Phosphorylation in Pancreatic CancerP50CA221707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KOPETZ, SCOTT · 2019 to 2023
$11.0M
Provider and Patient-generated Remote Oro-Dental Health Electronic Data Capture for Algorithmic Longitudinal Evaluation and Risk-Assessment (PROHEALER)K01DE030524 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORENO, AMY CATHERINE · 2022 to 2024
$479k
NCI NIH HHS K12 CA088084NCI NIH HHS P50 CA221707NIDCR NIH HHS K01 DE030524
6 · The paper itself

Abstract

backgroundClinical data collection related to prostate cancer (PCa) care is often unstructured or heterogeneous among providers, resulting in a high risk for ambiguity in its meaning when sharing or analyzing data. Ontologies, which are shareable formal (i.e., computable) representations of knowledge, can address these challenges by enabling machine-readable semantic interoperability. The purpose of this study was to identify PCa-specific key data elements (KDEs) for standardization in clinic and research.

methodsA modified Delphi method using iterative online surveys was performed to report a consensus agreement on KDEs by a multidisciplinary panel of 39 PCa specialists. Data elements were divided into three themes in PCa and included (1) treatment-related toxicities (TRT), (2) patient-reported outcome measures (PROM), and (3) disease control metrics (DCM).

resultsThe panel reached consensus on a thirty-item, two-tiered list of KDEs focusing mainly on urinary and rectal symptoms. The Expanded Prostate Cancer Index Composite (EPIC-26) questionnaire was considered most robust for PROM multi-domain monitoring, and granular KDEs were defined for DCM.

conclusionsThis expert consensus on PCa-specific KDEs has served as a foundation for a professional society-endorsed, publicly available operational ontology developed by the American Association of Physicists in Medicine (AAPM) Big Data Sub Committee (BDSC).

Indexed as

clinical guidelinesinformaticsontologyprostate cancertreatment-related toxicities

Identifiers

PMID37370731
PMCPMC10295832

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.