Evidence map›Paper›PMID 31238109›Full record

ArticleJournal of biomedical informatics2019

HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model.

Jeremy L Warner, Dmitry Dymshyts, Christian G Reich, Michael J Gurley, Harry Hochheiser, Zachary H Moldwin, Rimma Belenkaya, Andrew E Williams, Peter C Yang

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
–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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Completeness of Common Data Elements for Breast Cancer Clinical Trials in Observational Databases.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  7. Review
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  15. LeafAI: query generator for clinical cohort discovery rivaling a human programmer.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  16. Article
  17. Review
  18. Pilot study of a European oncology regimen reference library and matching algorithm.European journal of hospital pharmacy : science and practice · 2023
    Article
  19. Article
  20. 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

9 authors.

Jeremy L WarnerVanderbilt University Medical Center, Nashville, TN, United States; HemOnc.org, LLC, Lexington, MA, United States. Electronic address: jeremy.warner@vumc.org.
Dmitry DymshytsOdysseus Data Services, Inc., Cambridge, MA, United States.
Christian G ReichIQVIA, Cambridge, MA, United States.
Michael J GurleyNorthwestern University, Chicago, IL, United States.
Harry HochheiserUniversity of Pittsburgh, Pittsburgh, PA, United States.
Zachary H MoldwinUniversity of Illinois at Chicago College of Pharmacy, Chicago, IL, United States.
Rimma BelenkayaMemorial Sloan Kettering Cancer Center, New York, NY, United States.
Andrew E WilliamsTufts University, Medford, MA, United States.
Peter C YangHemOnc.org, LLC, Lexington, MA, United States; Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Cancer Deep Phenotype Extraction from Electronic Medical RecordsU24CA184407 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SAVOVA, GUERGANA K. · 2014 to 2018
$4.4M
Advancing Cancer Pharmacoepidemiology Research Through EHRs and InformaticsU24CA194215 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI TAO, CUI, YANG, PING · 2016 to 2020
$3.3M
Network Analysis for a Data-Driven Approach to Cancer CareU01CA231840 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WARNER, JEREMY LYLE · 2018 to 2020
$1.2M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA231840NCI NIH HHS U24 CA184407NCI NIH HHS U24 CA194215
6 · The paper itself

Abstract

Systematic application of observational data to the understanding of impacts of cancer treatments requires detailed information models allowing meaningful comparisons between treatment regimens. Unfortunately, details of systemic therapies are scarce in registries and data warehouses, primarily due to the complex nature of the protocols and a lack of standardization. Since 2011, we have been creating a curated and semi-structured website of chemotherapy regimens, HemOnc.org. In coordination with the Observational Health Data Sciences and Informatics (OHDSI) Oncology Subgroup, we have transformed a substantial subset of this content into the OMOP common data model, with bindings to multiple external vocabularies, e.g., RxNorm and the National Cancer Institute Thesaurus. Currently, there are >73,000 concepts and >177,000 relationships in the full vocabulary. Content related to the definition and composition of chemotherapy regimens has been released within the ATHENA tool (athena.ohdsi.org) for widespread utilization by the OHDSI membership. Here, we describe the rationale, data model, and initial contents of the HemOnc vocabulary along with several use cases for which it may be valuable.

Indexed as

AlgorithmsAntineoplastic AgentsDatabases, FactualHematologyHumansInternetMedical InformaticsMedical OncologyNational Cancer Institute (U.S.)NeoplasmsSocieties, MedicalSoftwareTerminology as TopicUnited StatesVocabularyAntineoplastic AgentsKnowledge engineeringNeoplasmsOntologies

Identifiers

PMID31238109
PMCPMC6697579

What OpenQuestion holds

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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.