Evidence map›Paper›PMID 37851942›Full record

ArticleJCO clinical cancer informatics2023

Exploring Breast Cancer Systemic Drug Therapy Patterns in Real-World Data.

Julia O'Rourke, Jeff Warnick, John Doole, Luc De Keyser, Zuzanna Drebert, Olivia Wan, Courtney N Thompson, Jack W London, Karen Fairchild, Matvey B Palchuk

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Impact of anthracyclines in genomic high-risk, node-negative, HR-positive/HER2-negative breast cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2025
    Article
  3. 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

10 authors.

Julia O'RourkeTriNetX, LLC, Cambridge, MA.ORCID 0000-0002-5926-1489
Jeff WarnickTriNetX, LLC, Cambridge, MA.
John DooleTriNetX, LLC, Cambridge, MA.
Luc De KeyserTriNetX, LLC, Cambridge, MA.
Zuzanna DrebertTriNetX, LLC, Cambridge, MA.
Olivia WanTriNetX, LLC, Cambridge, MA.
Courtney N ThompsonTriNetX, LLC, Cambridge, MA.
Jack W LondonDepartment of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0001-5252-412X
Karen FairchildTriNetX, LLC, Cambridge, MA.
Matvey B PalchukTriNetX, LLC, Cambridge, MA.ORCID 0000-0002-7737-8752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore medications and their administration patterns in real-world patients with breast cancer.

methodsA retrospective study was performed using TriNetX, a federated network of deidentified, Health Insurance Portability and Accountability Act-compliant data from 21 health care organizations across North America. Patients diagnosed with breast cancer between January 1, 2013, and May 31, 2022, were included. We investigated a rule-based and unsupervised learning algorithm to extract medications and their administration patterns. To group similar administration patterns, we used three features in k-means clustering: total number of administrations, median number of days between administrations, and standard deviation of the days between administrations. We explored the first three lines of therapy for patients classified into six groups on the basis of their stage at diagnosis (early as stages I-III

resultsIn early-stage HR+/

conclusionAlthough there is a general agreement with the NCCN Guidelines, real-world medication data exhibit variability in the medications and their administration patterns.

Indexed as

Breast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsCyclophosphamideDocetaxelFemaleHumansRetrospective StudiesCyclophosphamideDocetaxel

Identifiers

PMID37851942
PMCPMC10642877

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.