Evidence map›Paper›PMID 30076279›Full record

ArticleThe oncologist2019

Impact of Genomic Assay Testing and Clinical Factors on Chemotherapy Use After Implementation of Standardized Testing Criteria.

Kelsey H Natsuhara, Katya Losk, Tari A King, Nancy U Lin, Kristen Camuso, Mehra Golshan, Stephen Pochebit, Jane E Brock, Craig A Bunnell, Rachel A Freedman

Abstract read
In one paragraph

Article in The oncologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Real-World Implications of the SOUND Trial.Annals of surgical oncology · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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.

Kelsey H NatsuharaHarvard Medical School, Boston, Massachusetts, USA kelseynatsuhara@post.harvard.edu.ORCID 0000-0002-7352-7028
Katya LoskDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Tari A KingSurgical Oncology, Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, Massachusetts, USA.
Nancy U LinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Kristen CamusoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Mehra GolshanSurgical Oncology, Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, Massachusetts, USA.
Stephen PochebitDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Jane E BrockDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Craig A BunnellDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Rachel A FreedmanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor clinically appropriate early-stage breast cancer patients, reflex criteria for Oncotype DX ordering ("the intervention") were implemented at our comprehensive cancer center, which reduced time-to-adjuvant chemotherapy initiation. Our objective was to evaluate Oncotype DX ordering practices and chemotherapy use before and after implementation of the intervention. MATERIALS AND

methodsWe examined medical records for 498 patients who had definitive breast cancer surgery at our center. The post-intervention cohort consisted of 232 consecutive patients who had Oncotype DX testing after reflex criteria implementation. This group was compared to a retrospective cohort of 266 patients who were diagnosed and treated prior to reflex criteria implementation, including patients who did and did not have Oncotype DX ordered. Factors associated with Oncotype DX ordering pre- and post-intervention were examined. We used multivariate logistic regression to evaluate factors associated with chemotherapy receipt among patients with Oncotype DX testing.

resultsThe distribution of Oncotype DX scores, the proportion of those having Oncotype DX testing (28.9% vs. 34.1%) and those receiving chemotherapy (14.3% vs. 19.4%), did not significantly change between pre- and post-intervention groups. Age ≤65 years, stage II, grade 2, 1-3+ nodes, and tumor size >2 cm were associated with higher odds of Oncotype DX testing. Among patients having Oncotype DX testing, node status and Oncotype DX scores were significantly associated with chemotherapy receipt.

conclusionOur criteria for reflex Oncotype DX ordering appropriately targeted patients for whom Oncotype DX would typically be ordered by providers. No significant change in the rate of Oncotype DX ordering or chemotherapy use was observed after reflex testing implementation. IMPLICATIONS FOR PRACTICE: This study demonstrates that implementing multidisciplinary consensus reflex criteria for Oncotype DX ordering maintains a stable Oncotype DX ordering rate and chemotherapy rate, mirroring what was observed in a specific clinical practice, while decreasing treatment delays due to additional testing. These reflex criteria appropriately capture patients who would likely have had Oncotype DX ordered by their providers and for whom the test results are predicted to influence management. This intervention serves as a potential model for other large integrated, multidisciplinary oncology centers to institute processes targeting patient populations most likely to benefit from genomic assay testing, while mitigating treatment delays.

Indexed as

AgedAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantClinical Decision-MakingConsensusErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingGenetic TestingHumansMastectomyMedical RecordsMiddle AgedNeoadjuvant TherapyNeoplasm Recurrence, LocalERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneBreast cancerGenomic assaysQuality improvement

Identifiers

PMID30076279
PMCPMC6516114

What OpenQuestion holds

Textmetadata
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.