Evidence map›Paper›PMID 36672606›Full record

ReviewBiomedicines2022

The Prognostic and Predictive Value of Genomic Assays in Guiding Adjuvant Breast Radiation Therapy.

Sasha J Beyer, Miranda Tallman, Sachin R Jhawar, Julia R White, Jose G Bazan

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 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
0.5field-weighted citation impact, top 41% of its field
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, 5 citations in OpenAlex.

  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

5 authors at 3 institutions in 1 country.

Sasha J BeyerDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Miranda TallmanDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Sachin R JhawarDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.ORCID 0000-0001-8604-4757
Julia R WhiteDepartment of Radiation Oncology, The University of Kansas Medical Center, Kansas City, KS 66160, USA.
Jose G BazanDepartment of Radiation Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA.
The Ohio State University Wexner Medical Center · USCity of Hope · USUniversity of Kansas Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many patients with non-metastatic breast cancer benefit from adjuvant radiation therapy after lumpectomy or mastectomy on the basis of many randomized trials. However, there are many patients that have such low risks of recurrence after surgery that de-intensification of therapy by either reducing the treatment volume or omitting radiation altogether may be appropriate options. On the other hand, dose intensification may be necessary for more aggressive breast cancers. Until recently, these treatment decisions were based solely on clinicopathologic factors. Here, we review the current literature on the role of genomic assays as prognostic and/or predictive biomarkers to help guide adjuvant radiation therapy decision-making.

Indexed as

breast cancergenomic assaysradiation therapy

Identifiers

PMID36672606
PMCPMC9855532
OpenAlexW4313316849

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.