Evidence map›Paper›PMID 28211064›Full record

ReviewJournal of surgical oncology2017

Selecting postoperative adjuvant systemic therapy for early stage breast cancer: A critical assessment of commercially available gene expression assays.

David M Hyams, Eric Schuur, Javier Angel Aristizabal, Juan Enrique Bargallo Rocha, Cesar Cabello, Roberto Elizalde, Laura García-Estévez, Henry L Gomez, Artur Katz, Aníbal Nuñez De Pierro

Abstract readReview
In one paragraph

Review in Journal of surgical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. ELOVL5 Regulates Ferroptosis in Breast Cancer Cells.Doklady. Biochemistry and biophysics · 2025
    Article
  2. Article
  3. Review
  4. Effect of the Expression ofFrontiers in genetics · 2021
    Article
  5. Review
  6. Novel Predictors of Breast Cancer Survival Derived from miRNA Activity Analysis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Article
  7. 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

10 authors.

David M HyamsDesert Surgical Oncology, Eisenhower Medical Center, Rancho Mirage, California.
Eric SchuurVMWA LLC, Palo Alto, California.
Javier Angel AristizabalInstituto Nacional de Cancerología, Bogota, Colombia.
Juan Enrique Bargallo RochaInstituto Nacional de Cancerología, Mexico City, Mexico.
Cesar CabelloUniversidade Estadual de Campinas, Campinas, Brazil.
Roberto ElizaldeHospital Dr. Ignacio Pirovano, Buenos Aires, Argentina.
Laura García-EstévezCentro Integral Oncológico Comprensivo Clara Campal, Madrid, Spain.
Henry L GomezInstituto Nacional de Enfermedades Neoplásicas, Lima, Peru.
Artur KatzHospital Sírio-Libanes, Sao Paulo, Brazil.
Aníbal Nuñez De PierroHospital Dr. Juan A. Fernandez, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk stratification of patients with early stage breast cancer may support adjuvant chemotherapy decision-making. This review details the development and validation of six multi-gene classifiers, each of which claims to provide useful prognostic and possibly predictive information for early stage breast cancer patients. A careful assessment is presented of each test's analytical validity, clinical validity, and clinical utility, as well as the quality of evidence supporting its use.

Indexed as

Breast NeoplasmsChemotherapy, AdjuvantFemaleGene Expression ProfilingHumansRandomized Controlled Trials as TopicReproducibility of Resultsadjuvantbiomarkersbreast neoplasmschemotherapyclinical decision-makinggene expressiongenomics riskprognosistumor

Identifiers

PMID28211064
PMCPMC5484338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.