Evidence map›Paper›PMID 24771945›Full record

ArticleGeburtshilfe und Frauenheilkunde2013

Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

P Sinn, S Aulmann, R Wirtz, S Schott, F Marmé, Z Varga, A Lebeau, H Kreipe, A Schneeweiss

Abstract read
In one paragraph

Article in Geburtshilfe und Frauenheilkunde, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Endometrioid Endometrial RNA Index Predicts Recurrence in Stage I Patients.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Neurooncology: 2023 update.Free neuropathology · 2023
    Article
  9. Genomic assays for lobular breast carcinoma.Journal of clinical and translational research · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

P SinnDepartment of Pathology, University of Heidelberg, Heidelberg.
S AulmannDepartment of Pathology, University of Heidelberg, Heidelberg.
R WirtzStratifyer Molecular Pathology GmbH, Köln.
S SchottDepartment of Gynaecology and Obstetrics, University of Heidelberg, Heidelberg.
F MarméDepartment of Gynaecology and Obstetrics, University of Heidelberg, Heidelberg.
Z VargaInstitute of Surgical Pathology, University Hospital Zürich, Zürich, Switzerland.
A LebeauDept. of Pathology, University Medical Canter Hamburg-Eppendorf, Hamburg.
H KreipeInstitute of Pathology, Medizinische Hochschule Hannover, Hannover.
A SchneeweissNational Center of Tumor Diseases, Heidelberg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene signatures which are based on multigene profiling assays have been developed for the purpose to better define the prognosis and prediction of therapy results in early-stage breast cancer. These assays were designed to be more specific than conventional clinico-pathologic parameters in the selection of patients for (neo-)adjuvant treatment and in effect help to avoid unnecessary cytotoxic treatment. In this review we describe molecular risk scores, for which tests are commercially available (PAM50®, MammaTyper®, MammaPrint®, Oncotype DX®, Endopredict®, Genomic Grade Index®) and IHC risk scores (Mammostrat® and IHC4), and discuss the current evidence of their clinical use.

Indexed as

breast cancermultigene assaysprognosis

Identifiers

PMID24771945
PMCPMC3859151

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.