Evidence map›Paper›PMID 32436145›Full record

ArticleBreast cancer research and treatment2020

EndoPredict

K Almstedt, S Mendoza, M Otto, M J Battista, J Steetskamp, A S Heimes, S Krajnak, A Poplawski, A Gerhold-Ay, A Hasenburg and 2 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Genomic assays for lobular breast carcinoma.Journal of clinical and translational research · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Pharmacogenomics and personalized medicine · 2021
    Article
  14. Article
  15. 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

12 authors.

K AlmstedtDepartment of Obstetrics and Gynecology, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany. katrin.almstedt@unimedizin-mainz.de.ORCID http://orcid.org/0000-0002-4600-2410
S MendozaDepartment of Obstetrics and Gynecology, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
M OttoInstitute for Molecular Pathology, Trier, Germany.
M J BattistaDepartment of Obstetrics and Gynecology, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
J SteetskampDepartment of Obstetrics and Gynecology, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
A S HeimesDepartment of Obstetrics and Gynecology, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
S KrajnakDepartment of Obstetrics and Gynecology, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
A PoplawskiInstitute of Medical Biometry, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.
A Gerhold-AyInstitute of Medical Biometry, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.
A HasenburgDepartment of Obstetrics and Gynecology, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
C DenkertInstitute of Pathology, Philipps-University Marburg and UKGM Marburg, Marburg, Germany.
M SchmidtDepartment of Obstetrics and Gynecology, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEvaluating consecutive early breast cancer patients, we analyzed both the impact of EndoPredict

methodsHormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative early breast cancer patients treated between 2011 and 2016 were included in this study to investigate the role of EndoPredict

resultsIn a cohort of 869 consecutive early HR-positive, HER-negative breast cancer patients, EPclin was utilized in 156 (18.0%) patients. EPclin led to changes in therapy recommendations in 33.3% (n = 52), with both therapy escalation in 19.2% (n = 30) and de-escalation in 14.1% (n = 22). The clinico-pathological factors influencing the use of EPclin were age (P < 0.001, odds ratio [OR] 0.498), tumor size (P = 0.011, OR 0.071), nodal status (P = 0.021, OR 1.674), histological grade (P = 0.043, OR 0.432), and Ki-67 (P < 0.001, OR 3.599).

conclusionsEPclin led to a change in therapy recommendations in one third of the patients. Clinico-pathological parameters such as younger age, smaller tumor size, positive nodal status, intermediate histological grade and intermediate Ki-67 had a significant influence on the use of EndoPredict

Indexed as

Clinical Decision-MakingGene Expression ProfilingAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCarcinoma, LobularDecision Support TechniquesErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm InvasivenessPrognosisBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneEarly breast cancerEndocrine therapyEndoPredict®Gene expressionPrognosisTreatment decision

Identifiers

PMID32436145
PMCPMC7275019

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.