Evidence map›Paper›PMID 24033728›Full record

ArticleBritish journal of clinical pharmacology2014

Prediction of tamoxifen outcome by genetic variation of CYP2D6 in post-menopausal women with early breast cancer.

Hiltrud Brauch, Matthias Schwab

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 44 citations in OpenAlex.

  1. Targeting Estrogen Receptor for Breast Cancer.Current issues in molecular biology · 2026
    Review
  2. Article
  3. Review
  4. CYP2D6 pharmacogenetics and phenoconversion in personalized medicine.Expert opinion on drug metabolism & toxicology · 2022
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Observational
  11. New insights into acquired endocrine resistance of breast cancer.Cancer drug resistance (Alhambra, Calif.) · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Hiltrud BrauchDr Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany; University Tuebingen, Tuebingen.
Matthias Schwab
Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The question of whether genetic polymorphisms of CYP2D6 can affect treatment outcome in patients with early post-menopausal oestrogen receptor (ER)-positive breast cancer has been a matter of debate over the past few years. In this article we revisit the hypothesis of CYP2D6 being a potential tamoxifen outcome predictor and provide detailed insight into the ongoing controversy that prevented the CYP2D6 marker from being accepted by the scientific and clinical community. We summarize the available pharmacokinetic, pharmacodynamic and pharmacogenetic evidence and resolve the controversy based on the recognized methodological and statistical issues. The cumulative evidence suggests that genotyping for CYP2D6 is clinically relevant in post-menopausal women. This is important, because the clarification of this issue has the potential to resolve a clinical management question that is relevant to hundreds of thousands of women diagnosed with ER-positive breast cancer each year, who should not be denied effective endocrine therapy.

Indexed as

Treatment OutcomeAntineoplastic Agents, HormonalBiomarkers, PharmacologicalBreast NeoplasmsCytochrome P-450 CYP2D6FemaleGenetic TestingGenotypeHumansPharmacogeneticsPolymorphism, GeneticPostmenopauseTamoxifenAntineoplastic Agents, HormonalBiomarkers, PharmacologicalCytochrome P-450 CYP2D6Tamoxifenbreast cancerCYP2D6personalized medicinepharmacogeneticspoor metabolizertamoxifen

Identifiers

PMID24033728
PMCPMC3971985
OpenAlexW1495126388

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.