Evidence map›Paper›PMID 22406404›Full record

ReviewMolecular oncology2012

Hormonal therapy in breast cancer: a model disease for the personalization of cancer care.

Shannon Puhalla, Saveri Bhattacharya, Nancy E Davidson

Abstract readReview
In one paragraph

Review in Molecular oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Review
  7. Biofilm · 2024
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
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

3 authors.

Shannon PuhallaUniversity of Pittsburgh Cancer Institute and UPMC Cancer Centers, UPMC Cancer Pavillon, Pittsburgh, PA 15232, USA. puhallasl@upmc.edu
Saveri Bhattacharya
Nancy E Davidson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of breast cancer is driven by subtype classification, of which the assessment of hormone receptor status is one of the important determinants of therapy. The use of hormonal therapy to treat estrogen-receptor positive breast cancer has been studied for over a century and is one of the well-described uses of personalized medicine. In this review, we will describe the classification of hormone receptor status and the various endocrine treatment strategies. Opportunities for personalization of care are illustrated.

Indexed as

Precision MedicineAntineoplastic Agents, HormonalBreast NeoplasmsFemaleHumansPremenopauseReceptors, EstrogenAntineoplastic Agents, HormonalReceptors, Estrogen

Identifiers

PMID22406404
PMCPMC5528370

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.