Evidence map›Paper›PMID 25733982›Full record

ArticleBreast cancer management2015

How can we best respect patient autonomy in breast cancer treatment decisions?

Kathryn A Martinez, Allison W Kurian, Sarah T Hawley, Reshma Jagsi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer management, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Observational
  12. Article
  13. Article
  14. Overview on Patient Centricity in Cancer Care.Frontiers in pharmacology · 2017
    Article
  15. Article
  16. Review
  17. 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

4 authors.

Kathryn A MartinezVA Center for Clinical Management Research, 2800 Plymouth Road, Building 16, 3rd Floor, Ann Arbor, MI 48105, USA.
Allison W KurianStanford University School of Medicine, 291 Campus Dr, Stanford, CA 94305, USA.
Sarah T Hawley *VA Center for Clinical Management Research, 2800 Plymouth Road, Building 16, 3rd Floor, Ann Arbor, MI 48105, USA.
Reshma Jagsi *Department of Radiation Oncology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109, USA.

Funding

The Challenge of Individualizing Treatments for Patients with Breast CancerP01CA163233 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOFER, TIMOTHY P. · 2012 to 2016
$13.4M
NCI NIH HHS P01 CA163233
6 · The paper itself

Abstract

Helping patients to maximize their autonomy in breast cancer decision-making is an important aspect of patient-centered care. Shared decision-making is a strategy that aims to maximize patient autonomy by integrating the values and preferences of the patient with the biomedical expertise of the physician. Application of this approach in breast cancer decision-making has not been uniform across cancer-specific interventions (e.g., surgery, chemotherapy), and in some circumstances may present challenges to evidence-based care delivery. Increasingly precise estimates of individual patients' risk of recurrence and commensurate predicted benefit from certain therapies hold significant promise in helping patients exercise autonomous decision-making for their breast cancer care, yet will also likely complicate decision-making for certain subgroups of patients.

Indexed as

breast cancerbreast-conserving surgerychemotherapyendocrine therapygenetic testingmastectomypatient autonomyshared decision-making

Identifiers

PMID25733982
PMCPMC4342843

What OpenQuestion holds

Textmetadata
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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.