Evidence map›Paper›PMID 26379446›Full record

ReviewBreast cancer (Dove Medical Press)2015

Taxanes in the elderly patient with metastatic breast cancer.

Denise A Yardley

Erratum issuedAbstract readReview
In one paragraph

Review in Breast cancer (Dove Medical Press), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. An insight into the therapeutic effects of isoliquiritigenin in breast cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Denise A YardleySarah Cannon Research Institute, Nashville, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 40% of all breast cancer cases are diagnosed in patients aged ≥65 years, accounting for an ever-increasing disease burden in the elderly. Historically, however, this growing population of breast cancer patients has been underrepresented in clinical trials, resulting in a paucity of data that clinicians can reference in making treatment decisions for their older patients. A consequence may be the undertreatment of elderly patients, who have the highest incidence of breast cancer. However, subgroup analyses of elderly patients in multiple early-Phase (I or II) studies and a handful of small studies with elderly-specific populations have suggested that older patients may experience similar benefit from cancer therapy as younger patients with otherwise similar baseline characteristics. Although steps should be taken to avoid undertreating older patients, a balance must be achieved to avoid overtreatment. Guidelines have been released detailing recommendations for the treatment of elderly breast cancer patients, including a discussion of various geriatric assessments that might aid physicians in selecting patients appropriate for recommended treatment options. Chemotherapy remains a key component of treatment regimens for many older patients. However, the benefit of some agents may be limited by tolerability issues. Taxanes, one of the most established classes of chemotherapy for breast cancer, are known to be highly active and efficacious and to have well-characterized safety profiles. This review discusses factors that influence treatment choices for elderly patients with metastatic breast cancer, and then focuses on clinical data for taxanes in this patient population.

Indexed as

breast cancerchemotherapyelderlytaxanetreatment guidelines

Identifiers

PMID26379446
PMCPMC4567240

What OpenQuestion holds

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LicenceCC BY-NC
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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.