Evidence map›Paper›PMID 23327798›Full record

ReviewChinese journal of cancer2013

Skeletal metastasis: treatments, mouse models, and the Wnt signaling.

Kenneth C Valkenburg, Matthew R Steensma, Bart O Williams, Zhendong Zhong

Abstract readReview
In one paragraph

Review in Chinese journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Effect of denosumab versus zoledronic acid on calcium levels in cancer patients with bone metastasis: A retrospective cohort study.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2019
    Article
  13. Article
  14. Review
  15. Inhibition of cancer cell migration with CuS@ mSiOInternational journal of nanomedicine · 2018
    Article
  16. Prodigiosin inhibits Wnt/β-catenin signaling and exerts anticancer activity in breast cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  17. Article
  18. Article
  19. Wnt3a: functions and implications in cancer.Chinese journal of cancer · 2015
    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

4 authors.

Kenneth C ValkenburgCenter for Skeletal Disease Research, Van Andel Research Institute, Grand Rapids, MI 49503, USA.
Matthew R Steensma
Bart O Williams
Zhendong Zhong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal metastases result in significant morbidity and mortality. This is particularly true of cancers with a strong predilection for the bone, such as breast, prostate, and lung cancers. There is currently no reliable cure for skeletal metastasis, and palliative therapy options are limited. The Wnt signaling pathway has been found to play an integral role in the process of skeletal metastasis and may be an important clinical target. Several experimental models of skeletal metastasis have been used to find new biomarkers and test new treatments. In this review, we discuss pathologic process of bone metastasis, the roles of the Wnt signaling, and the available experimental models and treatments.

Indexed as

Disease Models, AnimalDrug Delivery SystemsWnt Signaling PathwayAnimalsbeta CateninBone NeoplasmsBreast NeoplasmsFemaleHumansLung NeoplasmsMaleMiceProstatic NeoplasmsWnt Proteinsbeta CateninWnt Proteins

Identifiers

PMID23327798
PMCPMC3845601

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.