Evidence map›Paper›PMID 24665205›Full record

ReviewCancer growth and metastasis2013

Animal cancer models of skeletal metastasis.

Catherine Hibberd, Davina A F Cossigny, Gerald M Y Quan

Open access · hybridAbstract readReview
In one paragraph

Review in Cancer growth and metastasis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Enhanced Bone Metastases in Skeletally Immature Mice.Tomography (Ann Arbor, Mich.) · 2018
    Article
  4. Article
  5. Metastatic human breast cancer to the spine produces mechanical hyperalgesia and gait deficits in rodents.The spine journal : official journal of the North American Spine Society · 2017
    Article
  6. Article
  7. Review
  8. Article
  9. 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 at 1 institution in 1 country.

Catherine HibberdSpinal Biology Research Laboratory, University of Melbourne, Department of Surgery, Austin Health, Heidelberg Victoria 3084, Australia. ; Department of Spinal Surgery, Austin Health, Heidelberg Victoria 3084, Australia.
Davina A F CossignySpinal Biology Research Laboratory, University of Melbourne, Department of Surgery, Austin Health, Heidelberg Victoria 3084, Australia.
Gerald M Y QuanSpinal Biology Research Laboratory, University of Melbourne, Department of Surgery, Austin Health, Heidelberg Victoria 3084, Australia. ; Department of Spinal Surgery, Austin Health, Heidelberg Victoria 3084, Australia.
Austin Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bony skeleton is one of the most common sites of metastatic spread of cancer and is a significant source of morbidity in cancer patients, causing pain and pathologic fracture, impaired ambulatory ability, and poorer quality of life. Animal cancer models of skeletal metastases are essential for better understanding of the molecular pathways behind metastatic spread and local growth and invasion of bone, to enable analysis of host-tumor cell interactions, identify barriers to the metastatic process, and to provide platforms to develop and test novel therapies prior to clinical application in human patients. Thus, the ideal model should be clinically relevant, reproducible and representative of the human condition. This review summarizes the current in vivo animal models used in the study of cancer metastases of the skeleton.

Indexed as

animal modelscancermetastasisskeletaltumor

Identifiers

PMID24665205
PMCPMC3941154
OpenAlexW1998091940

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.