Evidence map›Paper›PMID 28748520›Full record

ReviewBiophysical reviews2017

Advances in the development of improved animal-free models for use in breast cancer biomedical research.

Sophie Roberts, Valerie Speirs

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 3Rs and biophysics.Biophysical reviews · 2017
    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

2 authors.

Sophie RobertsLeeds Institute of Cancer & Pathology, University of Leeds, St James's University Hospital, Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK.
Valerie SpeirsLeeds Institute of Cancer & Pathology, University of Leeds, St James's University Hospital, Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK. v.speirs@leeds.ac.uk.ORCID http://orcid.org/0000-0002-0602-4666

Funding

Breast Cancer Now TB2015LEENational Centre for the Replacement, Refinement and Reduction of Animals in Research NC/N00325X/1
6 · The paper itself

Abstract

Through translational research, the outcomes for women (and men) diagnosed with breast cancer have improved significantly, with now over 80% of women surviving for at least 5 years post-diagnosis. Much of this success has been translated from the bench to the bedside using laboratory models. Here, we outline the types of laboratory models that have helped achieve this and discuss new approaches as we move towards animal-free disease modelling.

Indexed as

Breast cancerEx vivo modelsTissue banks

Identifiers

PMID28748520
PMCPMC5578919

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.