Evidence map›Paper›PMID 28573005›Full record

ArticleRoyal Society open science2017

Drug delivery in a tumour cord model: a computational simulation.

M E Hubbard, M Jove, P M Loadman, R M Phillips, C J Twelves, S W Smye

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2017. 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
0.4field-weighted citation impact, top 41% 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, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  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

6 authors at 4 institutions in 1 country.

M E HubbardSchool of Mathematical Sciences, The University of Nottingham, University Park, Nottingham NG7 2RD, UK.ORCID 0000-0001-7471-1815
M JoveDepartment of Medical Oncology, Leeds Teaching Hospitals NHS Trust, University of Leeds, St James's University Hospital, Leeds LS9 7TF, UK.
P M LoadmanInstitute of Cancer Therapeutics, University of Bradford, Bradford BD7 1DP, UK.
R M PhillipsSchool of Applied Sciences, University of Hudderfield, Queensgate, Huddersfield HD1 3DH, UK.
C J TwelvesLeeds Institute of Cancer and Pathology, University of Leeds, St James's University Hospital, Leeds LS9 7TF, UK.
S W SmyeAcademic Division of Medical Physics, University of Leeds, Leeds LS2 9JT, UK.
University of Leeds · GBUniversity of Bradford · GBUniversity of Huddersfield · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumour vasculature and microenvironment is complex and heterogeneous, contributing to reduced delivery of cancer drugs to the tumour. We have developed an

Indexed as

computational modellingdrug deliverydrug transport and bindingmathematical modellingpharmacokinetic resistance

Identifiers

PMID28573005
PMCPMC5451806
OpenAlexW2618794160

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.