Evidence map›Paper›PMID 31316911›Full record

ArticleFrontiers in oncology2019

A Novel Translational Ovine Pulmonary Adenocarcinoma Model for Human Lung Cancer.

Mark E Gray, Paul Sullivan, Jamie R K Marland, Stephen N Greenhalgh, James Meehan, Rachael Gregson, R Eddie Clutton, Chris Cousens, David J Griffiths, Alan Murray and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. 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
2.4field-weighted citation impact, top 13% 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, 14 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Mark E GrayThe Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, United Kingdom.
Paul SullivanSchool of Engineering, Institute for Integrated Micro and Nano Systems, Edinburgh, United Kingdom.
Jamie R K MarlandSchool of Engineering, Institute for Integrated Micro and Nano Systems, Edinburgh, United Kingdom.
Stephen N GreenhalghThe Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, United Kingdom.
James MeehanCancer Research UK Edinburgh Centre and Division of Pathology Laboratories, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.
Rachael GregsonThe Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, United Kingdom.
R Eddie CluttonThe Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, United Kingdom.
Chris CousensMoredun Research Institute, Pentlands Science Park, Midlothian, United Kingdom.
David J GriffithsMoredun Research Institute, Pentlands Science Park, Midlothian, United Kingdom.
Alan MurraySchool of Engineering, Institute for Integrated Micro and Nano Systems, Edinburgh, United Kingdom.
David ArgyleThe Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, United Kingdom.
National Microelectronics Institute · GBUniversity of Edinburgh · GBEdinburgh Cancer Research · GBMoredun Research Institute · GBRoslin Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computed tomography-guided sensor implantationhuman lung cancernovel translational lung cancer modelovine pulmonary adenocarcinomapre-clinical research

Identifiers

PMID31316911
PMCPMC6611418
OpenAlexW2951759688

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.