Evidence map›Paper›PMID 33093066›Full record

ArticleDisease models & mechanisms2020

Predicting experimental success: a retrospective case-control study using the rat intraluminal thread model of stroke.

Lisa Liebenstund, Mark Coburn, Christina Fitzner, Antje Willuweit, Karl-Josef Langen, Jingjin Liu, Michael Veldeman, Anke Höllig

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2020. 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
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Lisa LiebenstundDepartment of Anesthesiology, University Hospital Aachen, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, D-52074 Aachen, Germany.
Mark CoburnDepartment of Anesthesiology, University Hospital Aachen, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, D-52074 Aachen, Germany.
Christina FitznerDepartment of Anesthesiology, University Hospital Aachen, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, D-52074 Aachen, Germany.
Antje WilluweitInstitute of Neuroscience and Medicine, Medical Imaging Physics (INM-4), Forschungszentrum Jülich GmbH, D-52428 Jülich, Germany.
Karl-Josef LangenInstitute of Neuroscience and Medicine, Medical Imaging Physics (INM-4), Forschungszentrum Jülich GmbH, D-52428 Jülich, Germany.
Jingjin LiuDepartment of Anesthesiology, University Hospital Aachen, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, D-52074 Aachen, Germany.
Michael VeldemanDepartment of Neurosurgery, University Hospital Aachen, RWTH Aachen University, D-52047 Aachen, Germany.
Anke HölligDepartment of Neurosurgery, University Hospital Aachen, RWTH Aachen University, D-52047 Aachen, Germany ahoellig@ukaachen.de.ORCID 0000-0001-6798-5703
Universitätsklinikum Aachen · DEForschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The poor translational success rate of preclinical stroke research may partly be due to inaccurate modelling of the disease. We provide data on transient middle cerebral artery occlusion (tMCAO) experiments, including detailed intraoperative monitoring to elaborate predictors indicating experimental success (ischemia without occurrence of confounding pathologies). The tMCAO monitoring data (bilateral cerebral blood flow, CBF; heart rate, HR; and mean arterial pressure, MAP) of 16 animals with an 'ideal' outcome (MCA-ischemia), and 48 animals with additional or other pathologies (subdural haematoma or subarachnoid haemorrhage), were checked for their prognostic performance (receiver operating characteristic curve and area under the curve, AUC). Animals showing a decrease in the contralateral CBF at the time of MCA occlusion suffered from unintended pathologies. Implementation of baseline MAP, in addition to baseline HR (AUC, 0.83, 95% c.i. 0.68 to 0.97), increased prognostic relevance (AUC, 0.89, 95% c.i. 0.79 to 0.98). Prediction performance improved when two additional predictors referring to differences in left and right CBF were considered (AUC, 1.00, 95% c.i. 1.0 to 1.0). Our data underline the importance of peri-interventional monitoring to verify a successful experimental performance in order to ensure a disease model as homogeneous as possible.

Indexed as

AnimalsArterial PressureCerebrovascular CirculationDisease Models, AnimalHeart RateInfarction, Middle Cerebral ArteryMaleRats, WistarRetrospective StudiesStrokeTreatment OutcomeExperimental quality assurancePeri-interventional monitoringRat modelStroke animal modeltMCAO

Identifiers

PMID33093066
PMCPMC7790196
OpenAlexW3094610706

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.