Evidence map›Paper›PMID 29770973›Full record

ArticleJournal of veterinary internal medicine2018

Genome-wide based model predicting recovery from portosystemic shunting after liver shunt attenuation in dogs.

Lindsay Van den Bossche, Frank G van Steenbeek, Maarten F Weber, Bart Spee, Louis C Penning, Freek J van Sluijs, Flin Zomerdijk, Marian J A Groot Koerkamp, Jan Rothuizen, Iwan A Burgener and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 9 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 4 institutions in 2 countries.

Lindsay Van den BosscheDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Frank G van SteenbeekDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Maarten F WeberGD Animal Health, 7400 AA Deventer, The Netherlands.
Bart SpeeDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Louis C PenningDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Freek J van SluijsDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Flin ZomerdijkDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Marian J A Groot KoerkampHolstege groep, Princess Maxima Center for Pediatric Oncology, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands.
Jan RothuizenDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Iwan A BurgenerDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Anne KummelingDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-5222-1345
Utrecht University · NLDe Gezondheidsdienst voor Dieren · NLPrincess Máxima Center · NLUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn dogs with congenital portosystemic shunt (CPSS), recovery after surgical CPSS attenuation is difficult to predict.

objectivesOur aim was to build a model with plasma albumin concentration and mRNA expression levels of hepatic gene products as predictors of recovery from portosystemic shunting after surgery. ANIMALS: Seventy-three client-owned dogs referred for surgical attenuation of CPSS.

methodsA prediction model was constructed using 2 case-control studies of recovered and nonrecovered dogs after surgical CPSS attenuation. In the 1st study, a dog-specific gene expression microarray analysis was used to compare mRNA expression in intraoperatively collected liver tissue between 23 recovered and 23 nonrecovered dogs. In the 2nd study, preoperative plasma albumin concentration and the expression of microarray-selected genes were confirmed by RT-qPCR in intraoperatively collected liver samples of 31 recovered and 31 nonrecovered dogs, including 35 dogs from the 1st study.

resultsIn the 1st study, 43 genes were differently expressed in recovered and nonrecovered dogs. The mean preoperative plasma albumin concentration in recovered dogs was higher compared to nonrecovered dogs (23 and 19 g/L, respectively; P = .004). The best fitting prediction model in the 2nd study included preoperative plasma albumin concentration and intraoperative DHDH, ERLEC1, and LYSMD2 gene expression levels. CONCLUSION AND CLINICAL IMPORTANCE: A preclinical model was constructed using preoperative plasma albumin concentration and intraoperative hepatic mRNA expression of 3 genes that were unbiasedly selected from the genome to predict recovery from portosystemic shunting after shunt ligation. Further development is essential for clinical application.

Indexed as

AnimalsCase-Control StudiesDog DiseasesDogsFemaleGene Expression ProfilingGenome-Wide Association StudyMaleModels, StatisticalPortal VeinRecovery of FunctionSerum AlbuminTreatment OutcomeVascular MalformationsSerum Albumincongenital portosystemic shuntliveroutcomeprediction modelprognosticrecovery

Identifiers

PMID29770973
PMCPMC6060332
OpenAlexW2803758463

What OpenQuestion holds

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Registered trials

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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.