Evidence map›Paper›PMID 35034282›Full record

ArticleVeterinary research communications2022

Database development and survival analysis in a clinical and historical cohort of dogs affected by myxomatous mitral valve disease treated or not with pimobendan using causal inference techniques.

Mara Bagardi, Valentina Palermo, Chiara Locatelli, Fabio Maria Colombo, Laura Pazzagli, Paola G Brambilla

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Article in Veterinary research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Mara BagardiDepartment of Veterinary Medicine, University of Milan, Lodi, Italy. mara.bagardi@unimi.it.
Valentina PalermoAnderson Moores Veterinary Specialists, The Granary, Bunstead Barns, Poles Lane, Hursley, Winchester, Hampshire, SO21 2LL, UK.
Chiara LocatelliDepartment of Veterinary Medicine, University of Milan, Lodi, Italy.
Fabio Maria ColomboDepartment of Veterinary Medicine, University of Milan, Lodi, Italy.ORCID http://orcid.org/0000-0002-9378-1322
Laura PazzagliCentre for Pharmacoepidemiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Paola G BrambillaDepartment of Veterinary Medicine, University of Milan, Lodi, Italy.
University of Milan · ITKarolinska Institutet · SEWillows Veterinary Centre and Referral Service · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work was to retrospectively evaluate the influence of pimobendan on the survival time (ST) of dogs with myxomatous mitral valve disease at different stages using an Inverse Probability Weighting (IPW) analysis. An IPW method was used to minimize confounding and IPW weighted time-repeated logistic model was used to approximate survival curves (SCs) and calculate survival differences. Subjects were allocated into exposed (E) and unexposed (U). Dogs in the American College of Veterinary Internal Medicine (ACVIM) B2 class treated with pimobendan (± ACE-inhibitors) were selected for the E group, as well as symptomatic patients (ACVIM class C) treated with triple (furosemide, ACE-inhibitor, pimobendan) or quadruple (furosemide, ACE-inhibitor, pimobendan and spironolactone) therapy. The U group included ACVIM class B2 dogs not treated with any medication and ACVIM C dogs treated with a combination of furosemide and ACE-inhibitor/spironolactone without pimobendan. The survival curve (SC) of the E group crossed the U group at 1634 days. The difference between the two SCs at the time of maximum survival difference in favor of the U group was 11.3% (CI 1.7%-20.9%) (significant), in favor of the E group was 3.9% (CI -8.6%-16.4%) (not significant) and at the mean ST was 3.6% (CI -8.5%-15.7%) (not significant) in favor of the E group. For times greater than 1634 days the survival was in favor of the E group, but there were no statistically significant differences in survival in favor of the E group in this clinical population.

Indexed as

Dog DiseasesMitral ValveAnimalsDogsFurosemideHumansPyridazinesRetrospective StudiesSpironolactoneSurvival AnalysisFurosemidepimobendanPyridazinesSpironolactoneCausal inference techniquesDogMyxomatous mitral valve diseaseSurvival analysis

Identifiers

PMID35034282
OpenAlexW4206292315

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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.