Evidence map›Paper›PMID 33305226›Full record

ArticleCJC open2020

The TRIVIA Cohort for Surgical Management of Tetralogy of Fallot: Merging Population and Clinical Data for Real-World Scientific Evidence.

Samuel Blais, Ariane Marelli, Alain Vanasse, Nagib Dahdah, Adrian Dancea, Christian Drolet, Frederic Dallaire

Open access · goldAbstract read
In one paragraph

Article in CJC open, 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
0.9field-weighted citation impact, top 25% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
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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

7 authors at 4 institutions in 1 country.

Samuel BlaisDepartment of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Ariane MarelliMcGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montreal, Québec, Canada.
Alain VanasseCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada.
Nagib DahdahDivision of Pediatric Cardiology, Centre Hospitalier Universitaire Sainte-Justine, Montreal, Québec, Canada.
Adrian DanceaDivision of Pediatric Cardiology, McGill University Health Center, Montreal, Québec, Canada.
Christian DroletDivision of Pediatric Cardiology, Centre Hospitalier Universitaire de Québec, Québec City, Québec, Canada.
Frederic DallaireDepartment of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Université de Sherbrooke · CAMcGill University Health Centre · CACentre hospitalier universitaire de Québec · CACentre Hospitalier Universitaire Sainte-Justine · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGuidelines for surgical management of tetralogy of Fallot (TOF) are often based on low-quality evidence due to the many challenges of congenital heart disease: heterogeneous cardiac anatomy, consequences from surgical interventions arising years later, and scarcity of hard outcomes. The overarching goal of the

methodsThe TRIVIA study is a population-based cohort including all subjects with TOF in the province of Québec between 1980 and 2017. It links patient-level granular clinical data with long-term administrative health care data. We will evaluate mortality, cardiovascular interventions, and hospitalizations for adverse cardiovascular events using survival Cox models and marginal mean/rates models for recurrent events, respectively. Multivariate multilevel models will correct for potential confounders, and risk score matching will mitigate the potential of confounding by indication.

resultsThe current TRIVIA cohort includes 1001 eligible subjects with TOF with complete lifelong follow-up for > 98%. The median follow-up is 17.1 years, totalling > 17,000 patient-years.

conclusionsUniversal health insurance data combined with granular clinical data enable the development of population-based cohorts, to which contemporary statistical methods are applied to address important research questions in congenital heart disease research.

Identifiers

PMID33305226
PMCPMC7710944
OpenAlexW3037724616

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.