Evidence map›Paper›PMID 32935018›Full record

ArticleInternational journal of population data science2018

Expanding the impact of a longstanding Canadian cardiac registry through data linkage: challenges and opportunities.

Danielle A Southern, Matthew T James, Stephen B Wilton, Lawrence DeKoning, Hude Quan, Merril L Knudtson, William A Ghali

Open access · goldAbstract read
In one paragraph

Article in International journal of population data science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. A multidimensional item response theory analysis of the Seattle Angina Questionnaire: measurement precision, differential item functioning, and potential for item reduction.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Exploring barriers and solutions in advancing cross-centre population data science.International journal of population data science · 2019
    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

7 authors at 3 institutions in 1 country.

Danielle A SouthernDepartment of Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, 2500 University Dr NW, Calgary, Alberta T2N 1N4, Canada.
Matthew T JamesDepartment of Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, 2500 University Dr NW, Calgary, Alberta T2N 1N4, Canada.
Stephen B WiltonLibin Cardiovascular Institute of Alberta, University of Calgary, 2500 University Dr NW, Calgary, Alberta T2N 1N4, Canada.
Lawrence DeKoningDepartment of Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, 2500 University Dr NW, Calgary, Alberta T2N 1N4, Canada.
Hude QuanDepartment of Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, 2500 University Dr NW, Calgary, Alberta T2N 1N4, Canada.
Merril L KnudtsonCumming School of Medicine, University of Calgary, 2500 University Dr NW, Calgary, Alberta T2N 1N4, Canada.
William A GhaliDepartment of Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, 2500 University Dr NW, Calgary, Alberta T2N 1N4, Canada.
University of Calgary · CALibin Cardiovascular Institute of Alberta · CAAlberta Children's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH) began as a province-wide inception cohort of all adult Alberta residents undergoing cardiac catheterization for ischemic heart disease. Strengths of the APPROACH initiative include the prospective collection of detailed clinical, procedural, and treatment information, measured at point-of-care. While this aspect of APPROACH provides data users with several advantages over use of typical administrative data, the ability to link APPROACH with data from multiple other sources has provided several unique opportunities to measure cardiovascular care and outcomes. As of June 2018, clinical information has been collected by APPROACH on over 240,000 adult Alberta residents. Linkage of this rich clinical data to administrative health data (eg. Vital statistics, hospitalizations, ambulatory events, prescription medications), secondary use clinical data (e.g. laboratory, ECG, rehabilitation, EMR, imaging) and other data sources (eg. Geospatial, crime data, meteorological) allows better study of the determinants of a patient's health trajectory. This paper describes applied examples of work that has leveraged the potential of linking several datasets with the APPROACH registry.

Identifiers

PMID32935018
PMCPMC7299492
OpenAlexW2901139437

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.