Evidence map›Paper›PMID 23500238›Full record

ReviewJournal of the American College of Cardiology2013

Standardized cardiovascular data for clinical research, registries, and patient care: a report from the Data Standards Workgroup of the National Cardiovascular Research Infrastructure project.

H Vernon Anderson, William S Weintraub, Martha J Radford, Mark S Kremers, Matthew T Roe, Richard E Shaw, Dana M Pinchotti, James E Tcheng

Abstract readReview
In one paragraph

Review in Journal of the American College of Cardiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Multimorbidity in Older Adults With Cardiovascular Disease.Journal of the American College of Cardiology · 2018
    Review
  14. Review
  15. A Framework for Data Quality Assessment in Clinical Research Datasets.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
  16. Article
  17. A nursing information model process for interoperability.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  18. Article
  19. Acute myocardial infarction post-gastrointestinal bleeding: A clinical dilemma with poor prognosis.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
    Article
  20. 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.

H Vernon AndersonUniversity of Texas Health Science Center, Houston, Texas 77030, USA. h.v.anderson@uth.tmc.edu
William S Weintraub
Martha J Radford
Mark S Kremers
Matthew T Roe
Richard E Shaw
Dana M Pinchotti
James E Tcheng

Funding

ACC/Duke Partnership for a National Cardiovascular Research Infrastructure (NCRI)RC2HL101512 · NHLBI · DUKE UNIVERSITY · PI KONG, DAVID FRANKLIN · 2009 to 2010
$2.6M
NHLBI NIH HHS 1RC2HL101512-01NHLBI NIH HHS RC2 HL101512
6 · The paper itself

Abstract

Relatively little attention has been focused on standardization of data exchange in clinical research studies and patient care activities. Both are usually managed locally using separate and generally incompatible data systems at individual hospitals or clinics. In the past decade there have been nascent efforts to create data standards for clinical research and patient care data, and to some extent these are helpful in providing a degree of uniformity. Nonetheless, these data standards generally have not been converted into accepted computer-based language structures that could permit reliable data exchange across computer networks. The National Cardiovascular Research Infrastructure (NCRI) project was initiated with a major objective of creating a model framework for standard data exchange in all clinical research, clinical registry, and patient care environments, including all electronic health records. The goal is complete syntactic and semantic interoperability. A Data Standards Workgroup was established to create or identify and then harmonize clinical definitions for a base set of standardized cardiovascular data elements that could be used in this network infrastructure. Recognizing the need for continuity with prior efforts, the Workgroup examined existing data standards sources. A basic set of 353 elements was selected. The NCRI staff then collaborated with the 2 major technical standards organizations in health care, the Clinical Data Interchange Standards Consortium and Health Level Seven International, as well as with staff from the National Cancer Institute Enterprise Vocabulary Services. Modeling and mapping were performed to represent (instantiate) the data elements in appropriate technical computer language structures for endorsement as an accepted data standard for public access and use. Fully implemented, these elements will facilitate clinical research, registry reporting, administrative reporting and regulatory compliance, and patient care.

Indexed as

Cardiovascular DiseasesBiomedical ResearchHumansMedical Records Systems, ComputerizedPatient CareRegistriesUnited States

Identifiers

PMID23500238
PMCPMC3664644

What OpenQuestion holds

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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.