Evidence map›Paper›PMID 20841894›Full record

ArticleStudies in health technology and informatics2010

The clinical research data repository of the US National Institutes of Health.

James J Cimino, Elaine J Ayres

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. TheAnnual review of biomedical data science · 2023
    Review
  7. Article
  8. Article
  9. Data-driven method to enhance craniofacial and oral phenotype vocabularies.Journal of the American Dental Association (1939) · 2019
    Article
  10. Chiari I Malformation and Basilar Invagination in Fibrous Dysplasia: Prevalence, Mechanisms, and Clinical Implications.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2018
    Article
  11. Review
  12. Review
  13. Reviewing 741 patients records in two hours with FASTVISU.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

2 authors.

James J CiminoLaboratory for Informatics Development, National Institutes of Health Clinical Center, Bethesda, MD, USA. James.Cimino@nih.gov
Elaine J Ayres

Funding

Biomedical Translational Research Information System (BTRIS) Data Reuse ProtocolZIACL000904 · CLC · CLINICAL CENTER · PI CIMINO, JAMES · 2009 to 2014
$0k
Intramural NIH HHS Z99 CL999999
6 · The paper itself

Abstract

The US National Institutes of Health (NIH) includes 27 institutes and centers, many of which conduct clinical research. Previously, data collected in research trials has existed in multiple, disparate databases. This paper describes the design, implementation and experience to date with the Biomedical Translational Research Information System (BTRIS), being developed at NIH to consolidate clinical research data. BTRIS is intended to simplify data access and analysis of data from active clinical trials and to facilitate reuse of existing data to answer new questions. Unique aspects of the system includes a Research Entities Dictionary that unifies all controlled terminologies used by source systems and a hybrid data model that unifies parts of the source data models and include other data in entity-attribute value tables. BTRIS currently includes over 300 million rows of data, from three institutes, ranging from 1976 to present. Users are able to retrieve data on their own research subjects in identified form as well as deidentified data on all subjects.

Indexed as

Biomedical ResearchInformation SystemsNational Institutes of Health (U.S.)Clinical Trials as TopicData CollectionTranslational Research, BiomedicalUnited States

Identifiers

PMID20841894
PMCPMC3408090

What OpenQuestion holds

Textmetadata
LicenceTDM
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.