Evidence map›Paper›PMID 25954578›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2014

Detailed clinical modelling approach to data extraction from heterogeneous data sources for clinical research.

Sarah N Lim Choi Keung, Lei Zhao, James Rossiter, Mark McGilchrist, Frank Culross, Jean-François Ethier, Anita Burgun, Robert A Verheij, Nasra Khan, Adel Taweel and 3 more

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In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Sarah N Lim Choi KeungInstitute of Digital Healthcare, WMG, University of Warwick, UK.
Lei ZhaoInstitute of Digital Healthcare, WMG, University of Warwick, UK.
James RossiterInstitute of Digital Healthcare, WMG, University of Warwick, UK.
Mark McGilchristHealth Informatics Centre, University of Dundee, UK.
Frank CulrossHealth Informatics Centre, University of Dundee, UK.
Jean-François EthierINSERM UMR_S 872, France.
Anita BurgunINSERM UMR_S 872, France.
Robert A VerheijNIVEL Netherlands Institute for Health Services Research, The Netherlands.
Nasra KhanNIVEL Netherlands Institute for Health Services Research, The Netherlands.
Adel TaweelDepartment of Primary Care and Health Sciences, King's College London, UK.
Vasa CurcinDepartment of Computing, Imperial College London, UK.
Brendan C DelaneyDepartment of Primary Care and Health Sciences, King's College London, UK.
Theodoros N ArvanitisInstitute of Digital Healthcare, WMG, University of Warwick, UK.
University of Warwick · GBUniversity of Dundee · GBImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reuse of routinely collected clinical data for clinical research is being explored as part of the drive to reduce duplicate data entry and to start making full use of the big data potential in the healthcare domain. Clinical researchers often need to extract data from patient registries and other patient record datasets for data analysis as part of clinical studies. In the TRANSFoRm project, researchers define their study requirements via a Query Formulation Workbench. We use a standardised approach to data extraction to retrieve relevant information from heterogeneous data sources, using semantic interoperability enabled via detailed clinical modelling. This approach is used for data extraction from data sources for analysis and for pre-population of electronic Case Report Forms from electronic health records in primary care clinical systems.

Identifiers

PMID25954578
PMCPMC4419774
OpenAlexW2176527690

What OpenQuestion holds

Textmetadata
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.