Evidence map›Paper›PMID 24941260›Full record

ArticlePloS one2014

ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records.

David A Springate, Evangelos Kontopantelis, Darren M Ashcroft, Ivan Olier, Rosa Parisi, Edmore Chamapiwa, David Reeves

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 3 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

115 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Prevalence trends and risk factors for allergic rhinoconjunctivitis, asthma and eczema in the UK.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2025
    Article
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  13. Review
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55 more citing papers are in PubMed but not listed here.

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.

David A SpringateCentre for Primary Care, Institute for Population Health, University of Manchester, Manchester, United Kingdom; Centre for Biostatistics, Institute for Population Health, University of Manchester, Manchester, United Kingdom.
Evangelos KontopantelisCentre for Primary Care, Institute for Population Health, University of Manchester, Manchester, United Kingdom; Centre for Health Informatics, Institute for Population Health, University of Manchester, Manchester, United Kingdom.
Darren M AshcroftCentre for Pharmacoepidemiology and Drug Safety Research, Manchester Pharmacy School, University of Manchester, Manchester, United Kingdom.
Ivan OlierManchester Institute for Biotechnology, University of Manchester, Manchester, United Kingdom.
Rosa ParisiCentre for Pharmacoepidemiology and Drug Safety Research, Manchester Pharmacy School, University of Manchester, Manchester, United Kingdom.
Edmore ChamapiwaCentre for Primary Care, Institute for Population Health, University of Manchester, Manchester, United Kingdom.
David ReevesCentre for Primary Care, Institute for Population Health, University of Manchester, Manchester, United Kingdom; Centre for Biostatistics, Institute for Population Health, University of Manchester, Manchester, United Kingdom.

Funding

Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

Lists of clinical codes are the foundation for research undertaken using electronic medical records (EMRs). If clinical code lists are not available, reviewers are unable to determine the validity of research, full study replication is impossible, researchers are unable to make effective comparisons between studies, and the construction of new code lists is subject to much duplication of effort. Despite this, the publication of clinical codes is rarely if ever a requirement for obtaining grants, validating protocols, or publishing research. In a representative sample of 450 EMR primary research articles indexed on PubMed, we found that only 19 (5.1%) were accompanied by a full set of published clinical codes and 32 (8.6%) stated that code lists were available on request. To help address these problems, we have built an online repository where researchers using EMRs can upload and download lists of clinical codes. The repository will enable clinical researchers to better validate EMR studies, build on previous code lists and compare disease definitions across studies. It will also assist health informaticians in replicating database studies, tracking changes in disease definitions or clinical coding practice through time and sharing clinical code information across platforms and data sources as research objects.

Indexed as

Clinical CodingDatabases, FactualElectronic Health RecordsInternetResearchHumansPrimary Health CarePublicationsReproducibility of ResultsResearch Report

Identifiers

PMID24941260
PMCPMC4062485

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.