Evidence map›Paper›PMID 23451024›Full record

ArticlePloS one2013

Optimising use of electronic health records to describe the presentation of rheumatoid arthritis in primary care: a strategy for developing code lists.

Amanda Nicholson, Elizabeth Ford, Kevin A Davies, Helen E Smith, Greta Rait, A Rosemary Tate, Irene Petersen, Jackie Cassell

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Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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

29 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Management of Rheumatoid Arthritis in Primary Care: A Scoping Review.International journal of environmental research and public health · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Secure Anonymised Information Linkage databank Dementia e-cohort (SAIL-DeC).International journal of population data science · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Empirical advances with text mining of electronic health records.BMC medical informatics and decision making · 2017
    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

8 authors.

Amanda NicholsonDivision of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom.
Elizabeth Ford
Kevin A Davies
Helen E Smith
Greta Rait
A Rosemary Tate
Irene Petersen
Jackie Cassell

Funding

Wellcome TrustWellcome Trust 086105/Z/08/Z
6 · The paper itself

Abstract

backgroundResearch using electronic health records (EHRs) relies heavily on coded clinical data. Due to variation in coding practices, it can be difficult to aggregate the codes for a condition in order to define cases. This paper describes a methodology to develop 'indicator markers' found in patients with early rheumatoid arthritis (RA); these are a broader range of codes which may allow a probabilistic case definition to use in cases where no diagnostic code is yet recorded.

methodsWe examined EHRs of 5,843 patients in the General Practice Research Database, aged ≥ 30 y, with a first coded diagnosis of RA between 2005 and 2008. Lists of indicator markers for RA were developed initially by panels of clinicians drawing up code-lists and then modified based on scrutiny of available data. The prevalence of indicator markers, and their temporal relationship to RA codes, was examined in patients from 3 y before to 14 d after recorded RA diagnosis.

findingsIndicator markers were common throughout EHRs of RA patients, with 83.5% having 2 or more markers. 34% of patients received a disease-specific prescription before RA was coded; 42% had a referral to rheumatology, and 63% had a test for rheumatoid factor. 65% had at least one joint symptom or sign recorded and in 44% this was at least 6-months before recorded RA diagnosis.

conclusionIndicator markers of RA may be valuable for case definition in cases which do not yet have a diagnostic code. The clinical diagnosis of RA is likely to occur some months before it is coded, shown by markers frequently occurring ≥ 6 months before recorded diagnosis. It is difficult to differentiate delay in diagnosis from delay in recording. Information concealed in free text may be required for the accurate identification of patients and to assess the quality of care in general practice.

Indexed as

Electronic Health RecordsArthritis, RheumatoidClinical CodingHumansPrimary Health Care

Identifiers

PMID23451024
PMCPMC3579840

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LicenceCC BY
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Registered trials

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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.