Evidence map›Paper›PMID 30833324›Full record

ArticleBMJ open2019

Code sets for respiratory symptoms in electronic health records research: a systematic review protocol.

Wikum Jayatunga, Philip Stone, Robert W Aldridge, Jennifer K Quint, Julie George

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Validating exacerbations of asthma in electronic health records: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Wikum JayatungaInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0002-3063-8975
Philip StoneNational Heart and Lung Institute, Imperial College London, London, UK.
Robert W AldridgeInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0003-0542-0816
Jennifer K QuintRespiratory Epidemiology, Occupational Medicine and Public Health, Imperial College London, London, UK.ORCID 0000-0003-0149-4869
Julie GeorgeInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0003-2410-2696

Funding

Department of Health ICA-CL-2016-02-024Wellcome TrustWellcome Trust 206602/Z/17/Z
6 · The paper itself

Abstract

introductionAsthma and chronic obstructive pulmonary disease (COPD) are common respiratory conditions, which result in significant morbidity worldwide. These conditions are associated with a range of non-specific symptoms, which in themselves are a target for health research. Such research is increasingly being conducted using electronic health records (EHRs), but computable phenotype definitions, in the form of code sets or code lists, are required to extract structured data from these large routine databases in a systematic and reproducible way. The aim of this protocol is to specify a systematic review to identify code sets for respiratory symptoms in EHRs research. METHODS AND ANALYSIS: MEDLINE and Embase databases will be searched using terms relating to EHRs, respiratory symptoms and use of code sets. The search will cover all English-language studies in these databases between January 1990 and December 2017. Two reviewers will independently screen identified studies for inclusion, and key data will be extracted into a uniform table, facilitating cross-comparison of codes used. Disagreements between the reviewers will be adjudicated by a third reviewer. This protocol has been produced in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol guidelines. ETHICS AND DISSEMINATION: As a review of previously published studies, no ethical approval is required. The results of this review will be submitted to a peer-reviewed journal for publication and can be used in future research into respiratory symptoms that uses electronic healthcare databases. PROSPERO REGISTRATION NUMBER: CRD42018100830.

Indexed as

Electronic Health RecordsAsthmaClinical CodingHumansPulmonary Disease, Chronic ObstructiveResearch DesignSystematic Reviews as Topicclinical codingcode setscodingelectronic health recordsrespiratorysymptoms

Identifiers

PMID30833324
PMCPMC6443061

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.