Evidence map›Paper›PMID 27412104›Full record

ArticleBMJ open2016

Linking e-health records, patient-reported symptoms and environmental exposure data to characterise and model COPD exacerbations: protocol for the COPE study.

Elizabeth Moore, Lia Chatzidiakou, Roderic L Jones, Liam Smeeth, Sean Beevers, Frank J Kelly, Jennifer K Quint, Benjamin Barratt

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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  11. Article
  12. Article
  13. Personalized medicine for patients with COPD: where are we?International journal of chronic obstructive pulmonary disease · 2019
    Review
  14. Article
  15. How Sensors Might Help Define the External Exposome.International journal of environmental research and public health · 2017
    Review
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 at 4 institutions in 1 country.

Elizabeth MooreDepartment of Medicine, Imperial College London, London, UK.
Lia ChatzidiakouDepartment of Chemistry, Centre for Atmospheric Science, University of Cambridge, Cambridge, UK.
Roderic L JonesDepartment of Chemistry, Centre for Atmospheric Science, University of Cambridge, Cambridge, UK.
Liam SmeethDepartment of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Sean BeeversAnalytical & Environmental Sciences Division, King's College London, London, UK.
Frank J KellyNIHR Health Protection Research Unit in Health Impacts of Environmental Hazards, King's College London, London, UK.
Jennifer K QuintDepartment of Medicine, Imperial College London, London, UK.ORCID 0000-0003-0149-4869
Benjamin BarrattAnalytical & Environmental Sciences Division, King's College London, London, UK.
King's College London · GBImperial College London · GBUniversity of Cambridge · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council G0801056Medical Research Council MR/K006584/1Medical Research Council MR/L01341X/1Medical Research Council MR/L019744/1Wellcome Trust
6 · The paper itself

Abstract

introductionRelationships between exacerbations of chronic obstructive pulmonary disease (COPD) and environmental factors such as temperature, humidity and air pollution are not well characterised, due in part to oversimplification in the assignment of exposure estimates to individuals and populations. New developments in miniature environmental sensors mean that patients can now carry a personal air quality monitor for long periods of time as they go about their daily lives. This creates the potential for capturing a direct link between individual activities, environmental exposures and the health of patients with COPD. Direct associations then have the potential to be scaled up to population levels and tested using advanced human exposure models linked to electronic health records. METHODS AND ANALYSIS: This study has 5 stages: (1) development and deployment of personal air monitors; (2) recruitment and monitoring of a cohort of 160 patients with COPD for up to 6 months with recruitment of participants through the Clinical Practice Research Datalink (CPRD); (3) statistical associations between personal exposure with COPD-related health outcomes; (4) validation of a time-activity exposure model and (5) development of a COPD prediction model for London. ETHICS AND DISSEMINATION: The Research Ethics Committee for Camden and Islington has provided ethical approval for the conduct of the study. Approval has also been granted by National Health Service (NHS) Research and Development and the Independent Scientific Advisory Committee. The results of the study will be disseminated through appropriate conference presentations and peer-reviewed journals.

Indexed as

Models, BiologicalPulmonary Disease, Chronic ObstructiveSeverity of Illness IndexAdultAgedAged, 80 and overAir PollutantsAir PollutionCohort StudiesData CollectionElectronic Health RecordsEnvironmental ExposureEnvironmental MonitoringFemaleHumansLondonAir PollutantsCOPDExacerbationMonitorPollution

Identifiers

PMID27412104
PMCPMC4947745
OpenAlexW2460706150

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.