Evidence mapPaperPMID 34527726Full record

ArticleERJ open research2021

Identifying COPD in routinely collected electronic health records: a systematic scoping review.

Shanya Sivakumaran, Mohammad A Alsallakh, Ronan A Lyons, Jennifer K Quint, Gwyneth A Davies

Abstract readScoping Review
In one paragraph

Article in ERJ open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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.

Shanya SivakumaranPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID https://orcid.org/0000-0003-1914-6643
Mohammad A AlsallakhPopulation Data Science, Swansea University Medical School, Swansea, UK.
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Swansea, UK.
Jennifer K QuintNational Heart and Lung Institute, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-0149-4869
Gwyneth A DaviesPopulation Data Science, Swansea University Medical School, Swansea, UK.

Funding

Medical Research Council MC_PC_13043Medical Research Council MC_PC_19004Medical Research Council MR/K006525/1
6 · The paper itself

Abstract

Although routinely collected electronic health records (EHRs) are widely used to examine outcomes related to COPD, consensus regarding the identification of cases from electronic healthcare databases is lacking. We systematically examine and summarise approaches from the recent literature. MEDLINE

Identifiers

PMID34527726
PMCPMC8435805

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.