Evidence map›Paper›PMID 22132691›Full record

ArticleCough (London, England)2011

The objective assessment of cough frequency: accuracy of the LR102 device.

Sophie Leconte, Giuseppe Liistro, Patrick Lebecque, Jean-Marie Degryse

Abstract read
In one paragraph

Article in Cough (London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. The present and future of cough counting tools.Journal of thoracic disease · 2020
    Review
  8. 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

4 authors.

Sophie LeconteInstitute of Health and Society, Université Catholique de Louvain (UCL),Clos-Chapelle-aux-Champs 30 bte 3015 Brussels, Belgium. jean-marie.degryse@uclouvain.be.
Giuseppe Liistro
Patrick Lebecque
Jean-Marie Degryse

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe measurement of cough frequency is problematic and most often based on subjective assessment. The aim of the study was to assess the accuracy of the automatic identification of cough episodes by LR102, a cough frequency meter based on electromyography and audio sensors.

methodsTen adult patients complaining of cough were recruited in primary care and hospital settings. Participants were asked to wear LR102 for 4 consecutive hours during which they were also filmed.

resultsMeasures of cough frequency by LR102 and manual counting were closely correlated (r = 0.87 for number of cough episodes per hour; r = 0.89 for number of single coughs per hour) but LR102 overestimated cough frequency. Bland-Altman plots indicate that differences between the two measurements were not influenced by cough frequency.

conclusionsLR102 offers a useful estimate of cough frequency in adults in their own environment, while significantly reducing the time required for analysis.

Identifiers

PMID22132691
PMCPMC3268712

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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.