Evidence map›Paper›PMID 29123387›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2017

Longitudinal change of COPD assessment test (CAT) in a telehealthcare cohort is associated with exacerbation risk.

Frank Rassouli, Florent Baty, Daiana Stolz, Werner Christian Albrich, Michael Tamm, Sandra Widmer, Martin Hugo Brutsche

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Observational
  11. The Exacerbation of Chronic Obstructive Pulmonary Disease: Which Symptom is Most Important to Monitor?International journal of chronic obstructive pulmonary disease · 2023
    Article
  12. A Telemedicine Approach for Monitoring COPD: A Prospective Feasibility and Acceptability Cohort Study.International journal of chronic obstructive pulmonary disease · 2022
    Article
  13. COPD - do the right thing.BMC family practice · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Defining Chronic Mucus Hypersecretion Using the CAT in the SPIROMICS Cohort.International journal of chronic obstructive pulmonary disease · 2020
    Article
  18. Article
  19. Evaluation and Exploration on the Effect of the Management of Chronic Obstructive Pulmonary Disease in Rural Areas through an Internet-Based Network Consulting Room.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2018
    Article
  20. Observational
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

7 authors.

Frank RassouliDepartment of Pulmonary and Sleep Medicine, Cantonal Hospital St Gallen, St Gallen, Switzerland.
Florent BatyDepartment of Pulmonary and Sleep Medicine, Cantonal Hospital St Gallen, St Gallen, Switzerland.
Daiana StolzDepartment of Pulmonary and Sleep Medicine, University Hospital Basel, Basel, Switzerland.
Werner Christian AlbrichDivision of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland.
Michael TammDepartment of Pulmonary and Sleep Medicine, University Hospital Basel, Basel, Switzerland.
Sandra WidmerDepartment of Pulmonary and Sleep Medicine, Cantonal Hospital St Gallen, St Gallen, Switzerland.
Martin Hugo BrutscheDepartment of Pulmonary and Sleep Medicine, Cantonal Hospital St Gallen, St Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are only scarce data regarding the evolution of the chronic obstructive pulmonary disease (COPD) assessment test (CAT) over time. Our aim was to investigate the evolution of the CAT in a telehealthcare (THC) cohort and to evaluate its potential to predict exacerbations. PATIENTS AND

methodsThe CAT was measured weekly over up to 1 year in 40 COPD patients undergoing a THC intervention. The evolution of the CAT was analyzed using linear regression. The association between this evolution and the occurrence of exacerbations was evaluated using the Andersen-Gill formulation of the Cox proportional hazards model for the analysis of recurrent time-to-event data with time-varying predictors.

resultsThe median CAT at inclusion was 17 (interquartile range 13-22) points. During the study, 25% of patients had a significant negative slope (median -7 points per year [ppy]), 38% were stable (median +0 ppy) and 38% had a significant positive slope (median +6 ppy). The median slope of the CAT in the overall cohort was +1 (interquartile range -3 to +6) ppy. A significant positive association was found between the change in CAT scores and the risk of exacerbations (hazard ratio =1.08, 95% CI: 1.03-1.13;

conclusionSixty-three percent of the COPD patients monitored by THC experienced a stable or improved CAT during 1-year follow-up. We found a significant positive association between the evolution of the CAT over time and the risk of exacerbations. In about one-fifth of patients, there was a significant learning effect in filling out the CAT, before reliable results could be obtained. The evolution of the CAT could help to assess the risk for future exacerbations.

Indexed as

Health Status IndicatorsSurveys and QuestionnairesAdultAgedAged, 80 and overDisease ProgressionFemaleHealth StatusHumansLinear ModelsMaleMiddle AgedMultivariate AnalysisNonlinear DynamicsPredictive Value of TestsPrognosisacute exacerbations of COPDCOPD assessment testCOPD managementtelemedicinetelemonitoring

Identifiers

PMID29123387
PMCPMC5661474

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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.