ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2016
Interaction between the Kansas City Cardiomyopathy Questionnaire and the Pocock's clinical score in predicting heart failure outcomes.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Self-reported health and quality of life outcomes of heart failure patients in the aftermath of a national economic crisis: a cross-sectional study.ESC heart failure · 2019Article
- Implant Strategy-Specific Changes in Symptoms in Response to Left Ventricular Assist Devices.The Journal of cardiovascular nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeHeart failure (HF) is a complex syndrome. Its appropriate management should combine several health measurements. We assessed the relationship between the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the Pocock's clinical score.
methodsWe conducted a prospective registry of HF outpatients. The main outcome was occurrence of death or hospitalization during a 6-month follow-up. A multivariate logistic regression was performed, including the KCCQ overall summary score, the Pocock's clinical score and their interaction in the model.
resultsFrom January 2008 to December 2010, 143 patients were involved. Mean age of patients was 68 years, and 74% were men. KCCQ's overall summary score and Pocock's clinical score were inversely correlated (r = -0.24, p = 0.026). A total of 61 (42.7%) events occurred. There was a high proportion of events (77.8%) in patients with a Pocock's clinical score > 50%, whatever the KCCQ score value. When the KCCQ score was ≤ 50 %, there was a low increase in risk as the Pocock's clinical score increased (OR 2.0 [0.6; 6.6]). However, when the KCCQ score was between 50 and 75 or ≥ 75 %, there was a high increase in risk as the Pocock's clinical score increased (OR 6.9 [1.2; 38.9] and OR 7.4 [0.8; 69.7], respectively).
conclusionsPatients with a high Pocock's clinical score are at a high risk of death or hospitalization. For patients with a low Pocock's clinical score, the KCCQ score can identify those at risk of these events.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.