Evidence map›Paper›PMID 30379108›Full record

ArticleEuropean journal of cardiovascular nursing2019

Examining symptom trajectories that predict worse outcomes in post-CABG patients.

Ming-Fen Tsai, Shiow-Luan Tsay, Debra Moser, Tsuey-Yuan Huang, Feng-Chun Tsai

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of cardiovascular nursing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 31 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Ming-Fen Tsai1 Chang Gung University of Science and Technology, College of Nursing, Taiwan.
Shiow-Luan Tsay2 DaYeh University, College of Nursing and Sciences, Taiwan.
Debra Moser3 University of Kentucky, College of Nursing, USA.
Tsuey-Yuan Huang4 Chang Gung University of Science and Technology, College of Nursing, Taiwan.
Feng-Chun Tsai5 Chang Gung Memorial Hospital, Division of Cardiovascular Surgery, Taiwan.
Chang Gung University of Science and Technology · TWChang Gung Memorial Hospital · TWDayeh University · TWUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary artery bypass grafting is one of the most common interventional revascularisation procedures used to treat coronary artery disease worldwide. With a wide variability in postoperative cardiac symptoms, identification of symptom trajectories during the 3-month postoperative recovery period may improve clinicians' abilities to support symptom recovery.

aimsTo identify distinct trajectories of cardiac symptoms seen over time in a cohort of patients during the 3-month post-coronary artery bypass grafting period, and determine clinical characteristics associated with different symptom trajectories postoperatively.

methodsA prospective trial used the cardiac symptom survey to determine patient symptoms at baseline prior to surgery, and at 1 week, 6 weeks and 3 months following coronary artery bypass grafting. A latent class growth model and multivariate logistic regression analyses were used.

resultsData were obtained from patients ( N=198) undergoing coronary artery bypass grafting in six medical centres of Taiwan, through patient medical records and interviews. Based on their frequency, trajectories were explored for the six most common postoperative symptoms including angina, dyspnoea, fatigue, depression, sleep problems and anxiety. We identified two to three distinct classes of trajectories for each symptom. Age, longer intensive care unit stay, fewer vessels bypassed, off-pump coronary artery bypass grafting, smoking history and lack of regular exercise were associated with worse symptom outcome trends over time.

conclusionsUsing this unique trajectories-based research method, we are able to achieve a better understanding of symptom recovery patterns over time among coronary artery bypass grafting patients. Recognising risk factors and potential recovery patterns prior to surgery may allow healthcare providers to deliver targeted discharge planning and individualised care after coronary artery bypass grafting.

Indexed as

PrognosisSymptom AssessmentAdultAgedAged, 80 and overCoronary Artery BypassCoronary Artery DiseaseFemaleHumansMaleMiddle AgedPostoperative ComplicationsProspective StudiesRisk FactorsSurveys and QuestionnairesTaiwananginacoronary artery bypass surgerydepressionfatiguelatent class growth modelSymptom trajectory

Identifiers

PMID30379108
PMCPMC6399732
OpenAlexW2899372215

What OpenQuestion holds

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LicenceCC BY
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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.