Evidence map›Paper›PMID 32370130›Full record

ArticleNutrients2020

Association between Preoperative Nutritional Status and Clinical Outcomes of Patients with Coronary Artery Disease Undergoing Percutaneous Coronary Intervention.

Su-Chan Chen, Ya-Ling Yang, Cheng-Hsueh Wu, Shao-Sung Huang, Wan Leong Chan, Shing-Jong Lin, Chia-Yu Chou, Jaw-Wen Chen, Ju-Pin Pan, Min-Ji Charng and 10 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 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

20 authors at 2 institutions in 1 country.

Su-Chan ChenDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Ya-Ling YangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Cheng-Hsueh WuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Shao-Sung HuangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Wan Leong ChanDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Shing-Jong LinDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Chia-Yu ChouDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Jaw-Wen ChenDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Ju-Pin PanDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Min-Ji CharngDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Ying-Hwa ChenDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Tao-Cheng WuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Tse-Min LuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Pai-Feng HsuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Po-Hsun HuangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Hao-Min ChengDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Chin-Chou HuangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Shih-Hsien SungDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Yenn-Jiang LinDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Hsin-Bang LeuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition is associated with poor outcomes in patients with cancer, heart failure and chronic kidney disease. This study aimed to investigate the predictive value of the Controlling Nutritional Status (CONUT) score in coronary artery disease (CAD) patients.

methodsWe recruited a cohort of 3118 patients with CAD undergoing percutaneous coronary intervention (PCI) from 2005 to 2015. Nutritional status was evaluated using the CONUT score, with higher scores reflecting worse nutritional status.

resultsAfter adjustment for comorbidities and medication, an increased CONUT score was independently associated with a higher risk of acute myocardial infarction (AMI) (HR: 1.13; 95% CI: 1.03-1.24), cardiovascular (CV) death (HR: 1.18; 95% CI: 1.07-1.30), congestive heart failure (CHF) (HR: 1.11; 95% CI: 1.04-1.18), a major adverse cardiovascular event (MACE) (HR: 1.14; 95% CI: 1.07-1.22), and total CV events (HR: 1.11; 95% CI: 1.07-1.15). The subgroup analyses demonstrated that the association of the CONUT score existed independently of other established cardiovascular risk factors. In addition, CONUT significantly improved risk stratification for myocardial infarction (MI), cardiac death, CHF, MACEs and total CV events compared to conventional risk factors in CAD patients by the significant increase in the C-index (p < 0.05) and reclassification risk categories in cardiac death and MACEs. Conclusions The CONUT score improved the risk prediction of adverse events compared to traditional risk factors in CAD patients after percutaneous coronary intervention (PCI).

Indexed as

Heart Disease Risk FactorsNutritional StatusPercutaneous Coronary InterventionPreoperative PeriodAgedAged, 80 and overCohort StudiesCoronary Artery DiseaseFemaleHumansMaleMiddle AgedNutritional Physiological PhenomenaPredictive Value of TestsPrognosisResearch DesignControlling Nutritional Status (CONUT) scorecoronary artery diseasenutritionpercutaneous coronary interventionrisk stratification

Identifiers

PMID32370130
PMCPMC7282248
OpenAlexW3021706654

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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.