Evidence map›Paper›PMID 34290497›Full record

Observational studyClinical interventions in aging2021

Impact of the Malnutrition on Mortality in Elderly Patients Undergoing Percutaneous Coronary Intervention.

Liling Chen, Zhidong Huang, Jin Lu, Yanfang Yang, Yuxiong Pan, Kunming Bao, Junjie Wang, Weihua Chen, Jin Liu, Yong Liu and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Clinical interventions in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  8. Review
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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

13 authors.

Liling Chen *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Zhidong Huang *Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.ORCID 0000-0002-5267-5769
Jin Lu *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Yanfang YangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Yuxiong PanDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Kunming BaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Junjie WangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Weihua ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Jin LiuDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.
Yong LiuDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.
Kaihong ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Weiguo LiDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, People's Republic of China.
Shiqun ChenDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMalnutrition has been shown to be related to adverse clinical outcomes in patients with heart failure, hypertension, atrial fibrillation and other cardiovascular diseases. However, in the patients with coronary artery disease (CAD) undergoing percutaneous coronary interventions (PCI), especially in the elderly, the association of nutritional state and all-cause mortality remains unknown. We aimed to investigate the association of malnutrition with all-cause mortality in the elder patients undergoing PCI. PATIENTS AND

methodsBased on the largest retrospective and observational cohort study from January 2007 to December 2017, the Controlling Nutritional Status (CONUT) score was applied to 21,479 consecutive patients with age ≥60 who undergoing PCI for nutritional assessment. Participants were classified as absent, mild, moderate and severe malnutrition by CONUT score. The Kaplan-Meier method was used to compare all-cause mortality among the above four groups. Multivariable Cox proportional hazard regression analyses were performed to examine the association of malnutrition with all-cause mortality.

resultsAccording to the CONUT score, 48.19%, 15.08% and 0.94% patients were mildly, moderately and severely malnourished, respectively. During a median follow-up of 5.16 years (interquartile range: 3.02 to 7.89 years), 3173 (14.77%) patients died. Kaplan-Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with a worse nutritional status. Compared with normal nutritional state, malnutrition was associated with significantly increased risk for all-cause mortality (adjusted hazard ratio for mild, moderate and severe degrees of malnutrition, respectively: 1.20 [95% confidence interval (CI): 1.09 to 1.33], 1.32 [95% CI: 1.17 to 1.49] and 1.76 [95% CI: 1.33 to 2.33]).

conclusionMalnutrition is prevalent among elderly patients with CAD undergoing PCI, and is strongly related to the all-cause mortality increasing. For elderly patients with CAD undergoing PCI, it is necessary to assess the status of nutrition, and evaluate the efficacy of nutritional interventions.

Indexed as

AgedChinaCoronary Artery DiseaseFemaleHumansMaleMalnutritionMiddle AgedPercutaneous Coronary InterventionRetrospective StudiesTreatment OutcomeControlling Nutritional Status scoreelderlymalnutritionpercutaneous coronary intervention

Identifiers

PMID34290497
PMCPMC8286965

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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.