Evidence map›Paper›PMID 35719150›Full record

ArticleFrontiers in nutrition2022

A Synergistic Association Between Inflammation, Malnutrition, and Mortality in Patients With Diabetics.

Junjie Wang, Liling Chen, Zhidong Huang, Jin Lu, Yanfang Yang, Xiaoli Zhao, Jiabin Tu, Yuxiong Pan, Kunming Bao, Weihua Chen and 5 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

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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

15 authors.

Junjie WangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Liling ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Zhidong HuangDepartment 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, China.
Jin LuDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Yanfang YangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Xiaoli ZhaoDepartment of Cardiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Jiabin TuDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Yuxiong PanDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Kunming BaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Weihua ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Jiaming XiuDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 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, China.
Longtian ChenDepartment of Hematology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 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, China.
Kaihong ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although inflammation is a known predictor for poor prognosis in patients with diabetics, few data report the synergistic association between inflammation, malnutrition, and mortality in patients with diabetics. We aim to explore whether malnutrition modifies the predictor of inflammation on prognosis. Methods: Nutritional status and inflammation were measured in 6,682 patients with diabetics undergoing coronary angiography or percutaneous coronary intervention between January 2007 to December 2018 from Cardiorenal Improvement Registry. Malnutrition was defined as Controlling Nutritional Status (CONUT) score, which was more than 1. High-sensitivity C-reactive protein (hs-CRP) exceeding the median was assessed as a high-risk inflammation. Cox regression models were used to estimate hazard ratios (HR) for mortality across combined hs-CRP and CONUT score categories. Results: During a median follow-up of 5.0 years (interquartile range: 3.0-7.6 years), 759 (11.36%) patients died. The mortality of the four groups (normal nutrition and low hs-CRP level; normal nutrition and high hs-CRP level; malnutrition and low hs-CRP level; and malnutrition and high hs-CRP level) were 7.29, 7.12, 10.71, and 17.31%, respectively. Compared with normal nutrition and low hs-CRP level, an isolated condition of either malnutrition or high hs-CRP level was not associated with any significant risk for all-cause mortality. However, concomitant presence of both high hs-CRP level and malnutrition condition was associated with a significantly increased risk of all-cause mortality (HR: 1.51; 95% CI: 1.20-1.89; Conclusion: The interplay of inflammation and malnutrition in patients with diabetics significantly amplifies the deleterious effects of each as distinct disease entities. A prospective randomized clinical trial is needed in the future to verify the results.

Indexed as

all-cause mortalityCONUT scorediabetes mellitushs-CRPinflammationmalnutrition

Identifiers

PMID35719150
PMCPMC9201752

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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.