Evidence map›Paper›PMID 35433793›Full record

ArticleFrontiers in nutrition2022

Association of Four Nutritional Scores With All-Cause and Cardiovascular Mortality in the General Population.

Heze Fan, Yuzhi Huang, Haoxuan Zhang, Xueying Feng, Zuyi Yuan, Juan Zhou

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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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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

32 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

6 authors.

Heze FanCardiovascular Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yuzhi HuangCardiovascular Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Haoxuan ZhangDepartment of Bioengineering, Southwest Jiaotong University, Chengdu, China.
Xueying FengCardiovascular Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zuyi YuanCardiovascular Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Juan ZhouCardiovascular Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Malnutrition is a well known risk factor for adverse outcomes in patients with cancer, cardiovascular disease (CVD) and chronic kidney disease, but epidemiological evidence on its relationship with the long-term risk of all-cause mortality and cardiovascular death is limited. Methods: A total of 20,116 adults from the United States National Health and Nutrition Examination Survey 2007-2014 were enrolled. The Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT) score, and Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI) were calculated at baseline. Cox regression and the Kaplan-Meier analysis were conducted when participants were divided into three groups according to the tertiles of objective nutritional scores. Restricted cubic spline was performed to further explore the shape of the relationship between all-cause mortality, cardiovascular death, and nutritional scores. In addition, the area under the curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were conducted to assess which nutritional scores have the greatest predictive value for all-cause death and cardiovascular death in the general population. Results: The cumulative incidence of all-cause death and cardiovascular death was significantly higher in participants with a higher CONUT score, lower GNRI, and lower PNI. TCBI showed the worst performance on grading and risk assessment. After adjusting confounding factors, the lowest PNI and GNRI tertile and highest COUNT score were independently and significantly associated with increased risk of all-cause death (all Conclusion: The poorer the nutritional status of the general population, the higher the all-cause mortality and cardiovascular mortality. The PNI score may provide more useful predictive values than other nutritional scores.

Indexed as

all-cause deathcardiovascular deathgeneral populationmalnutritionnutritional scores

Identifiers

PMID35433793
PMCPMC9006821

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