Evidence map›Paper›PMID 36440037›Full record

ArticleFrontiers in cardiovascular medicine2022

Association between energy intake patterns and outcome in US heart failure patients.

Zhang Fang, Zhe Wang, Xiaodi Cao, Ze-Mu Wang, Chuanchuan Yu, Weizhu Ju, Dianfu Li

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

7 authors.

Zhang FangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhe WangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiaodi CaoDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ze-Mu WangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chuanchuan YuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Weizhu JuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Dianfu LiDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between dietary energy patterns, calories, and the outcomes of heart failure (HF) is still unclear. Objectives: To evaluate the proper energy intake patterns and daily calorie intake in patients with heart failure among US adults. Methods: The data were derived from the 2001-2014 National Health and Nutrition Examination Survey (NHANES). A calorie intake pattern variable was created using latent class analysis (LCA) based on the calorie ratio of three major nutrients. Cox proportional hazard regression models were used to evaluate the hazard ratios (HR) and 95% confidence intervals (CI) of the association between calorie intake and energy patterns. The primary endpoint was all-cause mortality. Results: Among 991 participants (mean age 67.3 ± 12.9 years; 55.7% men) who suffered from heart failure; the median calorie intake was 1,617 kcal/day [interquartile range (IQR): 1,222-2,154 kcal/day]. In the multivariable-adjusted model, moderate malnutrition was more frequent to death (HR: 2.15; 95% CI: 1.29-3.56). Low-carbohydrate pattern (LCP) and median-carbohydrate pattern (MCP) had lower risks of death compared to high-carbohydrate pattern (HCP) (LCP: HR: 0.76; 95% CI: 0.59-0.97; MCP: HR: 0.77; 95% CI: 0.60-0.98). No association between different amounts of calorie intake and all-cause mortality was found. There was an adjusted significant interaction between calorie intake and energy intake patterns ( Conclusion: Both LCP and MCP, compared to HCP, were associated with better outcomes in the HF population. The relationship between energy intake and all-cause death may be influenced by energy intake patterns in HF patients.

Indexed as

all-cause mortalitydietary patternsheart failureNational Health and Nutrition Examination Surveynutrient

Identifiers

PMID36440037
PMCPMC9681902

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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.