Evidence map›Paper›PMID 26920682›Full record

SynthesisHeart failure reviews2016

Review of nutritional screening and assessment tools and clinical outcomes in heart failure.

Hong Lin, Haifeng Zhang, Zheng Lin, Xinli Li, Xiangqin Kong, Gouzhen Sun

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Heart failure reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05655910 (Enhanced Nutritional Optimization in LVAD), which is not on this map. Cited by 95 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 6 pooled it
7.6field-weighted citation impact, top 2% 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.

NCT05655910 narecruitingnot on this mapstarted 2022, after this paper: background citation

Enhanced Nutritional Optimization in LVAD (ENOL) Trial

TypeinterventionalSponsorColumbia UniversityRan2022 to 2027Enrolled50ConditionsHeart Failure, Gut Microbiome, Nutritional DeficiencyArmsEnsure Surgery Immunonutrition shake
3 · Its place in the literature

Who cites it

95 citing papers in PubMed, 6 syntheses or guidelines pooled it, 208 citations in OpenAlex.

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35 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Hong LinNanjing Medical University School of Nursing, Nanjing, China.
Haifeng ZhangDepartment of Cardiology, The First Affiliated Hospital, Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, China.
Zheng LinDepartment of Cardiology, The First Affiliated Hospital, Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, China.
Xinli LiDepartment of Cardiology, The First Affiliated Hospital, Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, China.
Xiangqin KongDepartment of Cardiology, The First Affiliated Hospital, Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, China.
Gouzhen SunNanjing Medical University School of Nursing, Nanjing, China. gzsun100@163.com.ORCID 0000-0003-4242-391X
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have suggested that undernutrition as defined using multidimensional nutritional evaluation tools may affect clinical outcomes in heart failure (HF). The evidence supporting this correlation is unclear. Therefore, we conducted this systematic review to critically appraise the use of multidimensional evaluation tools in the prediction of clinical outcomes in HF. We performed descriptive analyses of all identified articles involving qualitative analyses. We used STATA to conduct meta-analyses when at least three studies that tested the same type of nutritional assessment or screening tools and used the same outcome were identified. Sensitivity analyses were conducted to validate our positive results. We identified 17 articles with qualitative analyses and 11 with quantitative analysis after comprehensive literature searching and screening. We determined that the prevalence of malnutrition is high in HF (range 16-90 %), particularly in advanced and acute decompensated HF (approximate range 75-90 %). Undernutrition as identified by multidimensional evaluation tools may be significantly associated with hospitalization, length of stay and complications and is particularly strongly associated with high mortality. The meta-analysis revealed that compared with other tools, Mini Nutritional Assessment (MNA) scores were the strongest predictors of mortality in HF [HR (4.32, 95 % CI 2.30-8.11)]. Our results remained reliable after conducting sensitivity analyses. The prevalence of malnutrition is high in HF, particularly in advanced and acute decompensated HF. Moreover, undernutrition as identified by multidimensional evaluation tools is significantly associated with unfavourable prognoses and high mortality in HF.

Indexed as

Nutrition AssessmentAgedGeriatric AssessmentHeart FailureHospitalizationHumansMalnutritionNutritional StatusRisk FactorsClinical outcomesHeart failureNutritional assessmentNutritional screening

Identifiers

PMID26920682
OpenAlexW2285974308

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.