Evidence map›Paper›PMID 35411707›Full record

ArticleESC heart failure2022

Diagnostic performance of nutritional indicators in patients with heart failure.

Yoshiharu Kinugasa, Takeshi Sota, Hiroko Kamitani, Natsuko Nakayama, Kensuke Nakamura, Masayuki Hirai, Kiyotaka Yanagihara, Masahiko Kato, Taisuke Ono, Masashige Takahashi and 10 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 5% 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.

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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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

20 authors at 12 institutions in 2 countries.

Yoshiharu KinugasaDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, 683-8504, Japan.
Takeshi SotaDivision of Rehabilitation, Tottori University Hospital, Yonago, Japan.
Hiroko KamitaniDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, 683-8504, Japan.
Natsuko NakayamaDivision of Nutrition, Tottori University Hospital, Yonago, Japan.
Kensuke NakamuraDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, 683-8504, Japan.
Masayuki HiraiDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, 683-8504, Japan.
Kiyotaka YanagiharaDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, 683-8504, Japan.
Masahiko KatoDepartment of Pathobiological Science and Technology, School of Health Science; Major in Clinical Laboratory Science, Faculty of Medicine, Tottori University, Yonago, Japan.
Taisuke OnoDepartment of Cardiology, Kitami Red Cross Hospital, Kitami, Japan.
Masashige TakahashiDepartment of Cardiology, Kushiro City General Hospital, Kushiro, Japan.
Hisashi MatsuoDepartment of Cardiology, Keiwakai Ebetsu Hospital, Ebetsu, Japan.
Ryuichi MatsukawaDepartment of Cardiology, Fukuoka Red Cross Hospital, Fukuoka, Japan.
Ichiro YoshidaDepartment of Cardiology, Obihiro Kyokai Hospital, Obihiro, Japan.
Shigeo KakinokiDepartment of Cardiology, Otaru Kyokai Hospital, Otaru, Japan.
Kazuya YonezawaDepartment of Clinical Research, National Hospital Organization Hakodate National Hospital, Hakodate, Japan.
Yoshihiro HimuraDepartment of Cardiology, Hikone Municipal Hospital, Hikone, Japan.
Takashi YokotaDepartment of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Kazuhiro YamamotoDepartment of Cardiovascular Medicine and Endocrinology and Metabolism, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, 683-8504, Japan.
Miyuki Tsuchihashi-MakayaSchool of Nursing, Kitasato University, Sagamihara, Japan.
Shintaro KinugawaDepartment of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Tottori University · JPHokkaido University · JPTottori University Hospital · JPHikone Central Hospital · JPJapanese Red Cross Fukuoka Hospital · JPKitasato University · JPKushiro City General Hospital · JPNational Hospital Organization · JPObihiro National Hospital · JPOtaru Municipal Hospital · JPRed Cross Hospital · GRTeine Keijinkai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to compare the diagnostic performance of the nutritional indicators, the mini nutritional assessment-short form (MNA-SF), the geriatric nutritional risk index (GNRI), and the controlling nutritional status (CONUT), in heart failure (HF) patients. METHODS AND

resultsNutritional status was prospectively assessed by the aforementioned three nutritional indicators in 150 outpatients with HF who were then followed for 1 year. The prevalence of patients with the nutritional risk as assessed by the MNA-SF, GNRI, and CONUT scores was 50.0%, 13.3%, and 54.0%, respectively. There was slight agreement of nutritional risk assessment between the MNA-SF and GNRI scores (κ coefficient = 0.16), as well as the GNRI and CONUT scores (κ = 0.11), but poor agreement between the MNA-SF and CONUT scores (κ = -0.09). The CONUT score had the lowest area under the curve (AUC) for the identification of low body weight, low muscle mass, and low physical function among the three indicators (all P < 0.05). Compared with the MNA-SF score, both the GNRI and CONUT scores had lower AUCs for the identification of reduced dietary intake and weight loss (all P < 0.05). There was no significant difference in predicting all-cause mortality or HF rehospitalization among the three indicators. The prescription of statins reduced the diagnostic performance of the CONUT score, as the CONUT score includes cholesterol level assessment.

conclusionsOf the three indicators, the diagnostic ability of the MNA-SF score was the highest, and that of the CONUT score was the lowest, for the assessment of HF patient nutritional status. The CONUT score may misrepresent nutritional status, particularly in patients receiving statins.

Indexed as

Heart FailureHydroxymethylglutaryl-CoA Reductase InhibitorsMalnutritionAgedGeriatric AssessmentHumansNutrition AssessmentHydroxymethylglutaryl-CoA Reductase InhibitorsCONUTGNRIMalnutritionMNA-SFStatin

Identifiers

PMID35411707
PMCPMC9288786
OpenAlexW4223519433

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Texttitle and abstract
LicenceCC BY-NC
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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.