Evidence map›Paper›PMID 32637567›Full record

ArticleInternational journal of cardiology. Heart & vasculature2020

The controlling nutritional status score predicts outcomes of cardiovascular events in patients with heart failure with preserved ejection fraction.

Takashi Komorita, Eiichiro Yamamoto, Daisuke Sueta, Takanori Tokitsu, Koichiro Fujisue, Hiroki Usuku, Taiki Nishihara, Fumi Oike, Masafumi Takae, Koichi Egashira and 8 more

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
1.3field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 14 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

18 authors at 1 institution in 1 country.

Takashi KomoritaDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Eiichiro YamamotoDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Daisuke SuetaDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Takanori TokitsuDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Koichiro FujisueDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Hiroki UsukuDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Taiki NishiharaDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Fumi OikeDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Masafumi TakaeDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Koichi EgashiraDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Seiji TakashioDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Miwa ItoDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kenshi YamanagaDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Yuichiro ArimaDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kenji SakamotoDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Satoru SuzukiDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Koichi KaikitaDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine and Center for Metabolic Regulation of Healthy Aging, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kumamoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsThe relationship between cardiovascular outcomes and the Controlling Nutritional Status (CONUT) score in heart failure (HF) with preserved ejection fraction (HFpEF) patients is unknown. This study aimed to evaluate the relationship between the score and cardiovascular outcomes in HFpEF patients. METHODS AND

resultsA total of 506 consecutive HFpEF patients were prospectively observed for up to 1500 days or until the occurrence of cardiovascular events. The mean age was 71.6 ± 9.4 years. Cardiovascular outcomes were compared between the CONUT score 0-1 group with a normal nutritional state (normal group), the CONUT score 2-4 group with a light degree of undernutrition (light group), and the CONUT score 5-8 group with a moderate degree of undernutrition (moderate group). In this study, there were no patients who scored 9-12, which was defined as a severe state of undernutrition. Overall, 238 cardiovascular events were observed during the follow-up period (median: 1159 days). Kaplan-Meier analysis showed that the moderate group was at higher risk of composite cardiovascular events than the normal group

conclusionNutritional screening using the CONUT score may be useful for predicting cardiovascular events in HFpEF patients.

Indexed as

Clinical outcomeCONUT scoreHFpEF

Identifiers

PMID32637567
PMCPMC7326720
OpenAlexW3038000379

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.