Evidence map›Paper›PMID 28656485›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2018

Controlling Nutritional Status (CONUT) score is a prognostic marker for gastric cancer patients after curative resection.

Daisuke Kuroda, Hiroshi Sawayama, Junji Kurashige, Masaaki Iwatsuki, Tsugio Eto, Ryuma Tokunaga, Yuki Kitano, Kensuke Yamamura, Mayuko Ouchi, Kenichi Nakamura and 6 more

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Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

202 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  13. [Comparison of preoperative nutritional scoring systems for predicting survival in upper tract urothelial carcinoma].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
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142 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Daisuke KurodaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Hiroshi SawayamaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Junji KurashigeDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Masaaki IwatsukiDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Tsugio EtoDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Ryuma TokunagaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Yuki KitanoDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Kensuke YamamuraDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Mayuko OuchiDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Kenichi NakamuraDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Yoshifumi BabaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Yasuo SakamotoDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Yoichi YamashitaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Naoya YoshidaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Akira ChikamotoDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.
Hideo BabaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan. hdobaba@kumamoto-u.ac.jp.ORCID http://orcid.org/0000-0002-3474-2550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundControlling Nutritional Status (CONUT), as calculated from serum albumin, total cholesterol concentration, and total lymphocyte count, was previously shown to be useful for nutritional assessment. The current study investigated the potential use of CONUT as a prognostic marker in gastric cancer patients after curative resection.

methodsPreoperative CONUT was retrospectively calculated in 416 gastric cancer patients who underwent curative resection at Kumamoto University Hospital from 2005 to 2014. The patients were divided into two groups: CONUT-high (≥4) and CONUT-low (≤3), according to time-dependent receiver operating characteristic (ROC) analysis. The associations of CONUT with clinicopathological factors and survival were evaluated.

resultsCONUT-high patients were significantly older (p < 0.001) and had a lower body mass index (p = 0.019), deeper invasion (p < 0.001), higher serum carcinoembryonic antigen (p = 0.037), and higher serum carbohydrate antigen 19-9 (p = 0.007) compared with CONUT-low patients. CONUT-high patients had significantly poorer overall survival (OS) compared with CONUT-low patients according to univariate and multivariate analyses (hazard ratio: 5.09, 95% confidence interval 3.12-8.30, p < 0.001). In time-dependent ROC analysis, CONUT had a higher area under the ROC curve (AUC) for the prediction of 5-year OS than the neutrophil lymphocyte ratio, the Modified Glasgow Prognostic Score, or pStage. When the time-dependent AUC curve was used to predict OS, CONUT tended to maintain its predictive accuracy for long-term survival at a significantly higher level for an extended period after surgery when compared with the other markers tested.

conclusionsCONUT is useful for not only estimating nutritional status but also for predicting long-term OS in gastric cancer patients after curative resection.

Indexed as

Lymphocyte CountAdultAgedAged, 80 and overArea Under CurveCholesterolDisease-Free SurvivalFemaleGastrectomyHumansKaplan-Meier EstimateMaleMiddle AgedNutritional StatusPrognosisRetrospective StudiesCholesterolSerum AlbuminCONUTGastrectomyGastric cancerPrognostic factorTime-dependent ROC

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PMID28656485

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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.