Evidence map›Paper›PMID 28653142›Full record

ArticleWorld journal of surgery2017

Prognostic Significance of Preoperative Controlling Nutritional Status (CONUT) Score in Patients Undergoing Hepatic Resection for Hepatocellular Carcinoma.

Norifumi Harimoto, Tomoharu Yoshizumi, Kazuhito Sakata, Akihisa Nagatsu, Takashi Motomura, Shinji Itoh, Noboru Harada, Toru Ikegami, Hideaki Uchiyama, Yuji Soejima and 1 more

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Article in World journal of surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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

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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Preoperative Controlling Nutritional Status plus Tumor Burden Score for the Assessment of Prognosis after Curative Liver Resection for Hepatocellular Carcinoma.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2021
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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

11 authors.

Norifumi HarimotoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. harimoto@surg2.med.kyushu-u.ac.jp.
Tomoharu YoshizumiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Kazuhito SakataDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Akihisa NagatsuDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Takashi MotomuraDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Shinji ItohDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Noboru HaradaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Toru IkegamiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Hideaki UchiyamaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Yuji SoejimaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Yoshihiko MaeharaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Controlling Nutritional Status (CONUT) score is an objective tool widely used to assess nutritional status in patients with inflammatory disease, chronic heart failure, and chronic liver disease. The relationship between CONUT score and prognosis in patients who have undergone hepatic resection, however, has not been evaluated.

methodsData were retrospectively collected for 357 consecutive patients with hepatocellular carcinoma (HCC) who had undergone hepatic resection with curative intent between January 2004 and December 2015. The patients were assigned to two groups, those with preoperative CONUT scores ≤3 (low CONUT score) and >3 (high CONUT score), and their clinicopathological characteristics, surgical outcomes, and long-term survival were compared.

resultsOf the 357 patients, 69 (19.3%) had high (>3) and 288 (80.7%) had low (≤3) preoperative CONUT scores. High CONUT score was significantly associated with HCV infection, low serum albumin and cholesterol concentrations, low lymphocyte count, shorter prothrombin time, Child-Pugh B and liver damage B scores, and blood transfusion. Multivariate analysis identified six factors prognostic of poor overall survival (older age, liver damage B score, high CONUT score, poor tumor differentiation, the presence of intrahepatic metastases, and blood transfusion) and five factors prognostic of reduced recurrence-free survival (older age, higher ICGR15, larger tumor size, presence of intrahepatic metastasis, and blood transfusion).

conclusionsIn patients with HCC, preoperative CONUT scores are predictive of poorer overall survival, even after adjustments for other known predictors.

Indexed as

Nutritional StatusAgedAge FactorsBlood TransfusionCarcinoma, HepatocellularFemaleHepatectomyHumansLiver NeoplasmsMaleMiddle AgedNeoplasm GradingPreoperative PeriodPrognosisRetrospective StudiesSurvival Rate

Identifiers

PMID28653142

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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.