Evidence map›Paper›PMID 34012658›Full record

ArticleJournal of gastrointestinal oncology2021

Prognostic value and association of sarcopenic obesity and systemic inflammatory indexes in patients with hepatocellular carcinoma following hepatectomy and the establishment of novel predictive nomograms.

Chengyu Liao, Ge Li, Yannan Bai, Songqiang Zhou, Long Huang, Maolin Yan, Funan Qiu, Jiangzhi Chen, Yaodong Wang, Yifeng Tian and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 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

11 authors at 2 institutions in 1 country.

Chengyu LiaoShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Ge LiDepartment of Hepatobiliary Surgery, Union Hospital, Fujian Medical University, Fuzhou, China.
Yannan BaiShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Songqiang ZhouShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Long HuangShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Maolin YanShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Funan QiuShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Jiangzhi ChenDepartment of Hepatobiliary Surgery, Union Hospital, Fujian Medical University, Fuzhou, China.
Yaodong WangShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Yifeng TianShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Shi ChenShengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, China.
Fujian Medical University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe specific impacts of sarcopenic obesity (SO) on hepatocellular carcinoma (HCC) and the association between SO and systemic inflammation remain unclear. This study aimed to investigate the prognostic value and association of SO and systemic inflammation with outcomes after hepatectomy for HCC and develop novel nomograms based on SO and inflammatory indexes for survival prediction.

methodsWe retrospectively enrolled 452 patients with HCC who underwent radical hepatectomy between January 2012 and March 2015 in Fujian Provincial Hospital as the training cohort. In addition, 275 patients during the same period were enrolled as the external validation cohort. Patients were classified into different groups according to the presence of sarcopenia and obesity. Different inflammation indexes were evaluated to select the best predictor of overall survival (OS) and recurrence-free survival (RFS). Univariate and multivariate logistic regression were performed to investigate the associations between inflammatory indexes and SO. The inflammatory indexes with the highest predictive values and SO were selected for subgroup analyses to establish a novel classification system: the SOLMR grade. SOLMR grades identified in the multivariate Cox analysis were selected to construct novel nomograms for OS and RFS.

resultsSO (P<0.001) was an independent risk factor for OS and RFS. The lymphocyte-monocyte ratio (LMR) had the highest areas under the receiver operating characteristic (ROC) curves (AUCs) for OS (P<0.001) and RFS (P<0.001) and was identified as an independent factor of SO (P=0.001). SO and the LMR were selected to establish the SOLMR grade. Multivariate Cox analysis revealed that SOLMR grade was a significant independent predictor of OS (P<0.001) and RFS (P<0.001). Nomograms based on SOLMR grades were generated and accurately predicted 1-, 3- and 5-year OS and RFS in HCC patients. The C-index of the novel nomograms was higher than those of the other conventional staging systems (P<0.001).

conclusionsBoth SO and the LMR were independent risk factors for OS and RFS in HCC patients after hepatectomy. The LMR was an independent factor of SO. The novel nomograms developed from the SOLMR grading system combining SO with the LMR provide good prognostic estimates of the outcomes of HCC patients.

Indexed as

Hepatocellular carcinoma (HCC)inflammatory indexesnomogramprognostic valuesarcopeniasarcopenic obesity (SO)

Identifiers

PMID34012658
PMCPMC8107609
OpenAlexW3148117677

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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.