Evidence map›Paper›PMID 34285546›Full record

ArticleJournal of inflammation research2021

Combining Preoperative and Postoperative Inflammatory Indicators Can Better Predict the Recurrence of Hepatocellular Carcinoma After Partial Hepatectomy.

Meilong Wu, Shizhong Yang, Xiaobin Feng, Chengquan Li, Xiangchen Liu, Zhenyu Zhang, Ying Xiao, Chuchu Liu, Jiahong Dong

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In one paragraph

Article in Journal of inflammation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

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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

9 authors.

Meilong Wu *School of Clinical Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.ORCID 0000-0002-1336-2559
Shizhong Yang *School of Clinical Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.
Xiaobin FengSchool of Clinical Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.
Chengquan LiSchool of Clinical Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.
Xiangchen LiuSchool of Clinical Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.
Zhenyu ZhangSchool of Clinical Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.
Ying XiaoSchool of Clinical Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.
Chuchu LiuHepato-pancreato-biliary Surgery of Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, Qinghai, 810001, People's Republic of China.
Jiahong DongSchool of Clinical Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrevious studies have shown that various preoperative inflammatory indicators can predict the prognosis of hepatocellular carcinoma (HCC), but the role of postoperative inflammatory indicators remains unclear. This study aimed to explore the prognostic value of postoperative inflammatory indicators and whether combining preoperative and postoperative inflammatory indicators can improve the predictive performance of the prognostic model. PATIENTS AND

methodsEighty-eight patients with primary HCC were included in this study. A preoperative model, postoperative model, and combined model that integrated preoperative and postoperative inflammatory indicators were established. The prognostic value of the models was evaluated by the area under the curve of time-dependent receiver operating characteristic curves (td-AUC).

resultsMultivariate analysis of preoperative and postoperative inflammatory indicators and clinicopathological indicators found that tumor number, alpha-fetoprotein (AFP) level, and the preoperative platelet-lymphocyte ratio (prePLR), preoperative prognostic nutritional index (prePNI), and postoperative neutrophil-lymphocyte ratio (postNLR) were independent prognostic factors for the disease-free survival. The prognostic efficacy of the postNLR at 2 years and 3 years was better than that of tumor number, AFP level, and the prePLR, and prePNI. The combined model had higher td-AUC values than the preoperative model, postoperative model, American Joint Committee on Cancer 8th edition stage, and Barcelona Clinic Liver Cancer stage at 2 years (0.814 vs 0.754, 0.765, 0.513 and 0.527, respectively), and 3 years (0.786 vs 0.749, 0.753, 0.509 and 0.529, respectively). The predictive performance of the combined model was better than that of the preoperative model, postoperative model, and traditional clinical stage.

conclusionPostoperative inflammatory indicators were valuable prognostic indicators. The combination of preoperative and postoperative inflammatory indicators improved the predictive performance of the prognostic model. We should pay more attention to postoperative inflammatory indicators.

Indexed as

disease-free survivalhepatocellular carcinomainflammationneutrophil-lymphocyte ratiopostoperative

Identifiers

PMID34285546
PMCPMC8286132

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