Evidence map›Paper›PMID 28673346›Full record

ArticleBMC cancer2017

Risk stratification system to predict recurrence of intrahepatic cholangiocarcinoma after hepatic resection.

Seogsong Jeong, Qingbao Cheng, Lifeng Huang, Jian Wang, Meng Sha, Ying Tong, Lei Xia, Longzhi Han, Zhifeng Xi, Jianjun Zhang and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 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

13 authors.

Seogsong JeongDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Qingbao ChengDepartment of Biliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China.
Lifeng HuangDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Jian WangDepartment of Biliary and Pancreatic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Meng ShaDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Ying TongDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Lei XiaDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Longzhi HanDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Zhifeng XiDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Jianjun ZhangDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Xiaoni KongDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China.
Jinyang GuDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China. gjynyd@126.com.
Qiang XiaDepartment of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Dongfang Road, NO. 1630, Shanghai, 200127, China. xiaqiang@shsmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious nomograms for intrahepatic cholangiocarcinoma (ICC) were conducted to predict overall survival, which could be influenced by various factors. Herein, we conducted our nomogram to predict recurrence of the tumor only after hepatic resection.

methodsThe nomogram was established with prognostic factors for the relapse-free survival (RFS) analyzed from our single center cohort and was evaluated by comparing with the American Joint Committee on Cancer (AJCC) staging system for the predictive accuracy.

resultsSeropositivity of hepatitis B surface antigen (hazard ratio [HR], 0.505; 95% confidence interval [CI], 0.279 to 0.914; P = 0.024), tumor size of larger than 5 cm (HR, 1.947; 95% CI, 1.177 to 3.219; P = 0.009), Child-Pugh score of B (HR, 3.067; 95% CI, 1.293 to 7.275; P = 0.011), and lymph node metastasis (HR, 2.790; 95% CI, 1.628 to 4.781; P < 0.001) were found to be independent prognostic factors that significantly affected RFS. The calibration curve for the prediction revealed excellent agreement between estimation by our stratification system and actual RFS. The concordance C index of the nomogram (0.71; 95% CI, 0.65 to 0.77) revealed to be significantly higher than the AJCC staging system (0.66; 95% CI, 0.60 to 0.72). In the validation cohort, our risk stratification system (C-index 0.65; 95% CI, 0.59 to 0.71) also revealed more precise prediction than the AJCC staging system (C-index, 0.57; 95% CI, 0.50 to 0.64).

conclusionsOur nomogram could more accurately predict recurrence of ICC after hepatic resection than the AJCC staging system.

Indexed as

AdultAgedAged, 80 and overBile Duct NeoplasmsCholangiocarcinomaFemaleHepatectomyHumansMaleMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalNeoplasm StagingNomogramsPrognosisReproducibility of ResultsHepatic resectionHepatitis B virus-associated intrahepatic cholangiocarcinomaNomogramRisk stratificationStaging system

Identifiers

PMID28673346
PMCPMC5496435

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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.