Evidence map›Paper›PMID 28912447›Full record

ArticleScientific reports2017

Development and Validation of a Nomogram for Predicting Survival in Patients with Advanced Pancreatic Ductal Adenocarcinoma.

Qing-Long Deng, Shu Dong, Lei Wang, Chen-Yue Zhang, Hai-Feng Ying, Zhao-Shen Li, Xiao-Heng Shen, Yuan-Bao Guo, Zhi-Qiang Meng, Jin-Ming Yu and 1 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

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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.

Qing-Long DengInstitute of Clinical Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, 200032, Shanghai, China.
Shu DongDepartment of Integrative Oncology, Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Lei WangDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Second Military Medical University, 200433, Shanghai, China.
Chen-Yue ZhangDepartment of Integrative Oncology, Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Hai-Feng YingDepartment of Integrative Medicine of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
Zhao-Shen LiDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Second Military Medical University, 200433, Shanghai, China.
Xiao-Heng ShenDepartment of Integrative Medicine of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
Yuan-Bao GuoDepartment of Integrative Medicine of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
Zhi-Qiang MengDepartment of Integrative Oncology, Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
Jin-Ming YuInstitute of Clinical Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, 200032, Shanghai, China. jmy@fudan.edu.cn.
Qi-Wen ChenInstitute of Clinical Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, 200032, Shanghai, China. cqwly@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to develop and validate an effective prognostic nomogram for advanced PDAC patients. We conducted a prospective multicenter cohort study involving 1,526 advanced PDAC patients from three participating hospitals in China between January 1, 2004 and December 31, 2013. Two thirds of the patients were randomly assigned to the training set (n = 1,017), and one third were assigned to the validation set (n = 509). Multivariate cox regression analysis was performed to identify significant prognostic factors for overall survival to develop the nomogram. Internal and external validation using C-index and calibration curve were conducted in the training set and validation set respectively. As results, seven independent prognostic factors were identified: age, tumor stage, tumor size, ALT (alanine aminotransferase), ALB (albumin), CA 19-9, HBV infection status, and these factors were entered into the nomogram. The proposed nomogram showed favorable discrimination and calibration both in the training set and validation set. The C-indexes of the training set and validation set were 0.720 and 0.696 respectively, which were both significantly higher than that of the staging system (C-index = 0.613, P < 0.001). In conclusion, the proposed nomogram may be served as an effective tool for prognostic evaluation of advanced PDAC.

Indexed as

Decision Support TechniquesNomogramsAdenocarcinomaAdultAgedCarcinoma, Pancreatic DuctalChinaFemaleHumansMaleMiddle AgedPrognosisProspective StudiesSurvival Analysis

Identifiers

PMID28912447
PMCPMC5599641

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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.