Evidence map›Paper›PMID 31900571›Full record

ArticleWorld journal of surgery2020

Prognostic Nomogram for Resected Pancreatic Adenocarcinoma: A TRIPOD-Compliant Retrospective Long-Term Survival Analysis.

Dong Xu, Kai Zhang, Mingna Li, J P Neoptolemos, Junli Wu, Wentao Gao, Pengfei Wu, Baobao Cai, Jie Yin, Guodong Shi and 3 more

Abstract read
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In one paragraph

Article in World journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

13 authors.

Dong XuPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.ORCID 0000-0002-5202-4309
Kai ZhangPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Mingna LiPathology Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
J P NeoptolemosPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Junli WuPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Wentao GaoPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Pengfei WuPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Baobao CaiPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Jie YinPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Guodong ShiPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Zipeng LuPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. surgeonmark@hotmail.com.
Kuirong JiangPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. jiangkuirong@njmu.edu.cn.
Yi MiaoPancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. miaoyi@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrognostic prediction had been widely used in various cancer entities, from early screening to end-stage patient caring. Currently, there is hardly any well-validated nomogram which exists for long-term survival prediction in pancreatic adenocarcinoma (PC) patients in a post-surgery setting. Our objectives are to identify possible prognostic factors in PC patients following radical resection and to develop a prognostic nomogram based on independent survival predictors.

methodsFrom 2009 to 2014, a total of 432 PC patients who underwent curative intended surgeries with complete follow-up data were included in this current retrospective long-term survival analysis. Clinicopathological data were extracted from medical records, and all missing values (percentage 0.9-8.3%) were imputed five times with the "PMM" method. Cox proportional hazards models were utilized. A nomogram was formulated based on results from the multivariate regression model so as to predict OS at 1-, 2- and 3-year as well as median OS. Validations, including discrimination and calibration, were carried out with 1000 bootstrap resamples. External validation was conducted in order to verify the accuracy of our nomogram at 1 and 2 years by utilizing the clinicopathological data of 122 PC patients who underwent curative intended surgeries in 2015 in our centre.

resultsAge, abdominal pain, back pain, tumour location, preoperative neutrophil-lymphocyte ratio, preoperative CA19-9, tumour differentiation, microscopic nerve invasion, microscopic vascular invasion, T stage, lymph node ratio, M stage and adjuvant chemotherapy were all assembled into nomogram. The concordance index (C-index) of internal and external validation was 0.702 and 0.688, respectively. The C-index of the TNM staging system was 0.572 (P < 0.001 vs. nomogram).

conclusionOur prognostic nomogram based on clinicopathological parameters shows good performance in long-term survival prediction in PC patients following radical surgery and could play a role in further clinical utilization.

Indexed as

NomogramsAdenocarcinomaAgedFemaleHumansMaleMiddle AgedPancreatic NeoplasmsPrognosisProportional Hazards ModelsRetrospective Studies

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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.