Evidence map›Paper›PMID 34781928›Full record

ArticleBMC cancer2021

Nomogram to predict survival of patients with advanced and metastatic pancreatic Cancer.

G C Deng, Y Lv, H Yan, D C Sun, T T Qu, Y T Pan, Q L Han, G H Dai

Abstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

8 authors.

G C Deng *School of Medicine, Nankai University, Tianjin, China.
Y Lv *School of Medicine, Nankai University, Tianjin, China.
H Yan *School of Medicine, Nankai University, Tianjin, China.
D C SunSchool of Medicine, Nankai University, Tianjin, China.
T T QuSchool of Medicine, Nankai University, Tianjin, China.
Y T PanSchool of Medicine, Nankai University, Tianjin, China.
Q L HanSchool of Medicine, Nankai University, Tianjin, China. hanquanli@aliyun.com.
G H DaiSchool of Medicine, Nankai University, Tianjin, China. daigh301@vip.sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNomograms are rarely employed to estimate the survival of patients with advanced and metastatic pancreatic cancer (PC). Herein, we developed a comprehensive approach to using a nomogram to predict survival probability in patients with advanced and metastatic PC.

methodsA total of 323 patients with advanced and metastatic PC were identified from the Chinese People's Liberation Army (PLA) General Hospital. A baseline nomogram was constructed using baseline variables of 323 patients. Additionally, 233 patients, whose tumors showed initial responses to first-line chemotherapy, were enrolled in the chemotherapy response-based model. 128 patients and 108 patients with advanced and metastatic PC from January 2019 to April 2021 were selected for external validating baseline model and chemotherapy response-based model. The 1-year and 2-year survival probability was evaluated using multivariate COX regression models. The discrimination and calibration capacity of the nomograms were assessed using C-statistic and calibration plots. The predictive accuracy and net benefit of the nomograms were evaluated using ROC curve and DCA, respectively.

resultsIn the baseline model, six variables (gender, KPS, baseline TB, baseline N, baseline WBC and baseline CA19-9) were used in the final model. In the chemotherapy response-based model, nine variables (KPS, gender, ascites, baseline N, baseline CA 19-9, baseline CEA, change in CA 19-9 level at week, change in CEA level at week and initial response to chemotherapy) were included in the final model. The C-statistics of the baseline nomogram and the chemotherapy response-based nomogram were 0.67 (95% CI, 0.62-0.71) and 0.74 (95% CI, 0.69-0.77), respectively.

conclusionThese nomograms were constructed to predict the survival probability of patients of advanced and metastatic PC. The baseline model and chemotherapy response-based model performed well in survival prediction.

Indexed as

NomogramsAlbuminsAntineoplastic AgentsCA-19-9 AntigenCarcinoembryonic AntigenDeoxycytidineDrug CombinationsFemaleGemcitabineHumansKarnofsky Performance StatusMaleMiddle AgedOxonic AcidPaclitaxelPancreatic Neoplasms130-nm albumin-bound paclitaxelAlbuminsAntineoplastic AgentsCA-19-9 AntigenCarcinoembryonic AntigenDeoxycytidineDrug CombinationsGemcitabineOxonic AcidPaclitaxelS 1 (combination)TegafurClinicopathological factorsLaboratory parametersNomogramPancreatic cancerPrognosis

Identifiers

PMID34781928
PMCPMC8594118

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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.