Evidence map›Paper›PMID 36408181›Full record

ArticleFrontiers in oncology2022

Development and validation of a prognostic nomogram for extrahepatic bile duct adenocarcinoma.

Shiyao Zhang, You Cui, Xinyu Zhao, Qi Zhang, Chunqiang Li, Qianpeng Huang, Gang Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

7 authors at 2 institutions in 1 country.

Shiyao ZhangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
You CuiDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Xinyu ZhaoDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Qi ZhangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Chunqiang LiDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Qianpeng HuangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Gang LiuDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Tianjin Medical University · CNTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study is to establish a prognostic nomogram for patients with extrahepatic bile duct adenocarcinoma (EBDA). Methods: From the Surveillance, Epidemiology, and End Results database, we retrieved clinical data from 1,485 patients diagnosed with EBDA between 2004 and 2015. These patients were randomly assigned to either the training or validation group in a ratio of 2:1. Cox proportional risk regression models were used to analyze the association of each variable with overall survival (OS). Univariate and multifactorial Cox regression analyses were performed to identify prognostic factors, and prognostic nomograms were created on the basis of the results of Cox multifactorial regression analysis. Performance was assessed by calibration curves and ROC curves. Internal validation was performed using the validation cohort. The Kaplan-Meier method was used to perform log-rank constructions for different risk groups. Results: The results indicated that age, race, N and M stages of tumor-lymph node metastases based on AJCC version 6, surgery, and chemotherapy were independent prognostic factors for OS in patients with EBDA. The constructed nomograms showed decent classification in predicting both 3- and 5-year survival rates. The calibration curves also show a high degree of agreement between the predicted and actual operating systems. Conclusions: The nomogram that we constructed provides a relatively accurate and applicable prediction of survival outcome in patients with EBDA, which helps to provide reference and guidance for patient treatment.

Indexed as

nomogramprognosisrisk factorSEERsurvival analysis

Identifiers

PMID36408181
PMCPMC9668252
OpenAlexW4308125360

What OpenQuestion holds

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LicenceCC BY
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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.