Evidence map›Paper›PMID 34178696›Full record

ArticleFrontiers in oncology2021

Cystic Duct Carcinoma: A New Classification System and the Clinicopathological Features of 62 Patients.

Lingxi Nan, Changcheng Wang, Yajie Dai, Jie Wang, Xiaobo Bo, Shulong Zhang, Dexiang Zhang, Houbao Liu, Yueqi Wang

Abstract read
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Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

  1. Article
  2. Stage Evaluation of Cystic Duct Cancer.Cancer research and treatment · 2025
    Article
  3. Article
  4. Article
  5. Article
4 · The record

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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

9 authors.

Lingxi NanDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Changcheng WangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yajie DaiShanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Fudan University, Shanghai, China.
Jie WangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaobo BoDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Shulong ZhangBiliary Tract Diseases Institute, Fudan University, Shanghai, China.
Dexiang ZhangBiliary Tract Diseases Institute, Fudan University, Shanghai, China.
Houbao LiuDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yueqi WangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCystic duct carcinoma (CDC) is a rare biliary malignancy with a low incidence and poor prognosis. However, the clinical landscape of the disease has not been clarified and no widely applicable classification system has been developed.

methodsSixty-two patients with CDC were included in this retrospective study, and a new classification system was established using imaging data. Blood indices, radiological characteristics, pathological features, surgical procedures, and overall survival data were collected. The efficacy of the new classification in predicting resectability was evaluated using receiver operating characteristic (ROC) curves, and K-means clustering and t-distributed stochastic neighbor embedding were applied to verify the conclusion.

resultsThe pT stage of patients with type II CDC was significantly worse than that of type I. Patients with type II CDC were more likely to experience distant metastasis and invasion of the nervous system, vascular system, and liver. The resectability of patients with type II CDC was significantly worse than that of patients with type I CDC. Patients with type II CDC had worse prognoses. ROC curve analysis and K-means clustering revealed that the new classification could better categorize patients with CDC than currently available systems.

conclusionPatients with type II CDC have significantly worse clinicopathological outcomes. The new classification system has better accuracy in grouping patients with CDC.

Indexed as

classificationcystic duct carcinomaK-means clusteringprognosisresectabilityt-distributed stochastic neighbor embedding

Identifiers

PMID34178696
PMCPMC8225998

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