Evidence map›Paper›PMID 37287062›Full record

SynthesisCancer imaging : the official publication of the International Cancer Imaging Society2023

Imaging features based on CT and MRI for predicting prognosis of patients with intrahepatic cholangiocarcinoma: a single-center study and meta-analysis.

Dongwei Sun, Zhenggang Xu, Shuya Cao, Huaiyu Wu, Ming Lu, Qing Xu, Ke Wang, Guwei Ji

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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 at 2 institutions in 1 country.

Dongwei Sun *Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Zhenggang Xu *Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Shuya Cao *Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Huaiyu Wu *Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Ming LuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Jiangsu Province, China.
Qing XuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Jiangsu Province, China.
Ke WangHepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China. lancetwk@163.com.ORCID http://orcid.org/0000-0002-5627-2537
Guwei JiHepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, People's Republic of China. drjgw@njmu.edu.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJiangsu Province Hospital · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China (31930020)Innovative Research Group Project of the National Natural Science Foundation of China (82102150)Jiangsu Science and Education Capacity Enhancement Project CXZX202203Jiangsu Science and Education Capacity Enhancement Project ZDXYS202201Natural Science Foundation of Jiangsu Province (BK20210968)
6 · The paper itself

Abstract

backgroundTo evaluate the prognostic role of imaging features based on CT and MRI in intrahepatic cholangiocarcinoma (ICC).

methodsTwo hundred and four patients from a single-center database who underwent radical ICC surgery from 2010 to 2019 were enrolled in the study. Cox proportional hazard model was used for survival analysis of imaging features. A meta-analysis was performed to determine imaging features that predict overall survival (OS) and event-free survival (EFS) in ICC.

resultsIn the CT group of the retrospective cohort, tumor multiplicity, infiltrative tumor margin, lymph node metastasis, enhancement pattern in hepatic arterial phase and tumor necrosis correlated with poorer EFS and OS; moreover, enhancing capsules, high carcinoembryonic antigen levels contributed to poor OS. In the MRI group, tumor multiplicity and enhancement pattern were prognostic factors for OS; tumor multiplicity and enhancement pattern resulted in poor EFS. A total of 13 articles containing 1822 patients with ICC were enrolled in the adjusted hazard ratios meta-analysis. The results showed that enhancement pattern and infiltrative tumor margin were predictors of OS and EFS, whereas bile duct invasion was a predictor of OS.

conclusionsArterial enhancement patterns and tumor margin status were associated with both OS and EFS of ICC patients following resection.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaBile Ducts, IntrahepaticHumansMagnetic Resonance ImagingPrognosisRetrospective StudiesTomography, X-Ray ComputedImaging featureIntrahepatic cholangiocarcinomaMeta-analysisPrognosis

Identifiers

PMID37287062
PMCPMC10245452
OpenAlexW4379742085

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.