Evidence map›Paper›PMID 36801902›Full record

ArticleScientific reports2023

Prognostic CT features in patients with untreated thymic epithelial tumors.

Haiyang Dai, Bowen Lan, Shengkai Li, Yong Huang, Guihua Jiang, Junzhang Tian

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Haiyang DaiDepartment of Medical Imaging, Huizhou Municipal Central Hospital, No. 41, North Eling Road, Huizhou, 516001, People's Republic of China. d.ocean@163.com.
Bowen LanDepartment of Medical Imaging, Huizhou Municipal Central Hospital, No. 41, North Eling Road, Huizhou, 516001, People's Republic of China.
Shengkai LiDepartment of Medical Imaging, Huizhou Municipal Central Hospital, No. 41, North Eling Road, Huizhou, 516001, People's Republic of China.
Yong HuangDepartment of Radiology, Shandong Tumor Hospital, No.44, Jiyan Road, Jinan, 250117, People's Republic of China.
Guihua JiangDepartment of Radiology, Guangdong Second Provincial General Hospital, No.466, Xingang Road, Guangzhou, 510317, People's Republic of China.
Junzhang TianDepartment of Radiology, Guangdong Second Provincial General Hospital, No.466, Xingang Road, Guangzhou, 510317, People's Republic of China.
Huizhou Central People's Hospital · CNGuangdong Provincial People's Hospital · CNShandong Tumor Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the prognostic CT features in patients with untreated thymic epithelial tumors (TETs). Clinical data and CT imaging features of 194 patients with pathologically confirmed TETs were retrospectively reviewed. The subjects included 113 male and 81 female patients between 15 and 78 years of age, with a mean age of 53.8 years. Clinical outcomes were categorized according to whether relapse, metastasis or death occurred within 3 years after the first diagnosis. Associations between clinical outcomes and CT imaging features were determined using univariate and multivariate logistic regression analyses, while the survival status was analyzed by Cox regression. In this study, we analyzed 110 thymic carcinomas, 52 high-risk thymomas and 32 low-risk thymomas. Percentages of poor outcome and patient death in thymic carcinomas were much higher than those in patients with high-risk and low-risk thymomas. In the thymic carcinomas groups, 46 patients (41.8%) experienced tumor progression, local relapse or metastasis and were categorized as having poor outcomes; vessel invasion and pericardial mass were confirmed to be independent predictors by logistic regression analysis (p < 0.01). In the high-risk thymoma group, 11 patients (21.2%) were categorized as having poor outcomes, and the CT feature pericardial mass was confirmed to be an independent predictor (p < 0.01). In survival analysis, Cox regression showed that CT features of lung invasion, great vessel invasion, lung metastasis and distant organ metastasis were independent predictors for worse survival in the thymic carcinoma group (p < 0.01), while lung invasion and pericardial mass were independent predictors for worse survival in high-risk thymoma group. No CT features were related to poor outcome and worse survival in the low-risk thymoma group. Patients with thymic carcinoma had poorer prognosis and worse survival than those with high-risk or low-risk thymoma. CT can serve as an important tool for predicting the prognosis and survival of patients with TETs. In this cohort, CT features of vessel invasion and pericardial mass were related to poorer outcomes in those with thymic carcinoma and pericardial mass in those with high-risk thymoma. Features including lung invasion, great vessel invasion, lung metastasis and distant organ metastasis indicate worse survival in thymic carcinoma, whereas lung invasion and pericardial mass indicate worse survival in high-risk thymoma.

Indexed as

Lung NeoplasmsNeoplasms, Glandular and EpithelialThymomaThymus NeoplasmsFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisRetrospective Studies

Identifiers

PMID36801902
PMCPMC9939415
OpenAlexW4321352013

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.