Evidence map›Paper›PMID 37249648›Full record

ArticleJournal of cancer research and clinical oncology2023

Competing risks analysis of external versus internal radiation in patients with hepatocellular carcinoma after controlling for immortal time bias.

Chao-Yue Ku, Xue-Ke Yang, Li-Jing Xi, Rui-Zhe Wang, Bin-Bin Wu, Man Dai, Li Liu, Zhi-Guang Ping

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Chao-Yue KuDepartment of Health Statistics, College of Public Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, 450001, Henan Province, People's Republic of China.
Xue-Ke YangDepartment of Health Statistics, College of Public Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, 450001, Henan Province, People's Republic of China.
Li-Jing XiDepartment of Health Statistics, College of Public Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, 450001, Henan Province, People's Republic of China.
Rui-Zhe WangDepartment of Health Statistics, College of Public Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, 450001, Henan Province, People's Republic of China.
Bin-Bin WuDepartment of Health Statistics, College of Public Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, 450001, Henan Province, People's Republic of China.
Man DaiDepartment of Health Statistics, College of Public Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, 450001, Henan Province, People's Republic of China.
Li LiuSchool of Basic Medical Sciences, Zhengzhou University, No.100 Science Avenue, Zhengzhou, 450001, Henan Province, People's Republic of China. liulixh@zzu.edu.cn.
Zhi-Guang PingDepartment of Health Statistics, College of Public Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, 450001, Henan Province, People's Republic of China. ping_zhg@163.com.
Zhengzhou University · CN

Funding

The Key Research Project for Colleges and Universities in Henan Province 23B330005
6 · The paper itself

Abstract

purposeIn cohort studies on liver cancer, there are often immortal time bias and interference of competing risk events. This study proposes to explore the role of internal and external radiotherapy for hepatocellular carcinoma using SEER data, using a competing risk model and controlling immortal time bias.

methodsData of SEER from 2004 till 2015 was included. To analyze whether there was a difference in survival between HCC (hepatocellular carcinoma) patients receiving external radiation and internal radiation, we used a competing risk analysis after excluding immortal time bias, and created a nomogram to assess the risk of cancer-specific death (CSD) in hepatocellular carcinoma patients receiving radiotherapy.

resultsPotential confounding factors adjusted, there was no significant difference in CSD between external and internal radiation therapy [HR and its 95% CI = 1.098 (0.874-1.380)]. The constructed nomogram performed better than the traditional AJCC model. The AUC and calibration curve results showed that this well-calibrated nomogram could be used to make clinical decisions regarding the prognosis and personalized treatment of hepatocellular carcinoma treated. There was no difference in the cumulative risk of death between patients with liver cancer treated with external radiation therapy and internal radiation therapy.

conclusionThere is no difference in the cumulative risk of death between patients with liver cancer treated with external radiation therapy and internal radiation therapy. The nomogram predicts the results more accurately. These results can be used to guide the choice of treatment options for patients with HCC and to predict their survival prognosis.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansNomogramsPrognosisRisk AssessmentFine-gray modelHepatocellular carcinomaImmortal time biasNomogramRadiation therapy

Identifiers

PMID37249648
PMCPMC11796979
OpenAlexW4378745934

What OpenQuestion holds

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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.