Evidence map›Paper›PMID 37296875›Full record

ArticleCancers2023

Prognostic Factors Analysis of Metastatic Recurrence in Cervical Carcinoma Patients Treated with Definitive Radiotherapy: A Retrospective Study Using Mixture Cure Model.

Xiaxian Ou, Jing You, Baosheng Liang, Xiaofan Li, Jiangjie Zhou, Fengyu Wen, Jingyuan Wang, Zhengkun Dong, Yibao Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancers, 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
0.3field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 1 institution in 1 country.

Xiaxian OuDepartment of Biostatistics, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-2905-8287
Jing YouKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Baosheng LiangDepartment of Biostatistics, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0003-3500-0820
Xiaofan LiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Jiangjie ZhouDepartment of Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Fengyu WenInstitute of Medical Technology, Peking University Health Science Center, Beijing 100191, China.
Jingyuan WangDepartment of Biostatistics, School of Public Health, Peking University, Beijing 100191, China.ORCID 0009-0009-8460-770X
Zhengkun DongKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Yibao ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Peking University · CN

Funding

Beijing Natural Science Foundation 1204031, 7172048, Z210008Fundamental Research Funds for the Central Universities BMU2021RCZX023National Natural Science Foundation of China 11901013PKU-Baidu Fund 2020BD029Science Foundation of Peking University Cancer Hospital 2021-1
6 · The paper itself

Abstract

objectivesThis study aims to identify prognostic factors associated with metastatic recurrence-free survival of cervical carcinoma (CC) patients treated with radical radiotherapy and assess the cure probability of radical radiotherapy from metastatic recurrence.

methodsData were from 446 cervical carcinoma patients with radical radiotherapy for an average follow up of 3.96 years. We applied a mixture cure model to investigate the association between metastatic recurrence and prognostic factors and the association between noncure probability and factors, respectively. A nonparametric test of cure probability under the framework of a mixture cure model was used to examine the significance of cure probability of the definitive radiotherapy treatment. Propensity-score-matched (PSM) pairs were generated to reduce bias in subgroup analysis.

resultsPatients in advanced stages (

conclusionsThere was statistically significant evidence in the data showing the existence of a large amount of patients cured by the definitive radiotherapy treatment. HARS is a protective factor against metastatic recurrence for uncured patients, and young patients tend to benefit more than the elderly from the HARS treatment.

Indexed as

activity of radioactive sourcebrachytherapycervical carcinomametastatic recurrencemixture cure model

Identifiers

PMID37296875
PMCPMC10252127
OpenAlexW4378468634

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.