Evidence map›Paper›PMID 30821826›Full record

ArticleJAMA network open2019

Risk-Dependent Conditional Survival and Failure Hazard After Radiotherapy for Early-Stage Extranodal Natural Killer/T-Cell Lymphoma.

Xin Liu, Tao Wu, Su-Yu Zhu, Mei Shi, Hang Su, Ying Wang, Xia He, Li-Ming Xu, Zhi-Yong Yuan, Li-Ling Zhang and 13 more

Abstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

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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

23 authors.

Xin LiuState Key Laboratory of Molecular Oncology, Beijing, People's Republic of China.
Tao WuAffiliated Hospital of Guizhou Medical University, Guizhou Cancer Hospital, Guiyang, Guizhou, People's Republic of China.
Su-Yu ZhuHunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha, Hunan, People's Republic of China.
Mei ShiXijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, People's Republic of China.
Hang Su307 Hospital, Academy of Military Medical Science, Beijing, People's Republic of China.
Ying WangChongqing Cancer Hospital & Cancer Institute, Chongqing, People's Republic of China.
Xia HeJiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, People's Republic of China.
Li-Ming XuTianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin, People's Republic of China.
Zhi-Yong YuanTianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin, People's Republic of China.
Li-Ling ZhangUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Gang WuUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Bao-Lin QuThe General Hospital of Chinese People's Liberation Army, Beijing, People's Republic of China.
Li-Ting QianThe Affiliated Provincial Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Xiao-Rong HouPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Fu-Quan ZhangPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Yu-Jing ZhangSun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Yuan ZhuZhejiang Cancer Hospital, Hangzhou, Zhejiang, People's Republic of China.
Jian-Zhong CaoShanxi Cancer Hospital and the Affiliated Cancer Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Sheng-Min LanShanxi Cancer Hospital and the Affiliated Cancer Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Jun-Xin WuFujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China.
Shu-Nan QiState Key Laboratory of Molecular Oncology, Beijing, People's Republic of China.
Yong YangState Key Laboratory of Molecular Oncology, Beijing, People's Republic of China.
Ye-Xiong LiState Key Laboratory of Molecular Oncology, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Prognosis of early-stage extranodal natural killer/T-cell lymphoma (NKTCL) is usually estimated and stratified at diagnosis, but how the prognosis actually evolves over time for patients who survived after curative treatment is unknown. Objective: To assess conditional survival and failure hazard over time based on risk categories, previous survival, and treatment. Design, Setting, and Participants: This retrospective cohort study reviewed the clinical data of 2015 patients with early-stage NKTCL treated with radiotherapy identified from the China Lymphoma Collaborative Group multicenter database between January 1, 2000, and December 31, 2015. Patients were stratified into low-, intermediate- and high-risk groups according to a previously established prognostic model. Median follow-up was 61 months for surviving patients. Data analysis was performed from December 1, 2017, to January 30, 2018. Exposures: All patients received radiotherapy with or without chemotherapy. Main Outcomes and Measures: Conditional survival defined as the survival probability, given patients have survived for a defined time, and annual hazard rates defined as yearly event rate. Results: A total of 2015 patients were included in the study (mean [SD] age, 43.3 [14.6] years; 1414 [70.2%] male); 1628 patients (80.8%) received radiotherapy with chemotherapy, and 387 (19.2%) received radiotherapy without chemotherapy. The 5-year survival rates increased from 69.1% (95% CI, 66.6%-71.4%) at treatment to 85.3% (95% CI, 81.7%-88.2%) at year 3 for conditional overall survival and from 60.9% (95% CI, 58.3%-63.3%) at treatment to 84.4% (95% CI, 80.6%-87.6%) at year 3 for conditional failure-free survival. The annual hazards decreased from 13.7% (95% CI, 13.0%-14.3%) for death and 22.1% (95% CI, 21.0%-23.1%) for failure at treatment to less than 5% after 3 years (death: range, 0%-3.9% [95% CI, 3.7%-4.2%]; failure: 1.2% [95% CI, 1.0%-1.4%] to 4.2% [95% CI 3.9%-4.6%]). Intermediate-risk (11.4% [95% CI, 10.5%-12.3%]) and high-risk (21.6% [95% CI, 20.0%-23.2%]) patients had initially higher but significantly decreased death hazards after 3 years (<6%, range: 0%-5.9% [95% CI, 5.2%-6.7%]), whereas low-risk patients maintained a constantly lower death hazard of less than 5% (range, 0%-4.8%; 95% CI, 4.4%-5.3%). In high-risk patients, radiotherapy combined with non-anthracycline-based regimens were associated with higher conditional overall survival before year 3 compared with anthracycline-based regimens (hazard ratio [HR] for death, 1.49; 95% CI, 1.13-1.95; P = .004 at treatment; HR, 1.60; 95% CI, 1.07-2.39; P = .02 at 1 year; and HR, 1.77; 95% CI, 0.94-3.33; P = .07 at 2 years) or radiotherapy alone (HR, 2.42; 95% CI, 1.73-3.39; P < .001 at treatment; HR, 1.82; 95% CI, 1.05-3.17; P = .03 at 1 year; and HR, 2.69; 95% CI, 1.23-5.90; P = .01 at 2 years). Conclusions and Relevance: The survival probability increased and the hazards of failure decreased in a risk-dependent manner among patients with early NKTCL after radiotherapy. These dynamic data appear to provide accurate information on disease processes and continual survival expectations and may help researchers design additional prospective clinical trials and formulate risk-adapted therapies and surveillance strategies.

Indexed as

ChemoradiotherapyLymphoma, Extranodal NK-T-CellAdultChinaEffect Modifier, EpidemiologicFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesRisk AssessmentSurvival AnalysisSurvival Rate

Identifiers

PMID30821826
PMCPMC6484659

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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.