Evidence map›Paper›PMID 34433456›Full record

ArticleBMC cancer2021

Causes of death and effect of non-cancer-specific death on rates of overall survival in adult classic Hodgkin lymphoma: a populated-based competing risk analysis.

Jie Gao, Yingying Chen, Pengqiang Wu, Fujue Wang, Huan Tao, Qianqing Shen, Shuoting Wang, Shuaige Gong, Xue Zhang, Zhencang Zhou and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  9. Hodgkin lymphoma treatment for older persons in the modern era.Hematology. American Society of Hematology. Education Program · 2023
    Article
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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

12 authors at 6 institutions in 1 country.

Jie GaoDepartment of Hematology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.
Yingying ChenDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Pengqiang WuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Fujue WangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Huan TaoDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Qianqing ShenDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Shuoting WangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Shuaige GongDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Xue ZhangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Zhencang ZhouDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Xianmin SongDepartment of Hematology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China. shongxm@sjtu.edu.cn.
Yongqian JiaDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China. jia_yq@scu.edu.cn.
Sichuan University · CNWest China Hospital of Sichuan University · CNAffiliated Hospital of Southwest Medical University · CNAffiliated Hospital of Zunyi Medical College · CNShanghai First People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe improved prognosis of classic Hodgkin lymphoma (cHL) has been accompanied by elevated risks of non-cancer-specific death (non-CSD). The aim of this study was to verify the occurrence of non-CSD and its effect on rates of overall survival among adult patients with cHL.

methodsTo ensure sufficient follow-up time, we analyzed retrospective data from patients aged ≥20 years with cHL that was diagnosed between 1983 and 2005 in the Surveillance, Epidemiology, and End Results (SEER) database. Logistic regression was applied to analyze the non-CSD occurrence in relation to all factors. Using Fine-Gray's method, we calculated the cumulative incidences of CSD and non-CSD. Stacked cumulative incidence plots and ratio of non-CSD to all causes of death were applied to evaluate the effect of non-CSD on rates of overall survival. Finally, we analyzed long-term mortality through Cox proportional hazard regression analysis and competing risk regression analysis to emphasize a more appropriate model of survival for patients with cHL.

resultsAmong the 18,518 patients included, there were 3768 cases of CSD (20.3%) and 3217 of non-CSD (17.4%). Older age, earlier period, male sex, unmarried status, mixed cellularity (MC) and lymphocyte-depletion (LD) histological subtype, and patients received radiotherapy (RT) only were associated with more non-CSD according to binary logistic analysis. The cumulative incidence of non-CSD exceeded CSD after approximately 280 months follow-up. The most common causes of non-CSDs were cardiovascular disease, subsequent primary neoplasms, infectious diseases, accidents, and suicide. In a Cox proportional hazards model, patients who were black, unmarried, at an advanced stage or underwent chemotherapy (CT) alone were at greater risk of mortality than were white patients, who were married, at an early stage, and underwent combined modality; these populations were also found to be at greater risk for CSD in a competing risk model, but the risk of non-CSD did not differ significantly according to race and marital status, patients with early-stage disease and who underwent RT only were found to be at higher risk of non-CSD instead.

conclusionsLymphoma was the cause of death in most patients who died, but non-CSD was not unusual. Patients with cHL should be monitored closely for signs of cardiovascular disease and malignant tumors. Rates of overall survival of patients were diminished by non-CSD, and a competing risk model was more suitable for establishing the prognosis than was the Cox proportional hazards model.

Indexed as

AdultCause of DeathCombined Modality TherapyFemaleFollow-Up StudiesHodgkin DiseaseHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsSEER ProgramSurvival RateYoung AdultClassic Hodgkin lymphoma, non-cancer-specific death, competing risk analysisPrognosisSEER database

Identifiers

PMID34433456
PMCPMC8390285
OpenAlexW3195921223

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.