Evidence map›Paper›PMID 28464214›Full record

ArticleCancer2017

Cancer-specific mortality, cure fraction, and noncancer causes of death among diffuse large B-cell lymphoma patients in the immunochemotherapy era.

Nadia Howlader, Angela B Mariotto, Caroline Besson, Gita Suneja, Kim Robien, Naji Younes, Eric A Engels

Open access · hybridAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 76 citations in OpenAlex.

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  17. CAR T-cell Therapy for Diffuse Large B-cell Lymphoma in Canada: A Cost-Utility Analysis.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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  20. Risk and prognosis of secondary breast cancer after radiation therapy for non-Hodgkin lymphoma: a massive population-based analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

Nadia HowladerSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Angela B MariottoSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Caroline BessonFaculty of Medicine, University of Paris Sud, Le Kremlin-Bicêtre, France.
Gita SunejaDepartment of Radiation Oncology, University of Utah, Salt Lake City, Utah.
Kim RobienDepartment of Epidemiology and Biostatistics, George Washington University Milken Institute School of Public Health, Washington, DC.
Naji YounesDepartment of Epidemiology and Biostatistics, George Washington University Milken Institute School of Public Health, Washington, DC.
Eric A EngelsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
George Washington University · USDivision of Cancer Epidemiology and GeneticsMilken Institute · USNational Cancer Institute · USUniversité Paris-Sud · FRUniversity of Utah Hospital · US

Funding

Infections, immunity, and inflammation in cancerZIACP010150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ENGELS, ERIC A · 2009 to 2025
$24.0M
6 · The paper itself

Abstract

backgroundSurvival after the diagnosis of diffuse large B-cell lymphoma (DLBCL) has been increasing since 2002 because of improved therapies; however, long-term outcomes for these patients in the modern treatment era are still unknown.

methodsUsing Surveillance, Epidemiology, and End Results data, this study first assessed factors associated with DLBCL-specific mortality during 2002-2012. An epidemiologic risk profile, based on clinical and demographic characteristics, was used to stratify DLBCL cases into low-, medium-, and high-risk groups. The proportions of DLBCL cases that might be considered cured in these 3 risk groups was estimated. Risks of death due to various noncancer causes among DLBCL cases versus the general population were also calculated with standardized mortality ratios (SMRs).

resultsOverall, 8274 deaths were recorded among 18,047 DLBCL cases; 76% of the total deaths were attributed to DLBCL, and 24% were attributed to noncancer causes. The 10-year survival rates for the low-, medium-, and high-risk groups were 80%, 60%, and 36%, respectively. The estimated cure proportions for the low-, medium-, and high-risk groups were 73%, 49%, and 27%, respectively; however, these cure estimates were uncertain because of the need to extrapolate the survival curves beyond the follow-up time. Mortality risks calculated with SMRs were elevated for conditions including vascular diseases (SMR, 1.3), infections (SMR, 3.1), gastrointestinal diseases (SMR, 2.5), and blood diseases (SMR, 4.6). These mortality risks were especially high within the initial 5 years after the diagnosis and declined after 5 years.

conclusionsSome DLBCL patients may be cured of their cancer, but they continue to experience excess mortality from lymphoma and other noncancer causes. Cancer 2017;123:3326-34. © 2017 American Cancer Society.

Indexed as

Cause of DeathAdultAgedAged, 80 and overAge FactorsAntineoplastic Combined Chemotherapy ProtocolsCombined Modality TherapyDatabases, FactualDisease-Free SurvivalFemaleHumansImmunosuppressive AgentsImmunotherapyLymphoma, Large B-Cell, DiffuseMaleMiddle AgedImmunosuppressive Agentscancer-specific survivalcauses of deathcurediffuse large B-cell lymphomanoncancer causes of deathrituximab with cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP)standardized mortality ratioSurveillance, Epidemiology, and End Results (SEER)

Identifiers

PMID28464214
OpenAlexW2611767787

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.