Evidence map›Paper›PMID 31269764›Full record

ArticleCancers2019

The Use of Optimal Treatment for DLBCL Is Improving in All Age Groups and Is a Key Factor in Overall Survival, but Non-Clinical Factors Influence Treatment.

Nicole Wong Doo, Victoria M White, Kara Martin, Julie K Bassett, H Miles Prince, Simon J Harrison, Michael Jefford, Ingrid Winship, Jeremy L Millar, Roger L Milne and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Nicole Wong DooCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia. nicole.wongdoo@health.nsw.gov.au.
Victoria M WhiteSchool of Psychology, Faculty of Health, Deakin University, Geelong, Victoria 3220, Australia.
Kara MartinCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia.
Julie K BassettCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia.
H Miles PrinceDepartment of Haematology, Peter MacCallum Cancer Centre & Royal Melbourne Hospital, Melbourne, Victoria 3000, Australia.
Simon J HarrisonDepartment of Haematology, Peter MacCallum Cancer Centre & Royal Melbourne Hospital, Melbourne, Victoria 3000, Australia.
Michael JeffordSir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria 3010, Australia.
Ingrid WinshipGenomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria 3050, Australia.
Jeremy L MillarAlfred Health Radiation Oncology, Alfred and LaTrobe Regional Hospital, Melbourne, Victoria 3004, Australia.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia.
John F SeymourDepartment of Haematology, Peter MacCallum Cancer Centre & Royal Melbourne Hospital, Melbourne, Victoria 3000, Australia.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia.
The Royal Melbourne Hospital · AUThe University of Melbourne · AUCancer Council Victoria · AUAlfred Health · AUDeakin University · AUThe University of Sydney · AU

Funding

Victorian Cancer Agency #EOI09_36
6 · The paper itself

Abstract

introductionDiffuse large B cell lymphoma (DLBCL) is an aggressive form of non-Hodgkin lymphoma for which a cure is usually the therapeutic goal of optimal treatment. Using a large population-based cohort we sought to examine the factors associated with optimal DLBCL treatment and survival.

methodsDLBCL cases were identified through the population-based Victorian Cancer Registry, capturing new diagnoses for two time periods: 2008-2009 and 2012-2013. Treatment was pre-emptively classified as 'optimal' or 'suboptimal', according to compliance with current treatment guidelines. Univariable and multivariable logistic regression models were fitted to determine factors associated with treatment and survival.

resultsAltogether, 1442 DLBCL cases were included. Based on multivariable analysis, delivery of optimal treatment was less likely for those aged ≥80 years (p < 0.001), women (p = 0.012), those with medical comorbidity (p < 0.001), those treated in a non-metropolitan hospital (p = 0.02) and those who were ex-smokers (p = 0.02). Delivery of optimal treatment increased between 2008-2009 and the 2012-2013 (from 60% to 79%, p < 0.001). Delivery of optimal treatment was independently associated with a lower risk of death (hazard ratio (HR) = 0.60 (95% confidence interval (CI) 0.45-0.81), p = 0.001).

conclusionDelivery of optimal treatment for DLBCL is associated with hospital location and category, highlighting possible demographic variation in treatment patterns. Together with an increase in the proportion of patients receiving optimal treatment in the more recent time period, this suggests that treatment decisions in DLBCL may be subject to non-clinical influences, which may have implications when evaluating equity of treatment access. The positive association with survival emphasizes the importance of delivering optimal treatment in DLBCL.

Indexed as

cancer survivalchemotherapydiffuse large B cell lymphomaepidemiologic studiespatterns of care

Identifiers

PMID31269764
PMCPMC6678990
OpenAlexW2954129100

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.