Evidence map›Paper›PMID 31494062›Full record

ArticleClinical lymphoma, myeloma & leukemia2019

Characterizing Lymphoma Incidence and Disparities for a Cancer Center Catchment Region.

Amy A Ayers, Lin Lyu, Kaylin Dance, Kevin C Ward, Christopher R Flowers, Jean L Koff, Lauren E McCullough

Abstract read
In one paragraph

Article in Clinical lymphoma, myeloma & leukemia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

7 authors.

Amy A AyersWinship Cancer Institute, Atlanta, GA.
Lin LyuWinship Cancer Institute, Atlanta, GA; Rollins School of Public Health, Emory University, Atlanta, GA.
Kaylin DanceWinship Cancer Institute, Atlanta, GA; Rollins School of Public Health, Emory University, Atlanta, GA.
Kevin C WardRollins School of Public Health, Emory University, Atlanta, GA; Georgia Center for Cancer Statistics, Atlanta, GA.
Christopher R FlowersWinship Cancer Institute, Atlanta, GA; Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA. Electronic address: crflowe@emory.edu.
Jean L KoffWinship Cancer Institute, Atlanta, GA; Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA.
Lauren E McCulloughWinship Cancer Institute, Atlanta, GA; Rollins School of Public Health, Emory University, Atlanta, GA.

Funding

The Lymphoma Epidemiology of Outcomes (LEO) Cohort Study (Supplement)U01CA195568 · NCI · MAYO CLINIC ROCHESTER · PI CERHAN, JAMES R, FLOWERS, CHRISTOPHER R · 2015 to 2025
$22.1M
Mentored Patient Oriented Research in LymphomaK24CA208132 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FLOWERS, CHRISTOPHER R · 2016 to 2020
$822k
NCI NIH HHS K24 CA208132NCI NIH HHS U01 CA195568
6 · The paper itself

Abstract

backgroundRacial disparities in non-Hodgkin lymphoma (NHL) are not well-elucidated for specific catchment areas, which can influence outcomes. Leveraging regional data from a population-based cancer registry may provide unique opportunities to quantify NHL disparities. MATERIALS AND

methodsUsing Surveillance, Epidemiology, and End Results (SEER) data for NHL cases diagnosed in Georgia from 2001 to 2015, we examined NHL incidence rates by lymphoma subtype and racial differences in baseline characteristics and outcomes for diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). Cox regression models identified predictors of overall survival (OS).

resultsSEER documented 38,504 NHL cases in Georgia from 2001 to 2015. The age-adjusted incidence rate for NHL in Georgia increased 1.03% per year, and the annual percentage change was 1.72 in blacks compared with 0.84 in whites. Compared with whites, blacks with DLBCL and FL were more likely to be diagnosed at a younger age (DLBCL, 54.1 vs. 65.5 years; P < .0001; FL, 58.4 vs. 64.0 years; P < .0001) and with B symptoms (DLBCL, 44.4% vs. 33.4%; P < .0001; FL, 28.5% vs. 21.4%; P = .004). Across racial categories, age at diagnosis > 60 years, advanced stage, and B symptoms predicted worse OS in DLBCL and FL. Blacks with DLBCL more commonly were diagnosed with stage III/IV disease (55.5% vs. 48.1%; P < .0001) and had worse 5-year relative survival (58.8% vs. 62.3%; P = .01).

conclusionsRegional cancer registry data can be used to define incidence patterns and disparities in outcomes across NHL subtypes to help define key targets for interventions in a catchment area.

Indexed as

EthnicityHealthcare DisparitiesAdolescentAdultAgedAge DistributionFemaleHumansIncidenceLymphomaMaleMiddle AgedNeoplasm StagingProportional Hazards ModelsPublic Health SurveillanceSEER ProgramDiffuse large B-cell lymphomaFollicular lymphomaNon-Hodgkin lymphomaRacial differencesSEER

Identifiers

PMID31494062
PMCPMC6875621

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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.