Evidence map›Paper›PMID 26330148›Full record

ArticleEuropean journal of clinical nutrition2016

Nutritional factors and non-Hodgkin lymphoma survival in an ethnically diverse population: the Multiethnic Cohort.

Q J N Leo, N J Ollberding, L R Wilkens, L N Kolonel, B E Henderson, L Le Marchand, G Maskarinec

Abstract read
In one paragraph

Article in European journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 4 pooled it
0.4field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 4 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
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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 at 6 institutions in 1 country.

Q J N LeoCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
N J OllberdingDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
L R WilkensCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
L N KolonelCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
B E HendersonDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
L Le MarchandCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
G MaskarinecCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
University of Hawaii System · USCancer Center of Hawaii · USCincinnati Children's Hospital Medical Center · USUniversity of Hawaiʻi at Mānoa · USUniversity of Hawaii Cancer CenterUniversity of Southern California · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
Understanding Ethnic Differences in Cancer: The Multiethnic Cohort StudyUM1CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HENDERSON, BRIAN E, LE MARCHAND, LOIC · 2012 to 2014
$11.3M
NCI NIH HHS HHSN261201000037CNCI NIH HHS N01 PC035137NCI NIH HHS N01 PC035139NCI NIH HHS N01-PC-35137NCI NIH HHS N01-PC-35139NCI NIH HHS P30 CA071789NCI NIH HHS R37 CA054281NCI NIH HHS R37CA54281NCI NIH HHS U01 CA164973NCI NIH HHS UM1 CA164973NCI NIH HHS UM1CA164973
6 · The paper itself

Abstract

BACKGROUND/

objectivesTo understand the possible effect of modifiable health behaviors on the prognosis of the increasing number of non-Hodgkin lymphoma (NHL) survivors, we examined the pre-diagnostic intake of major food groups with all-cause and NHL-specific survival in the Multiethnic Cohort (MEC). SUBJECTS/

methodsThis analysis included 2339 participants free of NHL at cohort entry and diagnosed with NHL as identified by cancer registries during follow-up. Deaths were ascertained through routine linkages to state and national death registries. Cox proportional hazards regression was applied to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for overall and NHL-specific mortality according to pre-diagnostic intake of vegetables, fruits, red meat, processed meat, fish, legumes, dietary fiber, dairy products and soy foods assessed by food frequency questionnaire.

resultsThe mean age at diagnosis was 71.8±8.5 years. During 4.5±4.1 years of follow-up, 1348 deaths, including 903 NHL-specific deaths, occurred. In multivariable models, dairy intake was associated with higher all-cause mortality (highest vs lowest tertile: HR=1.14, 95% CI 1.00-1.31, Ptrend=0.03) and NHL-specific (HR=1.16, 95% CI 0.98-1.37) mortality. Legume intake above the lowest tertile was related to significant 13-16% lower all-cause and NHL-specific mortality, whereas red meat and fish intake in the intermediate tertiles was associated with lower NHL-specific mortality. No association with survival was detected for the other food groups.

conclusionsThese data suggest that pre-diagnostic dietary intake may not appreciably contribute to NHL survival, although the higher mortality for dairy products and the better prognosis associated with legumes agree with known biologic effects of these foods.

Indexed as

DietEthnicityFeeding BehaviorSurvivorsAgedFemaleFoodHumansLymphoma, Non-HodgkinMaleMiddle AgedProportional Hazards ModelsSurveys and Questionnaires

Identifiers

PMID26330148
PMCPMC4562319
OpenAlexW1590902482

What OpenQuestion holds

Textmetadata
LicenceTDM
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.