Evidence map›Paper›PMID 36687712›Full record

ArticleFrontiers in nutrition2022

Dietary intake of animal-based products and likelihood of follicular lymphoma and survival: A population-based family case-control study.

Michael K Odutola, Marina T van Leeuwen, Julie K Bassett, Fiona Bruinsma, Jennifer Turner, John F Seymour, Henry Miles Prince, Samuel T Milliken, Mark Hertzberg, Fernando Roncolato and 10 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

20 authors at 11 institutions in 1 country.

Michael K OdutolaCentre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia.
Marina T van LeeuwenCentre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia.
Julie K BassettCancer Epidemiology Division, Cancer Council Victoria, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Fiona BruinsmaCancer Epidemiology Division, Cancer Council Victoria, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Jennifer TurnerDouglass Hanly Moir Pathology, Macquarie Park, NSW, Australia.
John F SeymourRoyal Melbourne Hospital, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, VIC, Australia.
Henry Miles PrinceEpworth Healthcare and Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia.
Samuel T MillikenSt. Vincent's Hospital, University of New South Wales, Sydney, NSW, Australia.
Mark HertzbergDepartment of Haematology, Prince of Wales Hospital, University of New South Wales, Sydney, NSW, Australia.
Fernando RoncolatoSt. George Hospital, Kogarah, NSW, Australia.
Stephen S OpatClinical Haematology, Monash Health and Monash University, Clayton, VIC, Australia.
Robert LindemanNew South Wales Health Pathology, University of New South Wales, Sydney, NSW, Australia.
Campbell TileyGosford Hospital, The University of Newcastle, Callaghan, NSW, Australia.
Judith TrotmanConcord Repatriation General Hospital, University of Sydney, Concord, NSW, Australia.
Emma VernerConcord Repatriation General Hospital, University of Sydney, Concord, NSW, Australia.
Michael HarveyLiverpool Hospital, Western Sydney University, Liverpool, NSW, Australia.
Craig R UnderhillBorder Medical Oncology Research Unit, Rural Medical School, Albury, NSW, Australia.
Geza BenkeSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Claire M VajdicCentre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia.
UNSW Sydney · AUCancer Council Victoria · AUConcord Repatriation General Hospital · AUDouglass Hanly Moir Pathology · AUGosford Hospital · AULiverpool Hospital · AUMonash Health · AUMonash University · AUPeter MacCallum Cancer Centre · AUThe University of Melbourne · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between dietary intake of foods of animal origin and follicular lymphoma (FL) risk and survival is uncertain. In this study, we examined the relationship between dietary intake of dairy foods and fats, meat, fish and seafoods, and the likelihood of FL and survival. Methods: We conducted a population-based family case-control study in Australia between 2011 and 2016 and included 710 cases, 303 siblings and 186 spouse/partner controls. We assessed dietary intake of animal products prior to diagnosis (the year before last) using a structured food frequency questionnaire and followed-up cases over a median of 6.9 years using record linkage to national death data. We examined associations with the likelihood of FL using logistic regression and used Cox regression to assess association with all-cause and FL-specific mortality among cases. Results: We observed an increased likelihood of FL with increasing daily quantity of oily fish consumption in the year before last (highest category OR = 1.96, CI = 1.02-3.77; Conclusion: Our study showed suggestive evidence of a positive association between oily fish intake and the likelihood of FL, but findings varied by control type. Further investigation of the potential role of environmental contaminants in oily fish on FL etiology is warranted.

Indexed as

animal productfishfollicular lymphomarisksurvival

Identifiers

PMID36687712
PMCPMC9846614
OpenAlexW4313588574

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.