Evidence map›Paper›PMID 30837942›Full record

ArticleFrontiers in neurology2019

Higher Non-processed Red Meat Consumption Is Associated With a Reduced Risk of Central Nervous System Demyelination.

Lucinda J Black, Gabrielle S Bowe, Gavin Pereira, Robyn M Lucas, Keith Dear, Ingrid van der Mei, Jill L Sherriff, Ausimmune Investigator Group

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

8 authors at 5 institutions in 1 country.

Lucinda J BlackSchool of Public Health, Curtin University, Perth, WA, Australia.
Gabrielle S BoweSchool of Public Health, Curtin University, Perth, WA, Australia.
Gavin PereiraSchool of Public Health, Curtin University, Perth, WA, Australia.
Robyn M LucasResearch School of Population Health, National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.
Keith DearSchool of Public Health, University of Adelaide, Adelaide, SA, Australia.
Ingrid van der MeiMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Jill L SherriffSchool of Public Health, Curtin University, Perth, WA, Australia.
Ausimmune Investigator Group
Curtin University · AUThe Kids Research Institute Australia · AUUniversity of Adelaide · AUUniversity of Tasmania · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evidence associating red meat consumption and risk of multiple sclerosis is inconclusive. We tested associations between red meat consumption and risk of a first clinical diagnosis of central nervous system demyelination (FCD), often presaging a diagnosis of multiple sclerosis. We used food frequency questionnaire data from the 2003-2006 Ausimmune Study, an incident, matched, case-control study examining environmental risk factors for FCD. We calculated non-processed and processed red meat density (g/1,000 kcal/day). Conditional logistic regression models (with participants matched on age, sex, and study region) were used to estimate odds ratios (ORs), 95% confidence intervals (95% CI) and

Indexed as

Ausimmune Studydietmultiple sclerosisprocessed meatred meat

Identifiers

PMID30837942
PMCPMC6389668
OpenAlexW2928130276

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.