Evidence map›Paper›PMID 32147204›Full record

ReviewRevue neurologique2020

The effects of diet and sex in amyotrophic lateral sclerosis.

J A Pape, J H Grose

Open access · hybridAbstract readReview
In one paragraph

Review in Revue neurologique, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

J A PapeDepartment of Microbiology and Molecular Biology, Provo, United States.
J H GroseDepartment of Microbiology and Molecular Biology, Provo, United States. Electronic address: julianne_grose@byu.edu.
Provo College · US

Funding

Regulation and Function of PAS Kinase - PASsing glucose to control respiration, lipogenesis and cell cycleR15GM100376 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI GROSE, JULIANNE H. · 2012 to 2022
$1.3M
NIGMS NIH HHS R15 GM100376
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease with no known cure. Approximately 90% of ALS cases are sporadic, suggesting there are multiple contributing factors that influence the disease risk, onset, and progression. Diet and sex are two factors that have been reported to alter ALS risk, onset and progression in humans and in animal models, providing potential modifiers of disease. Several epidemiological studies have identified diets that positively affect ALS patients, including various high-calorie fat or sugar-based diets, while animal models have been developed to test how these diets are working on a molecular level. These diets may offset the metabolic alterations that occur in ALS, such as hypermetabolism, lowered body mass index(BMI), and hyperlipidemia. Sex-dependent differences have also come forth from large-scale epidemiological studies as well as mouse-model studies. In addition, sex hormones have been shown to affect disease risk or progression. Herein, studies on the effects of diet and sex on ALS risk, onset, and progression will be reviewed. Understanding these diet- and sex-dependent outcomes may lead to optimized patient-specific therapies for ALS.

Indexed as

DietSex CharacteristicsAmyotrophic Lateral SclerosisAnimalsBody Mass IndexDisease Models, AnimalDisease ProgressionFemaleGonadal Steroid HormonesHumansMaleMiceGonadal Steroid HormonesAmyotrophic Lateral SclerosisDietMetabolismSex

Identifiers

PMID32147204
PMCPMC8915943
OpenAlexW3011306511

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.