Evidence map›Paper›PMID 33265953›Full record

ReviewNutrients2020

Iron Metabolism: Interactions with Energy and Carbohydrate Availability.

Alannah K A McKay, David B Pyne, Louise M Burke, Peter Peeling

Abstract readReview
In one paragraph

Review in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  16. Iron Status and Physical Performance in Athletes.Life (Basel, Switzerland) · 2023
    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

4 authors.

Alannah K A McKayMary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC 3000, Australia.
David B PyneResearch Institute for Sport and Exercise, University of Canberra, Canberra, ACT 2617, Australia.ORCID 0000-0003-1555-5079
Louise M BurkeMary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC 3000, Australia.
Peter PeelingSchool of Human Sciences (Exercise and Sport Science), University of Western Australia, Crawley, WA 6009, Australia.ORCID 0000-0002-3895-0015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The provision or restriction of select nutrients in an athlete's diet can elicit a variety of changes in fuel utilization, training adaptation, and performance outcomes. Furthermore, nutrient availability can also influence athlete health, with one key system of interest being iron metabolism. The aim of this review was to synthesize the current evidence examining the impact of dietary manipulations on the iron regulatory response to exercise. Specifically, we assessed the impact of both acute and chronic carbohydrate (CHO) restriction on iron metabolism, with relevance to contemporary sports nutrition approaches, including models of periodized CHO availability and ketogenic low CHO high fat diets. Additionally, we reviewed the current evidence linking poor iron status and altered hepcidin activity with low energy availability in athletes. A cohesive understanding of these interactions guides nutritional recommendations for athletes struggling to maintain healthy iron stores, and highlights future directions and knowledge gaps specific to elite athletes.

Indexed as

Sports Nutritional Physiological PhenomenaAthletesAthletic PerformanceDietary CarbohydratesDiet, Carbohydrate-RestrictedDiet, High-FatExerciseHepcidinsHumansIronIron, DietaryObservational Studies as TopicDietary CarbohydratesHepcidinsIronIron, Dietarycarbohydrateexercisehepcidiniron deficiencyketogenic dietslow energy availabilityRED-S

Identifiers

PMID33265953
PMCPMC7761418

What OpenQuestion holds

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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.