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Record W3094112299 · doi:10.1177/2054358120964078

A Higher Concentration of Dialysate Magnesium to Reduce the Frequency of Muscle Cramps: A Narrative Review

2020· review· en· W3094112299 on OpenAlexafffund
Akshay Varghese, Eduardo Lacson, Jessica M. Sontrop, Rey Acedillo, Ahmed A. Al‐Jaishi, Sierra Anderson, Amit Bagga, Katie L. Bain, Laura L. Bennett, Clara Bohm, Pierre Antoine Brown, Christopher T. Chan, Brenden Cote, Varun Dev, Bonnie N. Field, Claire Harris, Shasikara Kalatharan, Mercedeh Kiaii, Amber O. Molnar, Matthew J. Oliver, Malvinder S. Parmar, Melissa Schorr, Nikhil Shah, Samuel A. Silver, Dean Smith, Manish M. Sood, Irina St. Louis, Karthik Tennankore, Stephanie Thompson, Marcello Tonelli, Hans Vorster, Blair Waldvogel, James Zacharias, Amit X. Garg

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2020
Typereview
Languageen
FieldNursing
TopicMagnesium in Health and Disease
Canadian institutionsQueen's UniversityUniversity of AlbertaSunnybrook Health Science CentreMcMaster UniversityUniversity of British ColumbiaUniversity of TorontoHealth Sciences CentreWindsor Regional HospitalUniversity Health NetworkKingston Health Sciences CentreUniversity of OttawaBC Cancer AgencyUniversity of ManitobaUniversity of CalgaryThunder Bay Regional Health Sciences CentreSt. Paul's HospitalDalhousie UniversityHumber River Regional HospitalLondon Health Sciences Centre
FundersCanadian Institutes of Health Research
KeywordsMedicineMuscle crampMagnesiumInternal medicineMetallurgy

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Strategies to mitigate muscle cramps are a top research priority for patients receiving hemodialysis. As hypomagnesemia is a possible risk factor for cramping, we reviewed the literature to better understand the physiology of cramping as well as the epidemiology of hypomagnesemia and muscle cramps. We also sought to review the evidence from interventional studies on the effect of oral and dialysate magnesium-based therapies on muscle cramps. SOURCES OF INFORMATION: Peer-reviewed articles. METHODS: We searched for relevant articles in major bibliographic databases including MEDLINE and EMBASE. The methodological quality of interventional studies was assessed using a modified version of the Downs and Blacks criteria checklist. KEY FINDINGS: The etiology of muscle cramps in patients receiving hemodialysis is poorly understood and there are no clear evidence-based prevention or treatment strategies. Several factors may play a role including a low concentration of serum magnesium. The prevalence of hypomagnesemia (concentration of <0.7 mmol/L) in patients receiving hemodialysis ranges from 10% to 20%. Causes of hypomagnesemia include a low dietary intake of magnesium, use of medications that inhibit magnesium absorption (eg, proton pump inhibitors), increased magnesium excretion (eg, high-dose loop diuretics), and a low concentration of dialysate magnesium. Dialysate magnesium concentrations of ≤0.5 mmol/L may be associated with a decrease in serum magnesium concentration over time. Preliminary evidence from observational and interventional studies suggests a higher dialysate magnesium concentration will raise serum magnesium concentrations and may reduce the frequency and severity of muscle cramps. However, the quality of evidence supporting this benefit is limited, and larger, multicenter clinical trials are needed to further determine if magnesium-based therapy can reduce muscle cramps in patients receiving hemodialysis. In studies conducted to date, increasing the concentration of dialysate magnesium appears to be well-tolerated and is associated with a low risk of symptomatic hypermagnesemia. LIMITATIONS: Few interventional studies have examined the effect of magnesium-based therapy on muscle cramps in patients receiving hemodialysis and most were nonrandomized, pre-post study designs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.674
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.350
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Kidney Health and DiseaseSame topicMagnesium in Health and DiseaseFrench-language works237,207