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Record W4402555101 · doi:10.1093/ndt/gfae200

Effects of dietary interventions for metabolic acidosis in chronic kidney disease: a systematic review and meta-analysis

2024· review· en· W4402555101 on OpenAlexafffund
Sepideh Mahboobi, Rebecca C. Mollard, Navdeep Tangri, Nicole Askin, Thomas W. Ferguson, Tahmina Rahman, Rasheda Rabbani, Ahmed M Abou-Setta, Dylan MacKay

Bibliographic record

VenueNephrology Dialysis Transplantation · 2024
Typereview
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsUniversity of ManitobaGeorge & Fay Yee Centre for Healthcare InnovationManitoba HealthSeven Oaks General Hospital
FundersCanadian Institutes of Health ResearchMitacsUniversity of Manitoba
KeywordsMedicineKidney diseasePsychological interventionMetabolic acidosisInternal medicineMeta-analysisIntensive care medicineAcidosisSystematic reviewMEDLINE

Abstract

fetched live from OpenAlex

BACKGROUND: Metabolic acidosis is a common complication of kidney disease and can result in further disease progression. Alkali therapy has been used to treat metabolic acidosis for decades. However, some concerns have been raised regarding its safety and long-term tolerability. Existing data suggest that dietary interventions can be beneficial in the management of chronic kidney disease (CKD). This systematic review and meta-analysis aims to summarize findings from studies comparing dietary interventions with placebo/usual care/no treatment in the management of metabolic acidosis in outpatient adults with CKD. METHODS: Medline, Embase, Cochrane Central, CINAHL and Web of Science Core Collection were searched from inception to June 2022. Our primary outcome measure was change in serum bicarbonate. Any dietary intervention looking to manipulate dietary acid load was considered as an intervention. Data screening and extraction were performed by two independent reviewers. Random effects meta-analysis was performed to pool data. RESULTS: Dietary interventions resulted in clinically significant improvement in serum bicarbonate [mean difference 2.98 (95% confidence interval 0.77, 5.19); I2: 91%] and higher estimated glomerular filtration rate (eGFR) levels [mean difference 3.16 (95% confidence interval 0.24, 6.08); I2: 67%] compared with controls. Serum potassium, albumin and body mass index remained unchanged. Dietary interventions were reported to be safe. Subgroup analyses indicated a superiority of plant-based over non-plant-based interventions in the improvement of acid-base balance and eGFR; however, these findings are from low-quality and heterogenous studies. CONCLUSION: Our findings support the beneficial effects of dietary interventions aimed at reducing acid or adding base in the management of metabolic acidosis and kidney function in adults with CKD, with no adverse effects on serum potassium and nutritional status. Well-designed clinical trials looking at the treatment of metabolic acidosis with dietary interventions with a focus on adding base through fruit and vegetables are required.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.025
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.039
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.048
GPT teacher head0.361
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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

Citations7
Published2024
Admission routes2
Has abstractyes

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