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Record W4282920126 · doi:10.21037/tau-22-280

Baseline urine pH is related to effective urine alkalization by short-term alkaline water supplementation: data from a self-controlled study in healthy Chinese volunteers following a systematic review and meta-analysis of literature

2022· review· en· W4282920126 on OpenAlexaboutno aff
Guanghan Zhang, Tuo Deng, Ruiqi Deng, Xin‐Yuan Sun, Yinghua He, Zezhen Liu

Bibliographic record

VenueTranslational Andrology and Urology · 2022
Typereview
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsnot available
FundersBasic and Applied Basic Research Foundation of Guangdong ProvinceGuangzhou Municipal Science and Technology Bureau
KeywordsUrineMeta-analysisCochrane LibraryAlkaline phosphataseMedicineUrinary systemInternal medicineChemistryBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Background: The outcomes of urine alkalization with alkaline water supplementation vary greatly across studies and therefore remain inconclusive, probably arising from differences in study design, ethnic group, and source of alkaline water, which needs further clarification. With a systematic review of literature, followed by an empirical observation among healthy Chinese volunteers, we aimed to investigate the outcomes of urine alkalization with alkaline water vs. daily drinking water, and whether these outcomes are intersected by certain factors such as gender and body mass index (BMI). Methods: -statistic test were used to examine the data heterogeneity. The studies were evaluated for quality using the Cochrane risk of bias tool or Newcastle-Ottawa Scale (NOS). The meta-analysis was followed by a study in healthy volunteers. As per protocol, all subjects remained on regular drinking water for one week and were switched to alkaline water for the next week. Urine pH was measured thrice daily and averaged. The mean urine pH values in the first and second weeks were compared for all subjects. Alkalization gains in urine pH (AGU-pH) was computed to determine the outcome of alkaline water supplementation in relation to baseline urine pH. Results: . 6.22±0.22, P=0.0016). The negative correlation between AGU-pH and baseline urine pH (r=-0.236, P=0.044) and receiver operating curve (ROC) analysis suggested that subjects with more "acidic" urine, particularly those with a baseline urine pH ≤6.0 (maximum Youden index =1.548, cut-off =5.977), could show more pronounced outcome of urine alkalization from oral alkaline water. Conclusions: Our meta-analysis and human subjects study revealed that alkaline water supplementation may be useful for urine alkalization, particularly in individuals with a lower urine pH. The outcomes seem not significantly pronounced in females, although more efforts warranted for validation. Short-term use of alkaline water is well-tolerated and not associated with over-alkalization of the urine.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.273
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.383
Teacher spread0.337 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

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