Evidence map›Paper›PMID 42423994›Full record

SynthesisCalcified tissue international2026

Effects of Potassium Citrate Supplementation on Bone Turnover Markers in Postmenopausal Women: A GRADE-Assessed Systematic Review, Meta-analysis and Trial Sequential Analysis.

Najat AlSejari, Noura Saad Alkhulaifi, Rahaf Saad Alenezi, Abdullah M Alharran, Amal A Alsubaiei

Abstract readSystematic ReviewMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Calcified tissue international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Najat AlSejariKuwait Institute for Medical Specializations, Kuwait City, Kuwait.
Noura Saad AlkhulaifiCollege of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.
Rahaf Saad AleneziCollege of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.
Abdullah M AlharranCollege of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain. Dr_alharran@outlook.com.ORCID http://orcid.org/0009-0003-2337-6588
Amal A AlsubaieiKuwait Institute for Medical Specializations, Kuwait City, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis and osteopenia are major health burdens among postmenopausal women. Potassium citrate, which is an alkaline salt that neutralizes the acid load in the diet is a preventive measure for bone loss. We conducted a systematic review and meta-analysis following PRISMA guidelines. We searched PubMed, Web of Science, Scopus, and Cochrane CENTRAL for randomized controlled trials examining potassium citrate supplementation effects on bone health outcomes in postmenopausal women. Random-effects models calculated mean differences with 95% confidence intervals. Trial sequential analysis assessed evidence sufficiency. Five RCTs involving 401 postmenopausal women were included. Potassium citrate significantly reduced urinary N-terminal telopeptide (NTX) at 1 month compared with placebo (MD = - 4.05 nmol BCE/mmol creatinine; 95% CI - 8.05 to - 0.05; p = 0.0474; I

Indexed as

Bone RemodelingOsteoporosis, PostmenopausalPostmenopausePotassium CitrateBiomarkersCollagen Type IDietary SupplementsFemaleHumansPeptidesRandomized Controlled Trials as TopicBiomarkersCollagen Type Icollagen type I trimeric cross-linked peptidePeptidesPotassium CitrateBone turnover markersMeta-analysisOsteopeniaPostmenopausal womenPotassium citrate

Identifiers

What OpenQuestion holds

Textmetadata
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.