Evidence map›Paper›PMID 40995597›Full record

Observational studyFrontiers in endocrinology2025

Assessment of urate-lowering therapies on lipid metabolism and kidney function in non-dialysis chronic kidney disease patients: 12 months multicenter cohort study.

Yousuf Abdulkarim Waheed, Huanhuan Yin, Jie Liu, Shifaa Almayahe, Maryam Bishdary, Karthick Kumaran Munisamy Selvam, Syed Muhammad Farrukh, Shulin Li, Disheng Wang, Xinglei Zhou and 1 more

Erratum issuedAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Yousuf Abdulkarim WaheedDepartment of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Huanhuan YinDepartment of Nephrology, Fengxian People's Hospital, Xuzhou, China.
Jie LiuDepartment of Nephrology, the Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Shifaa AlmayaheMedical College, University of Fallujah, AL Anbar, Iraq.
Maryam BishdaryCentral Michigan University College of Medicine, Mount Pleasant, MI, United States.
Karthick Kumaran Munisamy SelvamDepartment of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Syed Muhammad FarrukhMedical College, Xuzhou Medical University, Xuzhou, China.
Shulin LiDepartment of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Disheng WangDepartment of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Xinglei ZhouDepartment of Nephrology, Fengxian People's Hospital, Xuzhou, China.
Dong SunDepartment of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Urate lowering therapies (ULTs) are primarily used to manage hyperuricemia (HUA), which refers to an increase in serum uric acid (SUA) levels. SUA is an important marker for assessing kidney function in patients complicated with chronic kidney disease (CKD). Recent studies revealed a close relationship between SUA and lipid metabolism. We aim to investigate the impact of ULTs on kidney function and lipid profiles in CKD patients, and further explore the sex-specific ULTs effects on lipid profiles. Method: We conducted a multicenter, prospective observational cohort study, enrolled n=200 patients aged between 20 and 80 years old with stages 3/4 CKD. Patients were divided into two groups: the ULT group (n=94) who were receiving febuxostat or allopurinol, and the Non-ULT group (n=106) who were receiving their conventional CKD therapy, the study employed clinically indicated allocation. ULT initiation was based on physician judgment per guidelines persistent HUA with SUA ≥7 mg/dL in males and ≥6 mg/dL in females with CKD progression risk factors. Models adjusted for all collected confounders, renal function including estimated glomerular filtration rate (eGFR), serum creatinine (Scr), blood urea nitrogen (BUN), and SUA, and lipid profiles including high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), triglyceride (TG), and total cholesterol (TC). Results remained consistent in sensitivity analyses stratifying by baseline characteristics. Subgroups were further analyzed based on sex, to evaluate sex-specific differences in lipid metabolism related to ULTs. All participants went through clinical assessment before and after treatment and were followed for 12 consecutive months. Results: LDL-c significantly decreased in the ULT group compared to the Non-ULT group after 12 months of observation (2.14 ± 0.32 vs. 2.42 ± 0.32 [95% CI: -0.36 to -0.18], Conclusion: In this cohort study of non-dialysis CKD patients, ULT use was associated with improved lipid profiles reduced LDL-c, TG, and TC; increased HDL-c, with greater HDL-c elevation and LDL-c reduction in males. ULTs exposure also correlated with attenuated CKD progression. These findings suggest potential interactions between SUA and lipid metabolism, highlighting ULTs' possible role in managing dyslipidemia and renal function decline in pre-dialysis CKD.

Indexed as

Gout SuppressantsHyperuricemiaKidneyLipid MetabolismRenal Insufficiency, ChronicUric AcidAdultAgedAged, 80 and overAllopurinolCohort StudiesFebuxostatFemaleGlomerular Filtration RateHumansKidney Function TestsAllopurinolFebuxostatGout SuppressantsUric Acidcardiovascular riskchronic kidney diseasedyslipidemiahyperuricemiaserum uric acidurate-lowering therapy

Identifiers

PMID40995597
PMCPMC12454035

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.