Evidence map›Paper›PMID 36671416›Full record

ArticleBiomolecules2022

Circulating Fibroblast Growth Factor-23 Levels Can Predict Rapid Kidney Function Decline in a Healthy Population: A Community-Based Study.

Hsing-Yu Chen, Wei-Ching Fang, Shao-Chi Chu, Po-Hsi Wang, Chin-Chan Lee, I-Wen Wu, Chiao-Yin Sun, Heng-Jung Hsu, Chun-Yu Chen, Yung-Chang Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 42% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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

12 authors at 5 institutions in 1 country.

Hsing-Yu ChenSchool of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Wei-Ching FangDepartment of Family Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.
Shao-Chi ChuDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan.
Po-Hsi WangDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan.
Chin-Chan LeeDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan.
I-Wen WuDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan.ORCID 0000-0001-8535-3582
Chiao-Yin SunDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan.
Heng-Jung HsuDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan.ORCID 0000-0002-6283-6239
Chun-Yu ChenDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan.ORCID 0000-0001-6054-1974
Yung-Chang ChenCollege of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Vin-Cent WuDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan.ORCID 0000-0001-7935-0991
Heng-Chih PanDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung 204, Taiwan.ORCID 0000-0001-5782-7138
Chang Gung University · TWKeelung Chang Gung Memorial Hospital · TWLinkou Chang Gung Memorial Hospital · TWNational Taiwan University · TWNational Taiwan University Hospital · TW

Funding

Chang Gung Memorial Hospital CLRPG2L0051Chang Gung Memorial Hospital CMRPG1M0041Chang Gung Memorial Hospital CMRPG-2G0361Chang Gung Memorial Hospital CMRPG-2H0161Chang Gung Memorial Hospital CMRPG-2J0261Chang Gung Memorial Hospital CMRPG-2K0091Chang Gung Memorial Hospital CORPG1L0021Ministry of Science and Technology MOST 106–2314-B-182A-064Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) MOST 107-2314-B-182A-138Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) MOST 108-2314-B-182A-027Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) MOST 111-2314-B-182A-074-MY3Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) MOST 111-2320-B-182-035-MY3
6 · The paper itself

Abstract

backgroundFibroblast growth factor-23 (FGF-23) associates with decreased kidney function in patients with chronic kidney disease (CKD). However, the correlation between circulating FGF-23 levels and the rate of renal function decline in healthy individuals is largely unknown. We aimed to evaluate the predictive performance of FGF-23 for rapid kidney function decline (RKFD) in a community-based study.

methodsA total of 2963 people residing in northern Taiwan were enrolled from August 2013 to May 2018 for an annual assessment of kidney function for five years. The baseline estimated glomerular filtration rates (eGFR) were calculated using the 2009 and 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation, which aggregates the values of serum creatinine and cystatin C (eGFRcr-cys). The outcome was RKFD-a 15% decrease in estimated glomerular filtration rate (eGFR) within the first four years, and a reduction in eGFR without improvement in the 5th year. A generalized additive model (GAM) was used to determine the cut-off value of FGF-23 to predict RKFD.

resultsThe incidence of RKFD was 18.0% (114/634). After matching for age and sex at a 1:1 ratio, a total of 220 subjects were analyzed. eGFRcr-cys was negatively correlated with total vitamin D level but seemed irrelevant to FGF-23. Multivariable logistic regression analysis showed that FGF-23, eGFRcr-cys, and urine albumin-to-creatinine ratio (UACR) were independent predictors of the possibility of RKFD. FGF-23 showed the best predictive performance for RKFD (AUROC: 0.803), followed by baseline eGFRcr-cys (AUROC: 0.639) and UACR (AUROC: 0.591). From the GAM, 32 pg/mL was the most appropriate cut-off value of FGF-23 with which to predict RKFD. The subgroup and sensitivity analyses showed consistent results that high-FGF-23 subjects had higher risks of RKFD.

conclusionsCirculating FGF-23 level could be a helpful predictor for RKFD in this community-based population.

Indexed as

Fibroblast Growth Factor-23Renal Insufficiency, ChronicGlomerular Filtration RateHumansKidneyKidney Function TestsFibroblast Growth Factor-23biomarkerchronic kidney diseaseFGF-23rapid kidney function decline

Identifiers

PMID36671416
PMCPMC9856057
OpenAlexW4313246609

What OpenQuestion 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 OpenQuestion graph.