Evidence map›Paper›PMID 33308018›Full record

ArticleAmerican journal of physiology. Renal physiology2021

Development of a quantitative systems pharmacology model of chronic kidney disease: metabolic bone disorder.

Adam E Gaweda, Devin E McBride, Eleanor D Lederer, Michael E Brier

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Renal physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

4 authors at 2 institutions in 1 country.

Adam E GawedaDepartment of Medicine, University of Louisville, Louisville, Kentucky.
Devin E McBrideDepartment of Medicine, University of Louisville, Louisville, Kentucky.
Eleanor D LedererMedical Services, Veterans Affairs North Texas Health Sciences Center, Dallas, Texas.
Michael E BrierDepartment of Medicine, University of Louisville, Louisville, Kentucky.
University of Louisville · USThe University of Texas Southwestern Medical Center · US

Funding

Systems Biology Approach to the Management of Chronic Kidney Disease-Mineral Bone DisorderI01CX001614 · VA · VA NORTH TEXAS HEALTH CARE SYSTEM · PI ELEANOR D LEDERER · 2018 to 2026
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CSRD VA I01 CX001614U.S. Department of Veterans Affairs (VA) Merit Review
6 · The paper itself

Abstract

Chronic kidney disease mineral bone disorder (CKD-MBD) is a virtually universal complication of kidney diseases, starting early in the course of disease and resulting in devastating clinical consequences ranging from bone fragility to accelerated atherosclerosis and early cardiovascular death. Guidelines for therapeutic goals for CKD-MBD have been published, and achievement of these guidelines is associated with improved survival. However, the incomplete understanding of CKD-MBD and the individual variability in the manifestations of CKD-MBD have made it difficult to achieve these guidelines. We hypothesized that the progression of MBD through all stages of CKD, including end-stage kidney disease, could be represented by a quantitative systems pharmacology/systems biology (QSP) model. To address this hypothesis, we constructed a QSP model of CKD-MBD, building on an open-source model of calcium and phosphorus metabolism. Specifically, we estimated and validated the model using data from 5,496 patients with CKD enrolled in the Chronic Renal Insufficiency Cohort study. Our model accurately predicted changes in markers of mineral metabolism related to progressing CKD. We demonstrated that the incorporation of fibroblast growth factor 23 and the soft tissue compartment is essential for accurate modeling of the changes in calcium, phosphorus, intact parathyroid hormone, and calcitriol in CKD-MBD. We conclude that our systems biology model accurately represents CKD-MBD disease progression and can be used as a test bench for improving therapeutic interventions.

Indexed as

Machine LearningModels, BiologicalBone Diseases, MetabolicCalciumFibroblast Growth Factor-23Fibroblast Growth FactorsGene Expression RegulationHumansParathyroid HormonePhosphatesRenal Insufficiency, ChronicCalciumFibroblast Growth Factor-23Fibroblast Growth FactorsParathyroid HormonePhosphateschronic kidney diseasemineral bone disorderpersonalized medicinequantitative systems biologyquantitative systems pharmacology

Identifiers

PMID33308018
PMCPMC11163996
OpenAlexW3112274289

What OpenQuestion holds

Textmetadata
LicenceTDM
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.