Evidence map›Paper›PMID 33841859›Full record

ArticleClinical kidney journal2021

Agalsidase beta treatment slows estimated glomerular filtration rate loss in classic Fabry disease patients: results from an individual patient data meta-analysis.

Alberto Ortiz, Steve Kanters, Alaa Hamed, Pronabesh DasMahapatra, Eugene Poggio, Manish Maski, Mario Aguiar, Elvira Ponce, Jeroen P Jansen, Dieter Ayers and 2 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Genetic Susceptibility to Chronic Kidney Disease: Links, Risks and Management.International journal of nephrology and renovascular disease · 2023
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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

12 authors.

Alberto OrtizUnidad de Diálisis, IIS-Fundación Jiménez Díaz, School of Medicine, UAM, IRSIN and REDINREN, Madrid, Spain.
Steve KantersEvidence Synthesis and Decision Modeling, Precision HEOR, Vancouver, BC, Canada.
Alaa HamedSanofi Genzyme Health Economics and Value Assessment, Genzyme, Cambridge, MA, USA.
Pronabesh DasMahapatraSanofi Genzyme Health Economics and Value Assessment, Genzyme, Cambridge, MA, USA.
Eugene PoggioBiostatistical Consulting Inc., Lexington, MA, USA.
Manish MaskiSanofi Genzyme Medical Affairs, Genzyme, Cambridge, MA, USA.
Mario AguiarSanofi Genzyme Medical Affairs, Genzyme, Cambridge, MA, USA.
Elvira PonceSanofi Genzyme Medical Affairs, Genzyme, Cambridge, MA, USA.
Jeroen P JansenEvidence Synthesis and Decision Modeling, Precision HEOR, Oakland, CA, USA.
Dieter AyersEvidence Synthesis and Decision Modeling, Precision HEOR, Vancouver, BC, Canada.
Rachel GoldgrubEvidence Synthesis and Decision Modeling, Precision HEOR, Vancouver, BC, Canada.
Robert J DesnickDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFabry disease is a rare, X-linked genetic disorder that, if untreated in patients with the Classic phenotype, often progresses to end-stage kidney disease. This meta-analysis determined the effect of agalsidase beta on loss of estimated glomerular filtration rate (eGFR) in the Classic phenotype using an expansive evidence base of individual patient-level data.

methodsThe evidence base included four Sanofi-Genzyme studies and six studies from a systematic literature review. These were restricted to Classic Fabry patients meeting the eligibility criteria from Phases III and IV agalsidase beta trials, including 315 patients (161 treated). Linear regression was first used to model annual change in eGFR for each patient and the resulting annualized eGFR slopes were modelled with treatment and covariates using quantile regression. These results were then used to estimate median annualized eGFR change in agalsidase beta treated versus untreated groups.

resultsImbalances across treatment groups were found in baseline age, sex and proteinuria, but not in the use of renin-angiotensin system blockers. The adjusted model suggests that treated (agalsidase beta) patients experienced a slower median eGFR decrease [2.46 mL/min/1.73 m

conclusionsUsing an expansive evidence base and robust modelling approach, these data indicate that agalsidase beta-treated patients with the Classic phenotype conserve their renal function better than untreated patients.

Indexed as

agalsidase betachronic kidney disease outcomesclassic phenotypeFabry diseaseglomerular filtration rateindividual patient data meta-analysis

Identifiers

PMID33841859
PMCPMC8023189

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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.