Observational studyJournal of inherited metabolic disease2026
Real-Life Application of a Point-of-Care Biosensor for Phenylalanine in Patients With Phenylketonuria.
Observational study in Journal of inherited metabolic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 2 papers.
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.
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.
PheCheck Feasibility Study
Egoo Phe System - A Blood Phenylalanine Self-Test Measuring System
Who cites it
2 citing papers in PubMed.
- Letter to the Editor in Response to Gondrand Et al. "Real-Life Application of a Point-of-Care Biosensor for Phenylalanine in Patients With Phenylketonuria".Journal of inherited metabolic disease · 2026Article
- Real-Life Application of a Point-of-Care Biosensor for Phenylalanine in Patients With Phenylketonuria.Journal of inherited metabolic disease · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Phenylketonuria (PKU) is a rare metabolic disorder causing elevated phenylalanine (PHE) levels requiring lifelong dietary or pharmacological management and regular monitoring. Current PHE monitoring methods, such as tandem mass spectrometry (FIA-MS/MS), are laboratory and sample transport-dependent, leading to delays in obtaining results. This highlights the need for accessible point-of-care (PoC) solutions. Building on a previously developed bioluminescence-based PHE quantification method, we created a PoC PHE sensor integrated with a smartphone app (phenyx app) for real-time monitoring and data sharing. In a clinical study with PKU patients, we evaluated the reliability of the sensor and the app by comparing at-home PHE measurements with dried blood samples (DBS) analyzed using the gold standard FIA-MS/MS. We also assessed time differences between sampling and results, sensor practicality, and user experience. Forty-seven PKU patients (median age 10.0 years, range 0.7-53.4) performed one supervised and four at-home measurements using the PHE sensor, alongside DBS sampling for FIA-MS/MS. The sensor showed higher PHE values than FIA-MS/MS, with a mean difference of 84.8 μmol/L (p = 0.0017). Variability was influenced by test supervision (clinic vs. home) and test kit age (greater difference in older batches, p = 0.001). Usability of the PHE sensor and phenyx app was rated favorably; all patients preferred the PHE sensor over laboratory testing. PoC measurement using the PHE sensor and phenyx app is feasible, reliable, and provides rapid results comparable to FIA-MS/MS, representing a key step toward patient self-testing. Trial Registration: NCT05998109, NCT06940193, DRKS00031972.
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What Socratic holds
Registered trials
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.