Journal

Reply to “Biological variation of serum cholinesterase activity in healthy subjects”: analytical validation of cholinesterase activity measurement in routine practice: experience from a French clinical laboratoryPierre Mercieron April 29, 2026 at 10:00 am

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Clin Chem Lab Med. 2026 Apr 29. doi: 10.1515/cclm-2026-0465. Online ahead of print. NO ABSTRACT PMID:42053521 | DOI:10.1515/cclm-2026-0465

No association between high plasma ionized calcium and minor neuropsychological symptoms in two general population cohortsCamilla J Kobyleckion April 29, 2026 at 10:00 am

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Clin Chem Lab Med. 2026 Apr 29. doi: 10.1515/cclm-2025-1356. Online ahead of print. ABSTRACT OBJECTIVES: Hypercalcemia has been associated with various non-specific minor neuropsychological symptoms but mainly in patient cohorts. Whether hypercalcemia is the cause or an innocent bystander in relation to these symptoms remains unclear. METHODS: We included 5,917 individuals from the Copenhagen City … Read more

Real-world performance of Lumipulse G plasma p-tau217: a six-month experience of a specialized clinical neurochemistry laboratoryBurak Arslanon April 29, 2026 at 10:00 am

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Clin Chem Lab Med. 2026 Apr 29. doi: 10.1515/cclm-2026-0370. Online ahead of print. ABSTRACT OBJECTIVES: Plasma p-tau217 is a leading blood-based biomarker for Alzheimer’s disease (AD), offering high diagnostic accuracy and potential utility for treatment eligibility and monitoring. However, real-world data on concordance between cerebrospinal fluid (CSF) Aβ42/40 and plasma p-tau217 in routine clinical laboratory … Read more

Clinical validation and implementation of mSTOP, a machine learning-based, longitudinal prediction model for the early identification of non-small cell lung cancer patients who not benefit from immune checkpoint inhibitor treatmentHuub H van Rossumon April 29, 2026 at 10:00 am

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Clin Chem Lab Med. 2026 Apr 29. doi: 10.1515/cclm-2025-1624. Online ahead of print. ABSTRACT OBJECTIVES: There has been a lot of interest in the field of laboratory medicine regarding the use of machine learning (ML)-based prediction models. The longitudinal ML-based Serum Tumor marker-based Outcome Prediction (STOP) model was previously developed to identify non-small cell lung … Read more

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