Results 141 to 150 of about 77,013 (219)

Reconceptualizing Aplastic Anemia—Seed, Worm, Soil

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
Aplastic anemia (AA) encompasses a group of hematological syndromes often misdiagnosed, resulting in a decrease in the overall blood cell count and representing a form of bone marrow failure. We reinterpret AA based on the “seed, worm, and soil” doctrine.
Xintong Xu   +4 more
wiley   +1 more source

Serum Midkine as a Biomarker for Hepatocellular Carcinoma Treatment Response and Prognostication

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
Up‐to‐date, tumor markers are considered more helpful in the evaluation of treatment response and prognostication rather than diagnosis. Identifying a valid biomarker to help clinical management of hepatocellular carcinoma (HCC) is still a challenge, especially the alpha‐fetoprotein (AFP) negative HCC. This study evaluated the efficacy of serum Midkine
Yanfang Luo   +3 more
wiley   +1 more source

Utility of a Combined Diagnostic and Severity Scoring System Based on Complete Blood Count and Derived Immune‐Inflammatory Indicators in Children With Mycoplasma pneumoniae Pneumonia

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
This study developed a simple, low‐cost scoring system using routine complete blood count (CBC) and derived immune‐inflammatory indicators (LYM%, PLT, PCT, and PLT × LYM) for early diagnosis of Mycoplasma pneumoniae pneumonia (MPP) in 1662 children. Age‐stratified analysis confirmed that key indicators remained significantly higher in the pneumonia ...
Quan Liu   +5 more
wiley   +1 more source

A New Diagnostic Approach Using the NLR/LMR Ratio in the Differential Diagnosis of Neck Masses: Hematologic Evaluation of Patients With Cervical Lymphadenopathy

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
This study evaluates complete blood count–derived inflammatory ratios for differentiating lymphoma from benign cervical lymphadenopathies. The novel NLR/LMR ratio demonstrated superior diagnostic performance (AUC = 0.71, OR = 4.6) compared with conventional indices.
Servet Erdemes   +3 more
wiley   +1 more source

The needle study: Machine learning as a new method for case‐finding in celiac disease

open access: yesJournal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato   +9 more
wiley   +1 more source

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