Results 181 to 190 of about 1,781,086 (356)
Causes for Medical Errors in Obstetrics and Gynaecology. [PDF]
Klemann D+4 more
europepmc +1 more source
Patch‐clamp recordings revealed that tamoxifen inhibits voltage‐gated sodium channels, especially under acidic conditions, both common in metastatic cancer cells. These effects may explain certain antitumor properties of tamoxifen, highlighting a novel mechanism of action beyond its known endocrine effects.
Karl Josef Föhr+5 more
wiley +1 more source
Pharmacist participation in medical rounds reduces medication errors [PDF]
Kimberly K. Scarsi+2 more
openalex +1 more source
Spinal Cord Abnormalities in Early Pediatric Multiple Sclerosis
ABSTRACT Spinal cord lesions and atrophy in the cervical region are common in adult multiple sclerosis (MS) and correlate with disability. Whether similar abnormalities occur in pediatric MS patients is largely unknown. Clinical and MRI evaluations were performed in 38 pediatric MS patients and 13 healthy controls (HC).
Monica Margoni+7 more
wiley +1 more source
Partially Identifying the Prevalence of Health Insurance Given Contaminated Sampling Response Error [PDF]
This paper derives simple closed-form identification regions for the U.S. nonelderly population's prevalence of health insurance coverage in the presence of household reporting errors.
Kreider, Brent
core
Medical Error: Is the Solution Medical or Cognitive? [PDF]
Jiaming Zhang
openalex +1 more source
Assessment of medical errors awareness among nursing students during their clinical internship: Palestinian perspectives. [PDF]
Salameh B+9 more
europepmc +1 more source
CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline
ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration ...
Jon Rodriguez‐Antiguedad+7 more
wiley +1 more source
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source