相关实验视频

Updated: Jan 16, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

646

多发性骨髓瘤患者的生活质量的预测因素:一个多中心的横截面研究

Nizar Abu Hamdeh1,2, Mohammad Alnees3,4,5,6, Osama Ewidat1,2

  • 1Palestinian Clinical Research Center, Bethlehem, Palestine.

BMC cancer
|October 1, 2025
PubMed
概括

多发性骨髓瘤患者由于疼痛和胀等症状,生活质量 (QoL) 受到损害. 解决这些症状和并发症对于支持性护理至关重要,特别是在资源有限的环境中.

关键词:
伴随性疾病 伴随性疾病EORTC QLQ-MY2020 QLQ-MY20-MY20 EORTC QLQ-MY20 QLQ-MY20 EORTC QLQ-MY20 QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20 EORTC QLQ-MY20多发性骨髓瘤是一种多发性骨髓瘤.巴勒斯坦 巴勒斯坦 巴勒斯坦 巴勒斯坦患者报告的结果生活质量生活的质量.

更多相关视频

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells09:41

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells

Published on: July 15, 2015

9.1K

相关概念视频

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
648
Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
5.1K
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
144
Bioavailability Study Design: Single Versus Multiple Dose Studies01:11

Bioavailability Study Design: Single Versus Multiple Dose Studies

Bioavailability studies are essential for understanding how a drug is absorbed, distributed, metabolized, and excreted in the body. These studies assess the extent and rate at which the active pharmaceutical agent becomes available at the site of action. The design of bioavailability studies can involve single-dose or multiple-dose regimens, each with distinct advantages and limitations.Single-dose studies are the preferred approach due to their simplicity and reduced drug exposure for...
210
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
561
Factors Affecting Protein-Drug Binding: Patient-Related Factors01:29

Factors Affecting Protein-Drug Binding: Patient-Related Factors

Protein-drug binding, a pivotal aspect of pharmacokinetics, is subject to considerable variability influenced by an array of patient-related factors. The intricate interplay of age, individual differences, and pathological conditions significantly impact the binding dynamics and subsequent pharmacological effects.
Age stands as a key determinant in protein-drug binding. Neonates, characterized by low albumin content, experience heightened concentrations of unbound drugs such as phenytoin and...
305