Background: Head and neck cancer (HNC) and its treatment can affect communication, nutrition, and physical appearance, and the global impact of this disease on patients' quality of life may be substantial.

Objective: The aim of this systematic literature review was to describe the impact of HNC and its treatment on the physical, emotional, and social well-being of patients over time, by examining longitudinal studies of patient-reported outcomes (PRO) evaluating these domains.

Methods: Databases (MEDLINE and Embase) were searched to identify studies published in English between January 2004 and January 2014 analyzing the humanistic aspects of HNC in adult patients. Additional relevant publications were identified through manual searches of abstracts from recent conference proceedings.

Results: Of 1,566 studies initially identified, 130 met the inclusion criteria and were evaluated in the assessment. Investigations using a variety of PRO instruments in heterogeneous patient populations consistently reported that PRO scores decrease significantly from diagnosis through the treatment period, but generally recover to baseline in the first year post-treatment. This trend was observed for many functional domains, although some side effects, such as xerostomia, persisted well beyond 1 year. In addition, considerable evidence exists that baseline PRO scores can predict clinical endpoints such as overall and progression-free survival.

Conclusions: Many aspects of HNC, both disease and treatment specific, profoundly affect patients' quality of life. Improved knowledge of these effects on PRO may allow for more informed treatment decisions and can help physicians to better prepare patients for changes they may experience during therapy. Furthermore, the predictive value of baseline PRO data may enable healthcare providers to identify at-risk patients in need of more intensive intervention.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s40273-014-0199-xDOI Listing

Publication Analysis

Top Keywords

head neck
8
neck cancer
8
systematic literature
8
literature review
8
hnc treatment
8
patients' quality
8
quality life
8
aspects hnc
8
pro scores
8
baseline pro
8

Similar Publications

Background: BERIL-1 was a randomized phase 2 study that studied paclitaxel with either buparlisib, a pan-class I PIK3 inhibitor, or placebo in patients with recurrent or metastatic (R/M) head and neck squamous cell cancer (HNSCC). Considering the therapeutic paradigm shift with immune checkpoint inhibitors (ICIs) now approved in the first-line setting, we present an updated immunogenomic analysis of patients enrolled in BERIL-1, including patients with immune-infiltrated tumors.

Objective: The objective of this study was to identify biomarkers predictive of treatment efficacy in the context of the post-ICI therapeutic landscape.

View Article and Find Full Text PDF

Supraglottoplasty outcomes and peri-operative care in congenital laryngomalacia.

Eur Arch Otorhinolaryngol

January 2025

Department of Otolaryngology, Robert Debre Hospital, Assistance Publique Hôpitaux de Paris (APHP) and Paris University, 48, Boulevard Sérurier, 75019, Paris, France.

Objectives: This study aimed to identify factors predicting postoperative ICU admission, the need for orotracheal intubation (OTI), and the occurrence of supraglottic stenosis in children undergoing supraglottoplasty for laryngomalacia.

Methods: A retrospective analysis was conducted on 31 children (Dear Reviewer, we would have greatly preferred to include a larger sample size. However, as you know, this type of management is rare, and we deliberately selected a 7-year period to ensure a minimum of 30 children while avoiding significant differences in management guidelines over time.

View Article and Find Full Text PDF

Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Support Care Cancer

January 2025

Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.

Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.

View Article and Find Full Text PDF

Introduction: Computed tomography (CT) angiography is commonly utilized to quickly identify vascular injuries caused by blunt cervical trauma. It is often conducted alongside a cervical spine CT, based on established criteria. This study assessed the prevalence of cervical vascular injuries identified via CT angiography (CTA) in patients who had negative findings on cervical CT scans.

View Article and Find Full Text PDF

Background: Otitis media with effusion (OME) is associated with comorbidities such as allergic rhinitis, gastroesophageal reflux disease, asthma, and more. Many of these comorbidities can be caused by type 2 inflammation (T2I). This study aims to determine the risk of undergoing OME surgery in patients with and without T2I disease.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!