Skip to main content
American Journal of Translational Research logoLink to American Journal of Translational Research
. 2024 Dec 15;16(12):7937–7947. doi: 10.62347/CBKG3767

Effect of group management on disease cognition and fear of disease progression, nutritional status, and quality of life in patients with head and neck tumors

Li Li 1, Yongling Liu 1, Xiuya Li 1, Yiran He 1, Zirong Tian 2
PMCID: PMC11733339  PMID: 39822501

Abstract

Objective: To investigate the effect of group guided training management on disease cognition and fear of disease progression, nutritional status, and quality of life in patients undergoing chemotherapy for head and neck tumors. Methods: A total of 88 patients diagnosed with malignant head and neck tumors who were admitted to Beijing Tongren Hospital, Capital Medical University from January 2020 to February 2021 were included as the subjects of this study. Patients receiving standard care were set as the control group (n=43), and patients undergoing group education were set as the study group (n=45). The fear of disease progression, level of hope, nutritional status, knowledge, attitude, behaviors, quality of life, self-management efficacy, and adverse reactions were compared between the two groups. Factors affecting patient’s prognosis were also analyzed. Results: Group guided management for chemotherapy patients with head and neck tumors significantly reduced the fear of disease progression in the study group compared to the control group (P=0.010). Additionally, the study group showed significantly higher levels of hope (P=0.006), nutritional status (P=0.019), nutritional knowledge (P=0.006), positive attitude (P=0.007), and health behavior (P=0.032) than those in the control group. The incidence of malnutrition at 1 month and 3 months after intervention (P=0.005, P=0.009) and adverse reactions (P=0.001) in the study group were significantly lower than those in control group. Furthermore, the quality of life (P=0.011) and self-management efficacy (P=0.008, P=0.019) in the study group were significantly higher than those in the control group. Nursing interventions and self-efficacy were identified as independent risk factors for fear of disease progression and hope level (all P < 0.05). Conclusion: A group management model, through specialized health education and guidance, can significantly reduce patient’s fear of disease progression, alleviate negative emotions, enhance their self-management ability, and improve quality of life. This approach fosters a proactive attitude toward treatment and contributes to better therapeutic outcomes.

Keywords: Group management, head and neck tumors, nutrition, quality of life

Introduction

Systemic chemotherapy in conjunction with localized radiotherapy serves as the first-line treatment for head and neck tumors [1-3]. While chemotherapeutic agents significantly inhibit tumor growth, the inherent heterogeneity of these tumors lead to considerable variability in both treatment response and prognosis among patients. As chemotherapy continues, patients are prone to bone marrow suppression, weakened immune function, impaired liver and kidney functions, and gastrointestinal damage, and malnutrition, among other adverse effects [4,5], seriously hindering the continuation of chemotherapy and even posing a life-threatening risk to patients [6,7]. Thus, maintaining or improving the nutritional status of patients undergoing chemotherapy or chemoradiotherapy is of paramount importance, as it is closely associated with improved prognosis [8].

The recurrent nature of head and neck tumors contributes to significant psychological burden on patients, with some experiencing relapse following an initial remission [8-10]. In a postoperative follow-up study of 120 survivors of head and neck tumors, Zhang et al. found that anxiety, depression, and impaired social functioning were common in patients after surgery, and that active psychological interventions significantly enhanced patients’ quality of life, as well as their hope levels, optimism, and alleviated depression and anxiety [11]. Research demonstrated that more severe negative psychological states such as anxiety, depression, and fear, could increase the likelihood of adverse reactions during chemoradiotherapy in cancer patients, and further follow-up revealed that higher incidence of adverse reactions, such as vomiting, corresponded to elevated rates of malnutrition [12,13]. Thus, addressing psychological distress is crucial for improving the nutritional status of cancer patients. Enhancing patient adherence to treatment through scientific and reasonable management, reducing chemotherapy-related adverse reactions, alleviating the fear of disease progression, and improving overall quality of life are essential for the treatment of patients with head and neck tumors.

The group management model is an innovative disease management approach that integrates diagnosis, management, group health education, and individualized treatment. This model has been widely applied in the management of chronic non-communicable diseases, particularly conditions such as hypertension and diabetes. A study on breast cancer patients demonstrated that the group management enhances patients’ exercise compliance [14], which plays a crucial role in improving their quality of life. Both domestic and international research mainly explores group management in the context of chronic non-communicable diseases, yielding commendable outcomes [15]. Research has indicated that group management can reduce glycated protein levels, lower blood pressure in diabetic patients, foster healthy lifestyle habits among patients, enhance their self-management abilities [16], and is beneficial to aerobic capacity and muscle strength in rheumatoid arthritis patients. Moreover, it alleviates pain symptoms and minimizes analgesic usage in chronic pain patients, aids in weight control for obese individuals, reduces heart rate and blood pressure, and elevates high-density lipoprotein and cholesterol levels. Group education and support training for disease management, as an adjunct to pharmacotherapy, significantly improves patients’ awareness of their condition, compliance with relevant tests, and the adoption of healthier lifestyle habits. However, the application of a group management model in patients with head and neck tumors has not yet been reported. In this study, we employed the group management model for patients with head and neck tumors to assess its impact on their disease cognition, fear of disease progression, changes in nutritional status after intervention, and its impact on the overall quality of life in these patients.

Materials and methods

Study design

Current conventional nursing models for patients with head and neck tumors often fail to adequately address critical issues such as patient malnutrition and psychological well-being. Therefore, in this retrospective analysis, we compared the rehabilitation indicators, malnutrition rates, complication rates, and other relevant outcomes between patients who received group management and those who received routine care.

Baseline data

A total of 88 patients with malignant head and neck tumors admitted to Beijing Tongren Hospital, Capital Medical University from January 2020 to February 2021 were retrospectively selected and divided into two groups based on their ward area. Patients receiving standard care were set as the control group, and patients undergoing group management were set as the study group.

Inclusion criteria: ① Patients who met the clinical diagnostic criteria for malignant head and neck tumors as defined by the World Health Organization [17]; ② Patients aged 18-70 years; ③ Patients who underwent chemotherapy; ④ Patients with no intellectual disability, capable of completing various tests under the guidance of researchers.

Exclusion criteria: ① Patients with serious complications; ② Patients with severe mental illness or cognitive dysfunction; ③ Patients with other respiratory, cardiovascular, or cerebrovascular diseases.

Ethical statement

This study was approved by the Ethics Committee of Beijing Tongren Hospital, Capital Medical University.

Intervention method

Patients in the control group received standard care under the supervision of attending physician and nurse. The physician provided appropriate treatment according to the patient’s condition, while the nurse delivered basic care, including routine health education, nutritional guidance, and preventive measures for potential complications. Additionally, a health education manual was provided to each patient prior to discharge.

Patients in the study group were given group management.

1. Construction of a professional team: The group management team was composed of an attending physician, a dietitian, and three nurses. Following an extensive review of relevant literature [13,18], a group management plan was formulated. The attending physician was responsible for establishing the patient’s treatment protocol and promptly addressing any complications that arose throughout the treatment. The nurses coordinated patient care and implemented nursing interventions, while the dietitian provided health education, focusing on nutritional guidance.

2. In-hospital management: Patients participated in scheduled group sessions every Wednesday afternoon, each lasting 60 minutes. Each patient participated in a minimum of three group sessions, with each group comprising no fewer than five members. (1) Warm-up communication (10 minutes): The group management team and patients introduced themselves separately. Patients briefly introduced their treatment experience, allowing them to feel supported. Through communication, patients could enhance mutual understanding and lay a good foundation for health education. (2) Health education (30 minutes): Using videos, physical models, and other visual aids, patients were educated on their diseases and nutrition. The session began with an inquiry about their dietary habits, including meal frequency, portion sizes, and any post-meal discomfort. Patients were instructed to reduce the consumption of pickled and smoked foods, increase their consumption of fruits and vegetables, engage in regular exercise, and to quit smoking and avoid alcohol. Patients were encouraged to maintain a dietary journal to track changes in food intake and body weight. To ensure the effectiveness of education, each session focused on a single theme, such as nutritional guidance, development of healthy eating habits, and lifestyle adjustment. Following each session, patients were provided with a brochure for reference and reinforcement of the material. (3) Question-and-answer session (10 minutes): Based on the information provided in the educational materials and their personal experiences, the patients were encouraged to raise questions based on their daily lives, and the group managers addressed these inquiries promptly. (4) Experience sharing (10 minutes): Patients exchanged their personal experience, and those with favorable prognoses were invited to share their insights and strategies during the rehabilitation process, encouraging others to follow their example.

3. Out-of-hospital management: A WeChat group was established to facilitate communication among patients, with the condition that discussions should focus solely on medical issues. Each week, group administrators posted rehabilitation advice, tips for preventing complications, and updates on new medications, ensuring that patients remained informed about the latest treatment advancements and bolstering their confidence in recovery. Throughout the treatment process, patients were encouraged to seek clarification on any challenges they encountered, with administrators providing guidance to help maintain a positive outlook. Additionally, a monthly Q&A session was also held, during which exemplary participants were recognized and rewarded, through public praise or invitations to share their experiences, thereby encouraging extensive patient engagement and improving adherence to treatment protocols.

Outcome measurements

The following indicators were assessed at four time points: before intervention (T0), immediately after intervention (T1), 1 month after intervention (T2), and 3 months after intervention (T3) in the two groups.

Fear of disease progression

Patients’ fear of disease progression was evaluated using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF). The FOP-Q-SF shows high internal consistency (Crohnbach’s α=0.87) and uses a 5-point Linkert scale, where 1 point indicates “none” and 5 points indicate “always”. A score greater than 34 points suggests psychological dysfunction, with higher scores indicating greater fear of disease progression [18].

Level of hope

The level of hope in patients was assessed using the Herth Hope Index (HHI), which measures various dimensions of hope using a 4-point Likert scale, ranging from 1 (strongly disagree) to 4 (strongly agree), with items #3 and #6 being reverse-coded. A score of < 23 points indicates a low level of hope, a score of 24-35 points reflects a moderate level of hope, and a score of > 36 points signifies a high level of hope [19].

Nutritional status

Nutritional status of the patients was evaluated using Patient-Generated Subjective Global Assessment (PG-SGA). The PG-SGA includes a patient-generated historical component (Weight History, Food Intake, Symptoms and Activities and Function), a professional part (Diagnosis, Age, Metabolic stress, and Physical Exam), and a Global Assessment (A = well-nourished, B = moderately malnourished or suspected malnutrition, C = severely malnourished), the total numerical score, and nutritional triage recommendations. Subsequently, the scored PG-SGA allows for triaging of specific nutrition interventions, as well as facilitating quantitative outcomes data collection. The total PG-SGA score is calculated by summing components a, b, c, and d, with higher scores indicating worse nutritional status of the patient [20].

Based on the patient’s weight, nutritional intake, symptoms and signs: 0-1 point indicates good nutrition, 2-8 represent suspected or moderate malnutrition, ≥ 9 represent severe malnutrition. When malnutrition is present, nutritional supplementation is necessary to improve symptoms [21].

Nutritional knowledge, attitudes, and behavioral levels

The level of nutritional knowledge, attitudes, and behaviors of the patients was evaluated using the self-developed questionnaire for patients with head and neck tumors. The questionnaire involved three dimensions, including nutritional knowledge, attitude, and behavior, with a total of 30 items. The nutritional knowledge dimension contained 17 items, with 1 point for each correct answer, yielding a maximum score of 17 points; the attitude dimension comprised 5 items on 5-Point Likert Scale (0 points for strongly disagree, 4 points for strongly agree), with a total score of 20 points; the behavior dimension included 5 items of positive scoring and 3 negative scoring items, with a total score of 32 points. Patients were scored before intervention and 3 months after intervention. Higher scores indicated a better level of nutritional knowledge, attitudes, and behaviors.

Quality of life

The quality of life was evaluated using the European Organization for Research and Treatment of Cancer Core Quality of Life questionnaire (EORTC QLQ-C30). This questionnaire includes five functional scales (physical, role, affective, cognitive, and social), three symptom scales (fatigue, pain, nausea, and vomiting), and one general health scale [22]. Higher scores indicated better quality of life.

Self-management efficacy

The Strategies Used by People to Promote Health (SUPPH) scale was used to evaluate the patients’ self-management efficacy. The scale includes a total of 29 items, which are self-evaluated by patients according to their condition on 5-point Likert scale, with 1 point representing no confidence and 5 points representing highly confident [23]. Higher scores indicated better self-management efficacy.

Adverse reactions

Adverse reactions were evaluated in patients undergoing chemotherapy. A lower incidence of adverse reactions suggested that the interventions helped reduce the adverse effects of chemotherapy, thereby enhancing treatment compliance and improving the quality of life.

Statistical methods

Statistical Package for the Social Sciences (SPSS) 22.0 (IBM Corp., Armonk, NY, USA) was used for statistical analysis, and Graphpad Prism 8 (GraphPad Software, Boston, MA, USA) was used for graphing. Enumeration data were represented by [n (%)] and analyzed using χ2 test. Measurement data, such as age and FoP-Q-SF score, were tested for normality and were represented by mean ± standard deviation (SD). Inter-group comparisons at the same time point were performed using t-tests, while repeated measures analysis of variance was used for intra-group comparisons before and after the intervention. Multivariate logistic regression analysis was used to identify prognostic factors. P < 0.05 indicated a statistically significant difference.

Results

Comparison of baseline data between the two groups

There was no significant difference in the baseline data such as gender, age, course of disease, education level, and disease staging between the two groups (all P > 0.05, Table 1), indicating that the groups were comparable.

Table 1.

Comparison of baseline data between the two groups [(mean ± SD)/(n)]

Baseline data Control group (n=43) Study group (n=45) F/χ2 P
Gender Male 22 25 0.171 0.680
Female 21 20
Average age (years) 44.12±13.18 45.83±14.75 0.573 0.568
Disease duration (years) 3.52±1.03 3.67±1.17 0.526 0.637
Education level Junior high school and below 15 19 0.759 0.684
High school, secondary school 11 12
College and above 17 14
Staging Phase I 10 16 1.932 0.587
Phase II 15 12
Phase III 12 10
Stage IV 6 7

SD: standard deviation.

Comparison of fear of progression and level of hope between the two groups

After intervention, the total FoP-Q-SF scores for both groups were lower than those before intervention (all P < 0.05). After intervention, the total FoP-Q-SF scores in the study group were significantly lower than those in the control group at various time points (all P < 0.05) (Figure 1A).

Figure 1.

Figure 1

Comparison of fear of disease progression (A) and level of hope (B) between the two groups. *P < 0.05 between the two groups, #P < 0.05, compared with before intervention. FoP-Q-SF: Fear of Progression Questionnaire-Short Form; HHI: Herth Hope Index; T0: before intervention; T1: immediately after intervention; T2: 1 month after intervention; T3: 3 months after intervention.

After intervention, the HHI hope scores for both groups were significantly higher than those before intervention (all P < 0.05). Moreover, the HHI scores in the study group were all significantly higher than those in the control group at various time points (all P < 0.05) (Figure 1B).

Comparison of nutritional status between the two groups

After intervention, the total PG-SGA scores at various time points of the two groups were all lower than those before intervention (all P < 0.05). Additionally, the total PG-SGA scores in the study group were all significantly lower than those in the control group at various time points (all P < 0.05) (Figure 2A).

Figure 2.

Figure 2

Comparison of nutritional status (A) and malnutrition rates (B) between the two groups. *P < 0.05 between the two groups, #P < 0.05, compare with before intervention. PG-SGA: Patient-Generated Subjective Global Assessment; T0: before intervention; T1: immediately after intervention; T2: 1 month after intervention; T3: 3 months after intervention.

After intervention, the number of patients with malnutrition in the study group at T1 was fewer than that in the control group; however, the difference was not obvious. With the extension of the intervention, at T2 and T3, the incidence of malnutrition in the study group was significantly lower than that in the control group (all P < 0.05) (Figure 2B).

Comparison of nutritional knowledge, attitudes, and behavior between the two groups

After intervention, the scores of nutrition knowledge (Figure 3A), attitude (Figure 3B), and behavior (Figure 3C) as well as the total score (Figure 3D) in the two groups were significantly improved compared with before intervention (all P < 0.05). Furthermore, these scores of the study group were all significantly higher than those of the control group (all P < 0.05).

Figure 3.

Figure 3

Comparison of knowledge (A), attitude (B), behavior (C) and total score (D) between the two groups. *P < 0.05 between the two groups, #P < 0.05, compared with before intervention. T0: before intervention; T3: 3 months after intervention.

Comparison of quality of life between the two groups

After intervention, the scores of the function (Figure 4A), symptoms (Figure 4B), and overall health (Figure 4C) in both groups were elevated compared with before intervention. Specifically, at T2 and T3, these scores in the study group were significantly higher than those in the control group (all P < 0.05) and were significantly higher from those before intervention (all P < 0.05).

Figure 4.

Figure 4

Comparison of quality of life between the two groups. A: Function; B: Symptoms; C: General health. *P < 0.05 between the two groups, #P < 0.05, compared with before intervention. T0: before intervention; T1: immediately after intervention; T2: 1 month after intervention; T3: 3 months after intervention.

Comparison of self-management efficacy between the two groups

After intervention, both groups showed increases in positive attitude scores (Figure 5A), self-decision scores (Figure 5B), self-decompression scores (Figure 5C), and total self-management efficacy (Figure 5D) compared with before intervention; however, the increase in positive attitude (Figure 5A) and self-decision (Figure 5B) scores in the control group were not significant.

Figure 5.

Figure 5

Comparison of self-management efficacy between the two groups. A: Positive attitude; B: Self-decision; C: Self-decompression; D: Self-management efficacy. *P < 0.05 between the two groups; #P < 0.05, compared with before intervention. T0: before intervention; T1: immediately after intervention; T2: 1 month after intervention; T3: 3 months after intervention.

At T2 and T3, the positive attitude scores in the study group were significantly higher than those in the control group (all P < 0.05). At T1, T2, and T3, the study group showed significantly higher scores in self-decision, self-decompression, and the total score of self-management efficacy compared to those in the control group (all P < 0.05) (Figure 5).

Comparison of adverse reactions between the two groups

The incidence of adverse reactions during intervention was 40% in the study group, significantly lower than 74.42% in the control group (P=0.001) (Table 2).

Table 2.

Comparison of adverse reactions between the two groups (n, %)

Group n Nausea and vomiting Weakness Rash Alopecia Myelosuppression Total number of cases
Study group 45 5 (11.11%) 2 (4.44%) 2 (4.44%) 3 (6.67%) 6 (13.33%) 18 (40%)
Control group 43 8 (18.63%) 6 (13.95%) 3 (6.98%) 5 (11.63%) 10 (23.26%) 32 (74.42%)
χ2 - - - - 10.617
P - - - - 0.001

Analysis of factors affecting the prognosis of patients in two groups

The primary outcomes of this study were patients’ fear of disease progression and their level of hope. A multivariate logistic regression analysis was conducted, with fear of disease progression and level of hope as dependent variables, and nursing interventions, sex, age, education level, disease duration, disease stage, nutritional status, and self-efficacy as independent variables. The results indicated that both nursing interventions and self-efficacy were independent risk factors for fear of disease progression and level of hope in patients (all P < 0.05) (Table 3).

Table 3.

Independent prognostic factors for patients with head and neck tumors

Dependent variable Risk factor B S.E Wald P OR 95% CI
Fear of disease progression Nursing interventions 1.359 0.6659 4.265 0.035 3.985 1.065-14.215
Self-efficacy -0.526 0.625 6.326 0.041 0.821 0.519-1.986
Level of hope Nursing interventions 1.885 0.856 4.871 0.026 6.401 1.212-30.265
Self-efficacy -0.213 0.456 0.281 0.049 0.811 0.336-1.819

B: coefficient; S.E: standard error; Wald: Wald Chi-Square Statistic; P: probability; OR: odds ratio; 95% CI: 95% confidence interval.

Discussion

Chemotherapy remains the primary treatment modality for patients with head and neck tumors. While effective in eradicating cancer cells, chemotherapy also affects healthy cells, leading to side effects such as nausea, vomiting, loss of appetite, and malnutrition, among others. These adverse effects compromise patients’ ability to absorb adequate nutrients, impairing organ function and weakening the immune system, and ultimately impacting the treatment efficacy [24].

The concept of group management emerged in the 1970s as an innovative model for disease management model, and it offers systematic patient management, combining treatment, behavioral guidance, and health education [25]. Unlike traditional one-to-one care, this model primarily fosters interaction between medical teams and patient groups to foster patients’ beneficial habits and improve self-management ability and quality of life. It represents a commendable health management approach deserving wider implementation within the community [26]. Currently, there is a scarcity of research on the group management model among patients with head and neck tumors. This study aims to investigate the effectiveness of a group management model in improving nutritional status, quality of life, and disease progression control in these patients, thereby providing valuable insights for enhancing their quality of life.

The results of this study indicate that, compared to the control group, those in the study group undergoing group management exhibited significantly lower FoP-Q-SF and PG-SGA scores and markedly higher HHI scores. Follow-up evaluations further revealed better nutritional status in the study group compared to the control group. Furthermore, patients in the study group demonstrated enhanced health knowledge. These findings suggest that the group management model contributes to improving the nutritional status of patients with head and neck tumors, enhancing their quality of life and health knowledge acquisition, which undoubtedly aids in the rehabilitation process. A study on head and neck cancer patients confirmed the impact of emotional states on patient outcomes, revealing poor quality of life among patients, with significant gender-based differences in quality of life scores after radiochemotherapy interventions [27]. This disparity may be related to thinking differences between men and women, as well as the varying levels of health knowledge among patients of different genders, which may impact the recovery process.

At T2 and T3, the self-management scores across all scales in the study group were significantly higher than those in the control group and were significantly improved compared to baseline values. At T2 and T3, the positive attitude scores in the study group were significantly higher than those in the control group. Additionally, at T1, T2, and T3, the study group exhibited significantly higher scores in self-decision, self-decompression, and the total self-management efficacy score compared to those in the control group. Moreover, the incidence of adverse reactions in the study group was significantly lower than that in control group. Head and neck tumors are characterized by disease progression and significant treatment challenges. Traditional nursing models often involve singular care approaches typically led by nursing staff. Even in multidisciplinary synergistic nursing, the patients may experience confusion, leading to difficulties in receiving comprehensive and holistic care during treatment. A study on head and neck cancer patients [28] indicated that proper nursing measures enhance patient treatment adherence, thereby laying a solid foundation for their compliance with medical instructions, which is consistent with the findings of this study. The findings of this study support that the group management model ensures continuous nursing for patients through group interventions. This approach not only optimizes the efficient use of medical resources but also provides psychosocial support during treatment. Patients benefit from the encouragement and support of medical staff, family, friends, and fellow patients, which plays a significant role in enhancing treatment adherence and accelerating recovery.

In conclusion, group management enhances health education through collaboration between medical and nursing teams, thereby enhancing patients’ cognition of disease and nutrition, improving their nutritional status, eliminating the fear of disease, and fostering confidence in overcoming disease. This model also enhances self-management abilities, reduces the incidence of side effects such as malnutrition, nausea and vomiting, improves treatment outcomes, and ultimately enhances their quality of life. The innovation of this study lies in its pioneering application of group management in the adjuvant treatment of patients with head and neck tumors, using quantitative indicators to evaluate its effectiveness. The comprehensive data provide valuable references and offer more options for improving the prognosis of these patients.

Some limitations in this investigation still exist. Physiological and biochemical indicators were minimally assessed, with most data derived from questionnaire results. Additionally, this study was conducted in a single center with a relatively small sample size, which may limit the generalizability of the findings. Future research will focus on a more comprehensive analysis of patients’ physical and biochemical indicators, and a multi-center, large-sample, prospective study will be conducted to develop more accurate and detailed intervention strategies for improving the nutritional status and quality of life of patients with head and neck tumors during chemotherapy.

Disclosure of conflict of interest

None.

References

  • 1.Ruffin AT, Li H, Vujanovic L, Zandberg DP, Ferris RL, Bruno TC. Improving head and neck cancer therapies by immunomodulation of the tumour microenvironment. Nat Rev Cancer. 2023;23:173–188. doi: 10.1038/s41568-022-00531-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Zhong NN, Wang HQ, Huang XY, Li ZZ, Cao LM, Huo FY, Liu B, Bu LL. Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives. Semin Cancer Biol. 2023;95:52–74. doi: 10.1016/j.semcancer.2023.07.002. [DOI] [PubMed] [Google Scholar]
  • 3.Oreiller V, Andrearczyk V, Jreige M, Boughdad S, Elhalawani H, Castelli J, Vallières M, Zhu S, Xie J, Peng Y, Iantsen A, Hatt M, Yuan Y, Ma J, Yang X, Rao C, Pai S, Ghimire K, Feng X, Naser MA, Fuller CD, Yousefirizi F, Rahmim A, Chen H, Wang L, Prior JO, Depeursinge A. Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Med Image Anal. 2022;77:102336. doi: 10.1016/j.media.2021.102336. [DOI] [PubMed] [Google Scholar]
  • 4.Raj S, Kesari KK, Kumar A, Rathi B, Sharma A, Gupta PK, Jha SK, Jha NK, Slama P, Roychoudhury S, Kumar D. Molecular mechanism(s) of regulation(s) of c-MET/HGF signaling in head and neck cancer. Mol Cancer. 2022;21:31. doi: 10.1186/s12943-022-01503-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Ting CY, Liew SM, Price A, Gan GG, Bee-Lan Ong D, Tan SY, Bee PC. Clinical significance of aberrant microRNAs expression in predicting disease relapse/refractoriness to treatment in diffuse large B-cell lymphoma: a meta-analysis. Crit Rev Oncol Hematol. 2019;144:102818. doi: 10.1016/j.critrevonc.2019.102818. [DOI] [PubMed] [Google Scholar]
  • 6.Tang X, Li R, Wu D, Wang Y, Zhao F, Lv R, Wen X. Development and validation of an ADME-related gene signature for survival, treatment outcome and immune cell infiltration in head and neck squamous cell carcinoma. Front Immunol. 2022;13:905635. doi: 10.3389/fimmu.2022.905635. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hong Q, Ding S, Xing C, Mu Z. Advances in tumor immune microenvironment of head and neck squamous cell carcinoma: a review of literature. Medicine (Baltimore) 2024;103:e37387. doi: 10.1097/MD.0000000000037387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Raudenska M, Balvan J, Hanelova K, Bugajova M, Masarik M. Cancer-associated fibroblasts: mediators of head and neck tumor microenvironment remodeling. Biochim Biophys Acta Rev Cancer. 2023;1878:188940. doi: 10.1016/j.bbcan.2023.188940. [DOI] [PubMed] [Google Scholar]
  • 9.Runge A, Mayr M, Schwaiger T, Sprung S, Chetta P, Gottfried T, Dudas J, Greier MC, Glatz MC, Haybaeck J, Elbers K, Riechelmann H, Erlmann P, Petersson M. Patient-derived head and neck tumor slice cultures: a versatile tool to study oncolytic virus action. Sci Rep. 2022;12:15334. doi: 10.1038/s41598-022-19555-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Ahmadinejad F, Bos T, Hu B, Britt E, Koblinski J, Souers AJ, Leverson JD, Faber AC, Gewirtz DA, Harada H. Senolytic-mediated elimination of head and neck tumor cells induced into senescence by cisplatin. Mol Pharmacol. 2022;101:168–180. doi: 10.1124/molpharm.121.000354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Zhang Z, Leong Bin Abdullah MFI, Shari NI, Lu P. Acceptance and commitment therapy versus mindfulness-based stress reduction for newly diagnosed head and neck cancer patients: a randomized controlled trial assessing efficacy for positive psychology, depression, anxiety, and quality of life. PLoS One. 2022;17:e0267887. doi: 10.1371/journal.pone.0267887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wedekind H, Walz K, Buchbender M, Rieckmann T, Strasser E, Grottker F, Fietkau R, Frey B, Gaipl US, Rückert M. Head and neck tumor cells treated with hypofractionated irradiation die via apoptosis and are better taken up by M1-like macrophages. Strahlenther Onkol. 2022;198:171–182. doi: 10.1007/s00066-021-01856-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Pandruvada S, Kessler R, Thai A. Head and neck cancer treatment in the era of molecular medicine. Adv Cancer Res. 2023;160:205–252. doi: 10.1016/bs.acr.2023.03.004. [DOI] [PubMed] [Google Scholar]
  • 14.Lee WS, Arai K, Alex G, Treepongkaruna S, Kim KM, Choong CL, Mercado KC, Darma A, Srivastava A, Aw MM. Management and monitoring of pediatric inflammatory bowel disease in the Asia-Pacific region: a position paper by the Asian Pan-Pacific Society for Pediatric Gastroenterology, Hepatology, and Nutrition (APPSPGHAN) PIBD Working Group: surgical management, disease monitoring, and special considerations. J Gastroenterol Hepatol. 2023;38:510–522. doi: 10.1111/jgh.16084. [DOI] [PubMed] [Google Scholar]
  • 15.Hewitt L, Dadich A, Hartz DL, Dahlen HG. Midwife-centred management: a qualitative study of midwifery group practice management and leadership in Australia. BMC Health Serv Res. 2022;22:1203. doi: 10.1186/s12913-022-08532-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Cunningham AT, Delgado DJ, Jackson JD, Crawford AG, Jabbour S, Lieberthal RD, Diaz V, LaNoue M. Evaluation of an ongoing diabetes group medical visit in a family medicine practice. J Am Board Fam Med. 2018;31:279–281. doi: 10.3122/jabfm.2018.02.170373. [DOI] [PubMed] [Google Scholar]
  • 17.Warren D, Koch C, Parsons MS, Pérez-Carrillo GJG, Eldaya RW. Head and neck sarcoma tumor board survival guide for neuroradiologists: imaging findings, history, and pathology. Curr Probl Diagn Radiol. 2023;52:275–288. doi: 10.1067/j.cpradiol.2023.01.006. [DOI] [PubMed] [Google Scholar]
  • 18.Silva S, Bártolo A, Santos IM, Paiva D, Monteiro S. Validation of the portuguese version of the fear of progression questionnaire-short form (FoP-Q-SF) in portuguese cancer survivors. Healthcare (Basel) 2022;10:2466. doi: 10.3390/healthcare10122466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Liu Q, Yuen JW, Ho KY, Lam KK, Lam W, Cheng H, Yang DL, Ching SS, Wong FK. Psychometric evaluation of the Chinese version of the herth hope index (HHI) in Chinese children with cancer. Sci Rep. 2023;13:6805. doi: 10.1038/s41598-023-33838-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Zhou L, Fu J, Ding Z, Jin K, Wu R, Ye LX. Comparison of GLIM, SGA, PG-SGA, and PNI in diagnosing malnutrition among hepatobiliary-pancreatic surgery patients. Front Nutr. 2023;10:1116243. doi: 10.3389/fnut.2023.1116243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ottery FD. Definition of standardized nutritional assessment and interventional pathways in oncology. Nutrition. 1996;12:S15–19. doi: 10.1016/0899-9007(96)90011-8. [DOI] [PubMed] [Google Scholar]
  • 22.Choueiri TK, Tomczak P, Park SH, Venugopal B, Symeonides S, Hajek J, Ferguson T, Chang YH, Lee JL, Haas N, Sawrycki P, Sarwar N, Gross-Goupil M, Thiery-Vuillemin A, Mahave M, Kimura G, Perini RF, Saretsky TL, Bhattacharya R, Xu L, Powles T. Patient-reported outcomes in KEYNOTE-564: adjuvant pembrolizumab versus placebo for renal cell carcinoma. Oncologist. 2024;29:142–150. doi: 10.1093/oncolo/oyad231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Lin C, Zhang F, Yang F, Lin Y, Tian T, Shi K, Li M, Li X. Factors influencing self-regulatory fatigue in patients undergoing chemotherapy for gynecologic cancer: a cross-sectional study. Front Psychiatry. 2024;15:1273151. doi: 10.3389/fpsyt.2024.1273151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.F AL, De Las Vecillas Sanchez L, Gilbert L, Copaescu AM, Isabwe GAC. Premedication protocols to prevent hypersensitivity reactions to chemotherapy: a literature review. Clin Rev Allergy Immunol. 2022;62:534–547. doi: 10.1007/s12016-022-08932-2. [DOI] [PubMed] [Google Scholar]
  • 25.Pan N, Luo YY, Duan QX. The influence of PDCA cycle management mode on the enthusiasm, efficiency, and teamwork ability of nurses. Biomed Res Int. 2022;2022:9352735. doi: 10.1155/2022/9352735. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 26.Liu H, Zhang H, Qin Y, Li C, Jiao Y. Study on out-of-hospital management mode of patients with acute coronary syndrome after PCI in rural areas. Int Heart J. 2022;63:1026–1033. doi: 10.1536/ihj.22-203. [DOI] [PubMed] [Google Scholar]
  • 27.De Felice F, Locati LD, Ronchi S, Thariat J, Orlandi E. Quality of life and financial toxicity after (chemo)radiation therapy in head and neck cancer: are there any sex- or gender-related differences? Tumori. 2022;108:522–525. doi: 10.1177/03008916221078885. [DOI] [PubMed] [Google Scholar]
  • 28.Tunay M, Kurdak H, Özcan S, Özdemir Ç, Özer ZY. Family physician-led group visits for lifestyle modification in women with weight problems: a pilot intervention and follow-up study. Obes Facts. 2018;11:1–14. doi: 10.1159/000486133. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from American Journal of Translational Research are provided here courtesy of e-Century Publishing Corporation

RESOURCES