Disentangling the reasons why older adults do not readily participate in cancer trials: a socio-epidemiological mixed methods approach.

BACKGROUND: Few studies of the under-representation of older adults in cancer clinical trials (CTs) have encompassed the entire pathway from a trial being available in a cancer centre to the patient's invitation to participate and then agreement or refusal to participate. OBJECTIVES: The study's primary objective was to evaluate CT non-invitation and refusal rates. The secondary objectives were to identify factors associated with non-invitation and refusal and to assess experiences of CT participation from the patients' and professionals' perspectives. METHODS: Here, we used mixed methods and a socio-epidemiological approach to analyse reasons for the non-participation of eligible older patients with a solid cancer in cancer CTs in France. RESULTS: We found that non-invitation and low CT participation are mainly related to the patients' sociodemographic characteristics and living conditions (such as social isolation, being single, divorced or widowed, not having children and the absence of close family members) and the healthcare professionals' perceptions of insufficient informal support or a high homecare requirement. CONCLUSION: Our results suggest that efforts to increase fair inclusion and the participation of older adults in CTs should target the physician-patient relationship, the medical profession and hospital funding, rather than the patient alone.

Histology independent drug development - Is this the future for cancer drugs?

The Cancer Drug Development Forum (CDDF)'s 'Histology independent drug development - is this the future for cancer drugs?' workshop was set up to explore the current landscape of histology independent drug development, review the current regulatory landscape and propose recommendations for improving the conduct of future trials. The first session considered lessons learnt from previous trials, including innovative solutions for reimbursement. The session explored why overall survival represents the most valuable endpoint, and the importance of duration of response, which can be captured with swimmer and spider plots. The second session on biomarker development and treatment optimisation considered current regulations for companion diagnostics, FDA guidance on histology independent drug development in oncology, and the need to establish cut-offs for the biomarker of tumour mutational burden to identify the patients most likely to benefit from PDL1 treatment. The third session reviewed novel trial designs, including basket, umbrella and platform trials, and statistical approaches of hierarchical modelling where homogeneity between study cohorts enables information to be borrowed between cohorts. The discussion highlighted the need to agree 'common assessment standards' to facilitate pooling of data across studies. In the fourth session, the sharing of data sets was recognised as a key step for improving equity of access to precision medicines across Europe. The session considered how the European Health Data Space (EHDS) could streamline access to medical records, emphasizing the importance of introducing greater accountability into the digital space. In conclusion the workshop proposed 11 recommendations to facilitate histology agnostic drug development.

New late-emphasis and combination tests based on infimum and supremum logrank statistics with application in oncology trials.

Immunotherapy cancer clinical trials routinely feature an initial period during which the treatment is given without evident therapeutic benefit, which may be followed by a period during which an effective therapy reduces the hazard for event occurrence. The nature of this treatment effect is incompatible with the proportional hazards assumption, which has prompted much work on the development of alternative effect measures of frameworks for testing. We consider tests based on individual and combination of early- and late-emphasis infimum and supremum logrank statistics, describe how they can be implemented, and evaluate their performance in simulation studies. Through this work and illustrative applications we conclude that this class of test statistics offers a new and powerful framework for assessing treatment effects in cancer clinical trials involving immunotherapies.

Burden of cancer trial participation: A qualitative sub-study of the INTERIM feasibility RCT.

OBJECTIVE: A qualitative sub-study was carried out within a larger phase II feasibility trial, to identify and describe the burden experienced by advanced melanoma patients participating in a clinical trial and the factors affecting their capacity to cope with the burden. METHODS: Semi-structured interviews were conducted with fourteen patients with advanced melanoma recruited from National Health Service hospitals in the United Kingdom. Qualitative analysis was undertaken using a framework analysis approach. Normalisation process theory was applied to the concept of research participation burden in order to interpret and categorise findings. RESULTS: Burdens of participation were identified as arising from making sense of the trial and treatment; arranging transport, appointment and prescriptions; enacting management strategies and enduring side effects; reflecting on trial documents and treatment efficacy, and emotional and mental effects of randomisation and treatment side effects. Factors reported as influencing capacity include personal attributes and skills, physical and cognitive abilities and support network. DISCUSSION: This is the first study to highlight the substantial burden faced by patients with advanced melanoma in a clinical trial and factors that may lessen or worsen the burden. Consideration of identified burdens during trial design and execution will reduce the burden experienced by research participants.

Quasi-partial order continual reassessment method: Applying toxicity scores to cancer dose-finding drug combination trials.

The primary endpoint of most dose-finding cancer trials is patient toxicity, and the primary goal is to identify the maximum tolerated dose (MTD), that is, the highest dose that falls below or within a pre-specified toxicity tolerability threshold. Conventionally, dose-finding methods have utilized a binary toxicity endpoint based on whether or not a patient experiences a dose limiting-toxicity (DLT). Improving upon this, in recent years several methods have been developed for modeling toxicity scores, a novel continuous endpoint designed to more precisely estimate patient toxicity burden. Separately, drug-combination trials have become increasingly prevalent, and due to added complexities regarding estimating 'true' dose ordering and potential for more complex patient toxicity profiles, provide an ideal setting which may benefit from the improved precision of toxicity scores. In this paper, we merge two frameworks based on the Continual Reassessment Method (CRM) - the Quasi-CRM and the Partial Order CRM (POCRM) - to propose a novel approach for modeling toxicity scores in a combination-trial setting. We demonstrate that utilizing toxicity scores has the potential to greatly improve correct dose-selection over a variety of trial scenarios. We further present a simple adaptation to the toxicity-score model to control for potential over-dosing issues such that it adheres to the conventional DLT definition and will, at worst, perform equivalently to that of the traditional binary DLT framework. We demonstrate that extending toxicity scores to the combination-trial setting offers potential for improvement over the conventional binary endpoint models.

The MEMORY Study: MulticentEr study of Minimally invasive surgery versus Open Radical hYsterectomy in the management of early-stage cervical cancer: Survival outcomes.

OBJECTIVE: The Laparoscopic Approach to Cervical Cancer (LACC) trial found that minimally invasive radical hysterectomy compared to open radical hysterectomy compromised oncologic outcomes and was associated with worse progression-free survival (PFS) and overall survival (OS) in early-stage cervical carcinoma. We sought to assess oncologic outcomes at multiple centers between minimally invasive (MIS) radical hysterectomy and OPEN radical hysterectomy. METHODS: This is a multi-institutional, retrospective cohort study of patients with 2009 FIGO stage IA1 (with lymphovascular space invasion) to IB1 cervical carcinoma from 1/2007-12/2016. Patients who underwent preoperative therapy were excluded. Squamous cell carcinoma, adenocarcinoma, and adenosquamous carcinomas were included. Appropriate statistical tests were used. RESULTS: We identified 1093 cases for analysis-715 MIS (558 robotic [78%]) and 378. OPEN procedures. The OPEN cohort had more patients with tumors >2 cm, residual disease in the hysterectomy specimen, and more likely to have had adjuvant therapy. Median follow-up for the MIS and OPEN cohorts were 38.5 months (range, 0.03-149.51) and 54.98 months (range, 0.03-145.20), respectively. Three-year PFS rates were 87.9% (95% CI: 84.9-90.4%) and 89% (95% CI: 84.9-92%), respectively (P = 0.6). On multivariate analysis, the adjusted HR for recurrence/death was 0.70 (95% CI: 0.47-1.03; P = 0.07). Three-year OS rates were 95.8% (95% CI: 93.6-97.2%) and 96.6% (95% CI: 93.8-98.2%), respectively (P = 0.8). On multivariate analysis, the adjusted HR for death was 0.81 (95% CI: 0.43-1.52; P = 0.5). CONCLUSION: This multi-institutional analysis showed that an MIS compared to OPEN radical hysterectomy for cervical cancer did not appear to compromise oncologic outcomes, with similar PFS and OS.

Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials.

BACKGROUND: To determine how much an augmented analysis approach could improve the efficiency of prostate-specific antigen (PSA) response analyses in clinical practice. PSA response rates are commonly used outcome measures in metastatic castration-resistant prostate cancer (mCRPC) trial reports. PSA response is evaluated by comparing continuous PSA data (e.g., change from baseline) to a threshold (e.g., 50% reduction). Consequently, information in the continuous data is discarded. Recent papers have proposed an augmented approach that retains the conventional response rate, but employs the continuous data to improve precision of estimation. METHODS: A literature review identified published prostate cancer trials that included a waterfall plot of continuous PSA data. This continuous data was extracted to enable the conventional and augmented approaches to be compared. RESULTS: Sixty-four articles, reporting results for 78 mCRPC treatment arms, were re-analysed. The median efficiency gain from using the augmented analysis, in terms of the implied increase to the sample size of the original study, was 103.2% (IQR [89.8,190.9%]). CONCLUSIONS: Augmented PSA response analysis requires no additional data to be collected and can be performed easily using available software. It improves precision of estimation to a degree that is equivalent to a substantial sample size increase. The implication of this work is that prostate cancer trials using PSA response as a primary endpoint could be delivered with fewer participants and, therefore, more rapidly with reduced cost.

A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks.

We develop a Bayesian nonparametric (BNP) approach to evaluate the causal effect of treatment in a randomized trial where a nonterminal event may be censored by a terminal event, but not vice versa (i.e., semi-competing risks). Based on the idea of principal stratification, we define a novel estimand for the causal effect of treatment on the nonterminal event. We introduce identification assumptions, indexed by a sensitivity parameter, and show how to draw inference using our BNP approach. We conduct simulation studies and illustrate our methodology using data from a brain cancer trial. The R code implementing our model and algorithm is available for download at https://github.com/YanxunXu/BaySemiCompeting.

Modeling tumor measurement data to predict overall survival (OS) in cancer clinical trials.

INTRODUCTION: Longitudinal tumor measurements (TM) are commonly recorded in cancer clinical trials of solid tumors. To define patient response to treatment, the Response Evaluation Criteria in Solid Tumors (RECIST) categorizes the otherwise continuous measurements, which results in substantial information loss. We investigated two modeling approaches to incorporate all available cycle-by-cycle (continuous) TM to predict overall survival (OS) and compare the predictive accuracy of these two approaches to RECIST. MATERIAL AND METHODS: Joint modeling (JM) for longitudinal TM and OS and two-stage modeling with potential time-varying coefficients were utilized to predict OS using data from three trials with cycle-by-cycle TM. The JM approach incorporates TM data collected throughout the course of the clinical trial. The two-stage modeling approach incorporates information from early assessments (before 12 weeks) to predict subsequent OS outcome. The predictive accuracy was quantified by c-indices. RESULTS: Data from 577, 337, and 126 patients were included for the analysis (from two stage IV colorectal cancer trials (N9741, N9841) and an advanced non-small cell lung cancer trial (N0026), respectively). Both the JM and two-stage modeling reached a similar conclusion, i.e. the baseline covariates (age, gender, and race) were mostly not predictive of OS (p-value > 0.05). Quantities derived from TM were strong predictors of OS in the two colorectal cancer trials (p < 0.001 for both association in JM and two-stage modeling parameters); but less so in the lung cancer trial (p = 0.053 for association in JM and p = 0.024 and 0.160 for two-stage modeling parameters). The c-indices from the two-stage modeling were higher than those from a model using RECIST (range: 0.611-0.633 versus 0.586-0.590). The dynamic c-indices from the JM were in the range of 0.627-0.683 indicating good predictive accuracy. CONCLUSION: Both modeling approaches provide highly interpretable and clinical meaningful results; the improved predictive performance compared with RECIST indicates the possibility of deriving better trial endpoints from these approaches.

Intensity modulated radiotherapy for anal canal squamous cell carcinoma: A 16-year single institution experience.

INTRODUCTION: To report long-term efficacy and adverse events (AEs) associated with intensity modulated radiotherapy (IMRT) for patients with anal canal squamous cell carcinoma (ASCC). MATERIALS AND METHODS: This was a retrospective review of patients with ASCC who received curative-intent IMRT and concurrent chemotherapy (98%) between 2003 and 2019. Overall survival (OS), colostomy-free survival (CFS), and progression-free survival (PFS) were estimated using the Kaplan-Meier method. The cumulative incidence of local recurrence (LR), locoregional recurrence (LRR), and distant metastasis (DM) were reported. Acute and late AEs were recorded per National Cancer Institute Common Terminology Criteria for AEs. RESULTS: 127 patients were included. The median patient age was 63 years (interquartile range [IQR] 55-69) and 79% of patients were female. 33% of patients had T3-4 disease and 68% had clinically involved pelvic or inguinal lymph nodes (LNs).The median patient follow-up was 47 months (IQR: 28-89 months). The estimated 4-year OS, CFS, and PFS were 81% (95% confidence interval [CI]: 73%-89%), 77% (95% CI: 68%-86%), and 78% (95% CI: 70%-86%), respectively. The 4-year cumulative incidences of LR, LRR, and DM were 3% (95% CI: 1%-9%), 9% (95% CI: 5%-17%), and 10% (95% CI: 6%-18%), respectively. Overall treatment duration greater than 39 days was associated with an increased risk of LRR (Hazard Ratio [HR]: 5.2, 95% CI: 1.4-19.5, p = 0.015). The most common grade 3+ acute AEs included hematologic (31%), gastrointestinal (GI) (17%), dermatologic (16%), and pain (15%). Grade 3+ late AEs included: GI (3%), genitourinary (GU) (2%), and pain (1%). Current smokers were more likely to experience grade 3+ acute dermatologic toxicity compared to former or never smokers (34% vs. 7%, p < 0.001). CONCLUSIONS: IMRT was associated with favorable toxicity rates and long-term efficacy. These data support the continued utilization of IMRT as the preferred treatment technique for patients with ASCC.

Efficient analysis of time-to-event endpoints when the event involves a continuous variable crossing a threshold.

In many trials, the duration between patient enrolment and an event occurring is used as the efficacy endpoint. Common endpoints of this type include the time until relapse, progression to the next stage of a disease, or time until remission. The criteria of an event may be defined by multiple components, one or more of which may be a continuous measurement being above or below a threshold. Typical analyses consider all components as binary variables and record the first time at which the patient has an event. This is analysed through constructing and testing survival functions using Kaplan-Meier, parametric models or Cox models. This approach ignores information contained in the continuous components. We propose a method that makes use of this information to improve the precision of analyses using these types of endpoints. We use joint modelling of the continuous and binary components to construct survival curves. We show how to compute confidence intervals for quantities of interest, such as the median or mean event time. We assess the properties of the proposed method using simulations and data from a phase II cancer trial and an observational study in renal disease.

A Bayesian approach in design and analysis of pediatric cancer clinical trials.

It is well recognized that cancer drug development for children and adolescents has many challenges, from biological and societal to economic. Pediatric cancer consists of a diverse group of rare diseases, and the relatively small population of children with multiple, disparate tumor types across various age groups presents a significant challenge for drug development programs as compared to oncology drug development programs for adults. Due to the different types of cancers, limited opportunities exist for extrapolation of efficacy from adult cancer indications to children. Thus, innovative study designs including Bayesian statistical approaches should be considered. A Bayesian approach can be a flexible tool to formally leverage prior knowledge of adult or external controls in pediatric cancer trials. In this article, we provide in a case example of how Bayesian approaches can be used to design, monitor, and analyze pediatric trials. Particularly, Bayesian sequential monitoring can be useful to monitor pediatric trial results as data accumulate. In addition, designing a pediatric trial with both skeptical and enthusiastic priors with Bayesian sequential monitoring can be an efficient mechanism for early trial cessation for both efficacy and futility. The interpretation of efficacy using a Bayesian approach is based on posterior probability and is intuitive and interpretable for patients, parents and prescribers given limited data.

Thyroid cancer clinical trials in the United States: Understanding trends to maximize impact.

BACKGROUND: We sought to understand thyroid cancer study modalities, publications, and grants. This provides scope, resources, and dissemination patterns to inform future directions for research and policy. METHODS: A retrospective study of thyroid cancer trials using ClinicalTrials.gov was performed. Publication and grant awards were sourced using PubMed.gov and NIH RePORTER, respectively. RESULTS: Seventy-three thyroid cancer trials were identified out of 217 000 from 1998 to 2015. Drugs were studied in 96% of all trials. Only 14% of all trials included radiation, and 4% included surgery. Only 29% of trials published their results, NIH funding was reported for 26% of trials. Total funding was $1 845 567 484 (average award: $97135131). CONCLUSION: This study is the first to prove that drug trials predominate in thyroid cancer and quantify NIH dollars awarded. Radiation and surgery are underrepresented, despite being standard of care. We recommend better balance of therapeutics and peer-reviewed reporting of positive and negative results. LEVEL OF EVIDENCE: Level 1a evidence.

Patients' reasoning regarding the decision to participate in clinical cancer trials: an interview study.

BACKGROUND: Clinical cancer trials are crucial for the implementation of new treatments in the clinical setting, but it is equally crucial that patients are given the opportunity to make a well-informed decision about participation. The inclusion process is complex, including both oral and written information about the trial. The process of patients' decision-making regarding clinical cancer trials has not yet been sufficiently studied. This interview study aims to explore the process of patients' reasoning regarding the decision to participate in a clinical cancer trial. METHODS: The study is based on 27 individual face-to-face interviews with patients who had decided to participate in a clinical cancer trial. The interviews were audio-recorded and transcribed verbatim and then analysed using inductive content analysis. RESULTS: Content analysis revealed 17 subthemes grouped into five themes: (1) an unhesitating decision to participate; (2) a decision based on flimsy grounds and guided by emotion; (3) feeling safe and secure with my decision; (4) faced with a choice versus what choice do I have? and (5) hoping for help while helping others. The decision to participate in a clinical cancer trial was often immediate and guided by emotions, based on a trusting relationship with healthcare personnel rather than on careful reading of written information. Palliative patients, in particular, sometimes had unrealistic beliefs about the effectiveness of the trial treatment. CONCLUSIONS: It is vital that the decision to participate in a clinical cancer trial is preceded by an honest dialogue about possible positive and negative effects of the trial treatments, including other options such as supportive care in the palliative setting. Our findings also raise the questions of how important written information is for the decision-making process and also whether genuine informed consent is possible. To reach a higher degree of informed consent, it is most important that the oral information is given in a thorough and unbiased manner.

A comprehensive review on Brigatinib - A wonder drug for targeted cancer therapy in non-small cell lung cancer.

The mortality rate in patients suffering from non-small cell lung cancer (NSCLC) is quite high. This type of cancer mainly occurs due to rearrangements in the anaplastic lymphoma kinase (ALK) gene which leads to form an oncogene of fused gene NPM-ALK. Brigatinib is recently approved by FDA in April 2017 as a potent tyrosine kinase inhibitor (TKI) for the NSCLC therapy. In the present scenario, it is no less than a wonder drug because it is indicated for the treatment of advanced stages of metastatic ALK positive NSCLC, a fatal disease to overcome the resistance of various other ALK inhibitors such as crizotinib, ceritinib and alectinib. In addition to ALK, it is also active against multiple types of kinases such as ROS1, Insulin like growth factor-1Receptor and EGFR. It can be synthesized by using N-[2-methoxy-4-[4-(dimethylamino) piperidin-1-yl] aniline] guanidine and 2,4,5-trichloropyrimidine respectively in two different ways. Its structure consists of mainly dimethylphosphine oxide group which is responsible for its pharmacological activity. It is active against various cell lines such as HCC78, H2228, H23, H358, H838, U937, HepG2 and Karpas- 299. Results of ALTA (ALK in Lung Cancer Trial of AP26113) phase ½ trial shows that 90 mg of brigatinib for 7 days and then 180 mg for next days is effective in the treatment of NSCLC. Brigatinib has been shown to have favorable risk benefit profile and is a safer drug than the available cytotoxic chemotherapeutic agents. In comparison to other FDA approved drugs for the same condition, it causes fewer minor adverse reactions which can be easily managed either by changing the dose or by providing good supportive care. This article is intended to provide readers with an overview of chemistry, pharmacokinetic, pharmacodynamic and safety profile of brigatinib, which addresses an unmet medical need.

Improving phase II oncology trials using best observed RECIST response as an endpoint by modelling continuous tumour measurements.

In many phase II trials in solid tumours, patients are assessed using endpoints based on the Response Evaluation Criteria in Solid Tumours (RECIST) scale. Often, analyses are based on the response rate. This is the proportion of patients who have an observed tumour shrinkage above a predefined level and no new tumour lesions. The augmented binary method has been proposed to improve the precision of the estimator of the response rate. The method involves modelling the tumour shrinkage to avoid dichotomising it. However, in many trials the best observed response is used as the primary outcome. In such trials, patients are followed until progression, and their best observed RECIST outcome is used as the primary endpoint. In this paper, we propose a method that extends the augmented binary method so that it can be used when the outcome is best observed response. We show through simulated data and data from a real phase II cancer trial that this method improves power in both single-arm and randomised trials. The average gain in power compared to the traditional analysis is equivalent to approximately a 35% increase in sample size. A modified version of the method is proposed to reduce the computational effort required. We show this modified method maintains much of the efficiency advantages.

Quality-of-Life (QOL) during Screening for Phase 1 Trial Studies in Patients with Advanced Solid Tumors and Its Impact on Risk for Serious Adverse Events.

Background: Serious adverse events (SAEs) and subject replacements occur frequently in phase 1 oncology clinical trials. Whether baseline quality-of-life (QOL) or social support can predict risk for SAEs or subject replacement among these patients is not known. Methods: Between 2011-2013, 92 patients undergoing screening for enrollment into one of 22 phase 1 solid tumor clinical trials at Roswell Park Cancer Institute were included in this study. QOL Questionnaires (EORTC QLQ-C30 and FACT-G), Medical Outcomes Study Social Support Survey (MOSSSS), Charlson comorbidity scores (CCS) and Royal Marsden scores (RMS) were obtained at baseline. Frequency of dose limiting toxicities (DLTs), subject replacement and SAEs that occurred within the first 4 cycles of treatment were recorded. Fisher's exact test and Mann-Whitney-Wilcoxon test were used to study the association between categorical and continuous variables, respectively. A linear transformation was used to standardize QOL scores. p-value ≤ 0.05 was considered statistically significant. Results: Baseline QOL, MOSSSS, CCS and RMS were not associated with subject replacement nor DLTs. Baseline EORTC QLQ-C30 scores were significantly lower among patients who encountered SAEs within the first 4 cycles (p = 0.04). Conclusions: Lower (worse) EORTC QLQ-C30 score at baseline is associated with SAE occurrence during phase 1 oncology trials.

Qualitative analysis of clinical research coordinators' role in phase I cancer clinical trials.

BACKGROUND: Clinical research coordinators play a pivotal role in phase I cancer clinical trials. PURPOSE: We clarified the care coordination and practice for patients provided by clinical research coordinators in phase I cancer clinical trials in Japan and elucidated clinical research coordinators' perspective on patients' expectations and understanding of these trials. METHOD: Fifteen clinical research coordinators participated in semi-structured interviews regarding clinical practices; perceptions of patients' expectations; and the challenges that occur before, during, and after phase I cancer clinical trials. DISCUSSION: Qualitative content analysis showed that most clinical research coordinators observed that patients have high expectations from the trials. Most listened to patients to confirm patients' understanding and reflected on responses to maintain hope, but to avoid excessive expectations; clinical research coordinators considered avoiding unplanned endings; and they aimed to establish good relationships between patients, medical staff, and among the professional team. CONCLUSIONS: Clinical research coordinators were insightful about the needs of patients and took a meticulous approach to the phase I cancer clinical trial process, allowing time to connect with patients and to coordinate the inter-professional research team. Additionally, education in advanced oncology care was valuable for comforting participants in cancer clinical trials.

Analysis of 473 US Head and Neck Cancer Trials (1996-2014): Trends, Gaps, and Opportunities.

OBJECTIVE: To report on types of investigations being conducted in US clinical trials, the types of therapeutic investigations that predominate, and the publication rates. STUDY DESIGN: Retrospective analysis. SETTINGS: US head and neck cancer clinical trials. SUBJECTS AND METHODS: We used the information available on ClinicalTrials.gov to identify trends in head and neck squamous cell carcinoma clinical trials to characterize the types of trials and treatments being investigated. The publication rate for these trials was also examined with PubMed.gov. RESULTS: Of the 473 trials analyzed, similar drug regimens have been used repeatedly in head and neck cancer clinical trials. Drug studies are highly represented, composing 62% of all trials. The most common drugs studied were cisplatin, cetuximab, and docetaxel. Among all head and neck cancer clinical trials, 33% included radiation therapy in their treatment, while 10% included a surgical component. Forty-nine percent of trials had their results published in a medical journal, and 70% of the publications reported positive results. CONCLUSION: Head and neck cancer trials are heavily weighted toward drug trials and demonstrate redundancy. Other therapies are underrepresented, especially surgery. There is a gap between the trials conducted and the rate of reporting, with an emphasis on positive results. Better balance in studying treatment modalities, less redundancy in clinical trials, and reporting all results have potential benefits for head and neck cancer and the public good.