Quality of Cancer Recurrence Data in the National Cancer Database: A Reappraisal of Reporting Readiness.

Background: This study evaluated the quality of cancer recurrence data in the National Cancer Database (NCDB) to determine if missingness and reporting consistency have improved enough to support national research.

Methods: This multi-methods study included NCDB analyses and a cancer registry staff survey. Trends in recurrence data missingness from 2004 to 2021 and multivariable analyses of factors associated with missingness from 2017 to 2021 were evaluated for 4,568,927 patients with non-metastatic cancer.

Lack of Hierarchical Survival Prognosis in AJCC Staging for Colon and Rectal Cancer-Implications for Future Summary Stage Classification.

Background: Current American Joint Committee on Cancer (AJCC) staging for colorectal cancer utilizes TNM framework groups disease based on extent and provides prognostic information, ideally with a hierarchical logic. We sought to evaluate survival as a function of stage within the 8 edition AJCC staging system for colon and rectal cancer.

Methods: Patients with primary colon or rectal cancer diagnosed 2010-2016 were identified from the National Cancer Database (NCDB).

American College of Surgeons survival calculator for biliary tract cancers: using machine learning to individualize predictions.

Background: Although cancer prognosis is most commonly estimated by tumor stage, survival is multifactorial. Our objective was to develop an American College of Surgeons "Biliary Tract Cancer Survival Calculator" prototype using machine learning to generate personalized survival estimates based on patient, tumor, and treatment factors.

Methods: The National Cancer Database was used to identify all patients with biliary tract malignancies between 2010 and 2017 including intrahepatic bile duct, extrahepatic bile duct, and gallbladder cancers.

Association of commission on cancer accreditation with receipt of guideline-concordant care and survival among patients with colon cancer.

Background: Guideline-concordant care (GCC) is associated with improved survival for patients with cancer; however, variations in receipt of GCC remain a concern. The objective of this study was to evaluate the association of Commission on Cancer (CoC) hospital accreditation status with receipt of GCC and survival among patients with colon cancer.

Methods: This retrospective observational study identified patients diagnosed with stage I-IV colon cancer from 2018 to 2020 from the National Program of Cancer Registries and Surveillance, Epidemiology, and End Results Program Database.

Social Vulnerability and Receipt of Guideline-Concordant Care among Patients with Colorectal Cancer.

Background: Cancer outcome disparities have been reported in highly vulnerable communities. The objective of this study was to evaluate the association of social vulnerability with receipt of guideline-concordant care (GCC) and mortality risk for patients with colorectal cancer.

Study Design: This retrospective observational study identified patients with stage I to III colon or stage II to III rectal cancer between 2018 and 2020 from the National Program of Cancer Registries Database.

Hospital Accreditation Status and Treatment Differences Among Black Patients With Colon Cancer.

Importance: Hospital-level factors, such as hospital type or volume, have been demonstrated to play a role in treatment disparities for Black patients with cancer. However, data evaluating the association of hospital accreditation status with differences in treatment among Black patients with cancer are lacking.

Objective: To evaluate the association of Commission on Cancer (CoC) hospital accreditation status with receipt of guideline-concordant care and mortality among non-Hispanic Black patients with colon cancer.

The National Cancer Database Conforms to the Standardized Framework for Registry and Data Quality.

Background: Standardization of procedures for data abstraction by cancer registries is fundamental for cancer surveillance, clinical and policy decision-making, hospital benchmarking, and research efforts. The objective of the current study was to evaluate adherence to the four components (completeness, comparability, timeliness, and validity) defined by Bray and Parkin that determine registries' ability to carry out these activities to the hospital-based National Cancer Database (NCDB).

Methods: Tbis study used data from U.

Survival Among Patients With High-Risk Gastrointestinal Cancers During the COVID-19 Pandemic.

Importance: Prior reports demonstrated that patients with cancer experienced worse outcomes from pandemic-related stressors and COVID-19 infection. Patients with certain malignant neoplasms, such as high-risk gastrointestinal (HRGI) cancers, may have been particularly affected.

Objective: To evaluate disruptions in care and outcomes among patients with HRGI cancers during the COVID-19 pandemic, assessing for signs of long-term changes in populations and survival.

Data-driven optimization of version 9 American Joint Committee on Cancer staging system for anal cancer.

Introduction: The American Joint Committee on Cancer (AJCC) staging system undergoes periodic revisions to maintain contemporary survival outcomes related to stage. Recently, the AJCC has developed a novel, systematic approach incorporating survival data to refine stage groupings. The objective of this study was to demonstrate data-driven optimization of the version 9 AJCC staging system for anal cancer assessed through a defined validation approach.

Isometric Evolution in de Sitter Quantum Gravity.

We study time evolution in a simple model of de Sitter quantum gravity, namely, Jackiw-Teitelboim with a positive cosmological constant. We find that time evolution is isometric rather than unitary. The states that are projected out under time evolution correspond to initial conditions that crunch.

Alterations in Cancer Treatment During the First Year of the COVID-19 Pandemic in the US.

Importance: The COVID-19 pandemic created challenges to the evaluation and treatment of cancer, and abrupt resource diversion toward patients with COVID-19 put cancer treatment on hold for many patients. Previous reports have shown substantial declines in cancer screening and diagnoses in 2020; however, the extent to which the delivery of cancer care was altered remains unclear.

Objective: To assess alterations in cancer treatment in the US during the first year of the COVID-19 pandemic.

The complexity of NISQ.

The recent proliferation of NISQ devices has made it imperative to understand their power. In this work, we define and study the complexity class NISQ, which encapsulates problems that can be efficiently solved by a classical computer with access to noisy quantum circuits. We establish super-polynomial separations in the complexity among classical computation, NISQ, and fault-tolerant quantum computation to solve some problems based on modifications of Simon's problems.

Survival outcomes used to validate version 9 of the American Joint Committee on Cancer staging system for appendiceal cancer.

The standard for cancer staging in the United States for all cancer sites, including primary carcinomas of the appendix, is the American Joint Committee on Cancer (AJCC) staging system. AJCC staging criteria undergo periodic revisions, led by a panel of site-specific experts, to maintain contemporary staging definitions through the evaluation of new evidence. Since its last revision, the AJCC has restructured its processes to include prospectively collected data because large data sets have become increasingly robust and available over time.

Preparing random states and benchmarking with many-body quantum chaos.

Producing quantum states at random has become increasingly important in modern quantum science, with applications being both theoretical and practical. In particular, ensembles of such randomly distributed, but pure, quantum states underlie our understanding of complexity in quantum circuits and black holes, and have been used for benchmarking quantum devices in tests of quantum advantage. However, creating random ensembles has necessitated a high degree of spatio-temporal control placing such studies out of reach for a wide class of quantum systems.

Orthostatic intolerance and neurocognitive impairment in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Objectives: The Institute of Medicine (IOM 2015. Beyond Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Redefining an Illness. Washington: The National Academies Press) suggested new criteria for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), which requires an endorsement of either neurocognitive impairment or orthostatic intolerance (OI) in addition to other core symptoms.

Evaluating information loss in the National Cancer Database from cases lost to follow-up.

Background And Objectives: Cancer registries must focus on data capture which returns value while reducing resource burden with minimal loss of data. Identifying the optimum length of follow-up data collection for patients with cancer achieves this goal.

Methods: A two-step analysis using entropy calculations to assess information gain for each follow-up year, and second-order differences to compare survival outcomes between the defined follow-up periods and lifetime follow-up.

Quantum advantage in learning from experiments.

Quantum technology promises to revolutionize how we learn about the physical world. An experiment that processes quantum data with a quantum computer could have substantial advantages over conventional experiments in which quantum states are measured and outcomes are processed with a classical computer. We proved that quantum machines could learn from exponentially fewer experiments than the number required by conventional experiments.

Predictors for Developing Severe Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Following Infectious Mononucleosis.

Background: About 10% of individuals who contract infectious mononucleosis (IM) have symptoms 6 months later that meet criteria for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Our study for the first time examined whether it is possible to predict who will develop ME/CFS following IM.

Methods: We have reported on a prospectively recruited cohort of 4,501 college students, of which 238 (5.

Quantum algorithmic measurement.

There has been recent promising experimental and theoretical evidence that quantum computational tools might enhance the precision and efficiency of physical experiments. However, a systematic treatment and comprehensive framework are missing. Here we initiate the systematic study of experimental quantum physics from the perspective of computational complexity.

FIGO staging for carcinoma of the vulva: 2021 revision.

To revise the FIGO staging for carcinoma of the vulva using a new approach that involves analyses of prospectively collected data. The FIGO Committee for Gynecologic Oncology reviewed the recent literature to gain an insight into the impact of the 2009 vulvar cancer staging revision. The Committee resolved to revise the staging with a goal of simplification and actively collaborated with the United States National Cancer Database to analyze prospectively collected data on carcinoma of the vulva.

COVID-19 Symptoms Over Time: Comparing Long-Haulers to ME/CFS.

Introduction: Our objective was to determine which symptoms among long-hauler COVID-19 patients change over time, and how their symptoms compare to another chronic illness group. 278 long-haulers completed two symptom questionnaires at one time point, with one recounting experiences from an average of 21.7 weeks prior.

Causal attributions and perceived stigma for myalgic encephalomyelitis/chronic fatigue syndrome.

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic disease with the hallmark symptom of post-exertional malaise. Evidence for physiological causes is converging, however, currently no diagnostic test or biomarker is available. People with ME/CFS experience stigmatization, including the perception that the disease is psychosomatic.