Xiao-Cheng Wu
Biographic Data
| ID | 5232574 |
|---|---|
| NAME | Xiao-Cheng Wu |
| GIVEN NAMES | Xiao-Cheng |
| FAMILY NAME | Wu |
| SIGNATURE | WU X |
| AFFILIATIONS | School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
The Utility of Pathology Reports to Identify Persons With Cancer Recurrence
BACKGROUND: Cancer recurrence is an important measure of the impact of cancer treatment. However, no population-based data on recurrence are available. Pathology reports could potentially identify cancer recurrences. Their utility to capture recurrences is unknown. OBJECTIVE: This analysis assesses the sensitivity of pathology reports to identify patients with cancer recurrence and the stage at recurrence. SUBJECTS: The study includes patients wi…
Racial Disparity and Social Determinants in Receiving Timely Surgery Among Stage I–Iiia Non-small Cell Lung Cancer Patients in a U.S. Southern State
Delayed surgery is associated with worse lung cancer outcomes. Social determinants can influence health disparities. This study aimed to examine the potential racial disparity and the effects from social determinants on receipt of timely surgery among lung cancer patients in Louisiana, a southern state in the U.S. White and black stage I–IIIA non-small cell lung cancer patients diagnosed in Louisiana between 2004 and 2016, receiving surgical lobe…
Impact of Adherence to Quality Measures for Localized Prostate Cancer on Patient-reported Health-related Quality of Life Outcomes, Patient Satisfaction, and Treatment-related Complications
BACKGROUND AND OBJECTIVE: Quality measures used in pay-for-performance systems are intended to address specific quality goals, such as safety, efficiency, effectiveness, timeliness, equity, and patient-centeredness. Given the small number of narrowly focused measures in prostate cancer care, we sought to determine whether adherence to any of the available payer-driven quality measures influences patient-centered outcomes, including health-related…
Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients
A Place-Oriented, Mixed-Level Regionalization Method for Constructing Geographic Areas in Health Data Dissemination and Analysis
Similar geographic areas often have great variations in population size. In health data management and analysis, it is desirable to obtain regions of comparable population by decomposing areas of large population (to gain more spatial variability) and merging areas of small population (to mask privacy of data). Based on the Peano curve algorithm and modified scale-space clustering, this research proposes a mixed-level regionalization (MLR) method…
Treatment Patterns for Prostate Cancer
BACKGROUND: As evidence-based guidelines increasingly define standards of care, the accurate reporting of patterns of treatment becomes critical to determine if appropriate care has been provided. We explore the level of agreement between claims and record abstraction for treatment regimens for prostate cancer. METHODS: Medicare claims data were linked to medical records abstraction using data from the Centers for Disease Control and Prevention's…
Developing a Claim-based Version of the ACE-27 Comorbidity Index
OBJECTIVES: The adult comorbidity evaluation (ACE-27) is a medical record-based comorbidity index that predicts survival among various types of cancer patients. The purpose of this study was to compare the medical record-based ACE-27 instrument to a newly developed administrative claim-based ACE-27 measure. STUDY DESIGN AND SETTING: Cross-sectional study of 4,300 breast and prostate cancer patients from the Centers for Disease Control and Prevent…
A Place-Oriented, Mixed-Level Regionalization Method for Constructing Geographic Areas in Health Data Dissemination and Analysis
Similar geographic areas often have great variations in population size. In health data management and analysis, it is desirable to obtain regions of comparable population by decomposing areas of large population (to gain more spatial variability) and merging areas of small population (to mask privacy of data). Based on the Peano curve algorithm and modified scale-space clustering, this research proposes a mixed-level regionalization (MLR) method…
Developing a Claim-based Version of the ACE-27 Comorbidity Index
OBJECTIVES: The adult comorbidity evaluation (ACE-27) is a medical record-based comorbidity index that predicts survival among various types of cancer patients. The purpose of this study was to compare the medical record-based ACE-27 instrument to a newly developed administrative claim-based ACE-27 measure. STUDY DESIGN AND SETTING: Cross-sectional study of 4,300 breast and prostate cancer patients from the Centers for Disease Control and Prevent…
Treatment Patterns for Prostate Cancer
BACKGROUND: As evidence-based guidelines increasingly define standards of care, the accurate reporting of patterns of treatment becomes critical to determine if appropriate care has been provided. We explore the level of agreement between claims and record abstraction for treatment regimens for prostate cancer. METHODS: Medicare claims data were linked to medical records abstraction using data from the Centers for Disease Control and Prevention's…
Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients
A Place-Oriented, Mixed-Level Regionalization Method for Constructing Geographic Areas in Health Data Dissemination and Analysis
Similar geographic areas often have great variations in population size. In health data management and analysis, it is desirable to obtain regions of comparable population by decomposing areas of large population (to gain more spatial variability) and merging areas of small population (to mask privacy of data). Based on the Peano curve algorithm and modified scale-space clustering, this research proposes a mixed-level regionalization (MLR) method…
Impact of Adherence to Quality Measures for Localized Prostate Cancer on Patient-reported Health-related Quality of Life Outcomes, Patient Satisfaction, and Treatment-related Complications
BACKGROUND AND OBJECTIVE: Quality measures used in pay-for-performance systems are intended to address specific quality goals, such as safety, efficiency, effectiveness, timeliness, equity, and patient-centeredness. Given the small number of narrowly focused measures in prostate cancer care, we sought to determine whether adherence to any of the available payer-driven quality measures influences patient-centered outcomes, including health-related…
Racial Disparity and Social Determinants in Receiving Timely Surgery Among Stage I–Iiia Non-small Cell Lung Cancer Patients in a U.S. Southern State
Delayed surgery is associated with worse lung cancer outcomes. Social determinants can influence health disparities. This study aimed to examine the potential racial disparity and the effects from social determinants on receipt of timely surgery among lung cancer patients in Louisiana, a southern state in the U.S. White and black stage I–IIIA non-small cell lung cancer patients diagnosed in Louisiana between 2004 and 2016, receiving surgical lobe…
The Utility of Pathology Reports to Identify Persons With Cancer Recurrence
BACKGROUND: Cancer recurrence is an important measure of the impact of cancer treatment. However, no population-based data on recurrence are available. Pathology reports could potentially identify cancer recurrences. Their utility to capture recurrences is unknown. OBJECTIVE: This analysis assesses the sensitivity of pathology reports to identify patients with cancer recurrence and the stage at recurrence. SUBJECTS: The study includes patients wi…
Medicine (5 works) · Cancer (4 works) · Internal Medicine (4 works) · Cancer survivorship and care (3 works) · Global Cancer Incidence and Screening (3 works) · Intensive care medicine (3 works) · Internal Medicine (3 works) · Physical therapy (3 works) · Population (3 works) · Prostate cancer (3 works)