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Wang L, Qi Y, Liu A, Guo X, Sun S, Zhang L, Ji H, Liu G, Zhao H, Jiang Y, Li J, Song C, Yu X, Yang L, Yu J, Feng H, Yang F, Xue F. Opportunistic Screening With Low-Dose Computed Tomography and Lung Cancer Mortality in China. JAMA Netw Open 2023; 6:e2347176. [PMID: 38085543 PMCID: PMC10716726 DOI: 10.1001/jamanetworkopen.2023.47176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/26/2023] [Indexed: 12/18/2023] Open
Abstract
Importance Despite the recommendations of lung cancer screening guidelines and the evidence supporting the effectiveness of population-based lung screening, a common barrier to effective lung cancer screening is that the participation rates of low-dose computed tomography (LDCT) screening among individuals with the highest risk are not large. There are limited data from clinical practice regarding whether opportunistic LDCT screening is associated with reduced lung-cancer mortality. Objective To evaluate whether opportunistic LDCT screening is associated with improved prognosis among adults with lung cancer in mainland China. Design, Setting, and Participants This cohort study included patients diagnosed with lung cancer at Weihai Municipal Hospital Healthcare Group, Weihai City, China, from 2016 to 2021. Data were analyzed from January 2022 to February 2023. Exposures Data collected included demographic indicators, tumor characteristics, comorbidities, blood indexes, and treatment information. Patients were classified into screened and nonscreened groups on the basis of whether or not their lung cancer diagnosis occurred through opportunistic screening. Main Outcomes and Measures Follow-up outcome indicators included lung cancer-specific mortality and all-cause mortality. Propensity score matching (PSM) was adopted to account for potential imbalanced factors between groups. The associations between LDCT screening and outcomes were analyzed using Cox regression models based on the matched data. Propensity score regression adjustment and inverse probability treatment weighting were used for sensitivity analysis. Results A total of 5234 patients (mean [SD] baseline age, 61.8 [9.8] years; 2518 [48.1%] female) with complete opportunistic screening information were included in the analytical sample, with 2251 patients (42.91%) receiving their lung cancer diagnosis through opportunistic screening. After 1:1 PSM, 2788 patients (1394 in each group) were finally included. The baseline characteristics of the matched patients were balanced between groups. Opportunistic screening with LDCT was associated with a 49% lower risk of lung cancer death (HR, 0.51; 95% CI, 0.42-0.62) and 46% lower risk of all-cause death (HR, 0.54; 95% CI, 0.45-0.64). Conclusions and Relevance In this cohort study of patients with lung cancer, opportunistic lung cancer screening with LDCT was associated with lower lung cancer mortality and all-cause mortality. These findings suggest that opportunistic screening is an important supplement to population screening to improve prognosis of adults with lung cancer.
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Affiliation(s)
- Lijie Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Healthcare Big Data Research Institute, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yue Qi
- Department of Oncology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Ailing Liu
- Department of Pulmonary and Critical Care Medicine, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Xiaolei Guo
- Department for Chronic and Non-Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shanshan Sun
- Department of Oncology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Lanfang Zhang
- Department of Chemotherapy, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Huaijun Ji
- Department of Thoracic Surgery, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Guiyuan Liu
- Department of Radiology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Huan Zhao
- Department of Oncology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Yinan Jiang
- Department of Radiotherapy, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Jingyi Li
- Department of Radiotherapy, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Chengcun Song
- Department of Chemotherapy, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Xin Yu
- Department of Oncology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Liu Yang
- Department of Chemotherapy, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Jinchao Yu
- Department of Radiology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Hu Feng
- Department of Oncology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Fujun Yang
- Department of Oncology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Healthcare Big Data Research Institute, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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Zhong L, Bather JR, Daly BM, Kohlmann WK, Goodman MS, Rothwell E, Kaphingst KA. Investigation of interest in and timing preference for cancer predisposition testing and expanded carrier screening among women of reproductive age. PEC INNOVATION 2023; 2:100128. [PMID: 37214524 PMCID: PMC10194195 DOI: 10.1016/j.pecinn.2023.100128] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/19/2023] [Accepted: 01/23/2023] [Indexed: 05/24/2023]
Abstract
Objective To examine cognitive, relational, and social predictors of interest in and timing preference for cancer predisposition testing (CPT) and expanded carrier screening (ECS) offered in routine gynecologic care for women of reproductive age. Methods Women between 20 and 35 years old who were currently pregnant or had a prior pregnancy (N = 351) completed an online survey. Bivariate and multivariable analyses were used to identify significant predictors of women's interest in and timing preference for CPT and ECS. Results Most respondents reported high interest in CPT and ECS and preferred to have them when planning for a pregnancy. Perceived importance of genetic information and negative attitude towards uncertainty predicted interest in CPT and ECS in multivariable models. Genetic knowledge predicted preference for CPT or ECS when planning for a pregnancy. Conclusion Educational and decision support tools should be developed to enhance women's knowledge and awareness of CPT and ECS and to provide them with strategies to manage uncertainty. Innovation We examined women's timing preference for CPT and ECS and the impact of partner support and trust with gynecologist. A context-specific attitudes toward uncertainty scale was used to investigate women's particular perceptions of uncertainty in genetic testing.
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Affiliation(s)
- Lingzi Zhong
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
- Department of Communication, University of Utah, Salt Lake City, UT, United States
| | - Jemar R. Bather
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Brianne M. Daly
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Wendy K. Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Melody S. Goodman
- Department of Biostatistics, New York University School of Global Public Health, New York City, NY, United States
| | - Erin Rothwell
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT, USA
| | - Kimberly A. Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
- Department of Communication, University of Utah, Salt Lake City, UT, United States
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Braithwaite D, Chicaiza A, Lopez K, Lin KW, Mishori R, Karanth SD, Anton S, Miller K, Schonberg MA, Schoenborn NL, O’Neill SC. Clinician and patient perspectives on screening mammography among women age 75 and older: A pilot study of a novel decision aid. PEC INNOVATION 2023; 2:100132. [PMID: 37124453 PMCID: PMC10136373 DOI: 10.1016/j.pecinn.2023.100132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Objective Supporting patient-clinician communication is key to implementing tailored, risk-based screening for older adults. Objectives of this multiphase mixed methods study were to identify factors that primary care clinicians consider influential when making screening mammography recommendations for women ≥ 75 years, develop a patient decision aid that incorporates these factors, and gather feasibility and acceptability from the patients' perspective. Methods Clinicians from a Mid-Atlantic practice network completed online surveys. Women in the same network completed surveys before and after receiving a tailored booklet that included information about the benefits and harms of screening for women ≥ 75 years, a breast cancer risk-estimate, and a question prompt list to support patient-clinician communication. Results Clinicians (N = 21) were primarily women [57.1%] and practiced family medicine [81.0%]. They cited patients' age ≥ 75 years [95.4%], comorbidity [86.4%], functional status [77.3%], cancer family history [63.6%], U.S. Preventive Services Task Force guidelines [81.8%] and new research [77.3%] as factors influencing their recommendations. Fourteen women completed baseline surveys and received personalized decision aids (Mean age = 79.1 years). Eleven completed the post-intervention survey. All were satisfied with the booklet length, 81.8% found the booklet easy to understand and 72.7% helpful in decision-making Perceived lifetime breast cancer risk decreased significantly from pre- to post-intervention (p = 0.02). Conclusions Results suggest this decision aid, which incorporates key decisional factors from the clinician's perspective, is feasible and acceptable to patients. Innovation A tailored decision aid booklet is innovative as it provides information on personalized risk and potential benefits and harms to older women considering screening.
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Affiliation(s)
- Dejana Braithwaite
- University of Florida Health Cancer Center, Gainesville, FL, United States of America
- Corresponding author at: University of Florida Health Cancer Center, University of Florida, Clinical and Translational Research Building, 2004 Mowry Road, Gainesville, FL 32610, United States of America. (D. Braithwaite)
| | - Anthony Chicaiza
- Georgetown University Medical Center, Washington, DC, United States of America
| | - Katherine Lopez
- Georgetown University Medical Center, Washington, DC, United States of America
| | - Kenneth W. Lin
- Georgetown University Medical Center, Washington, DC, United States of America
| | - Ranit Mishori
- Georgetown University Medical Center, Washington, DC, United States of America
| | - Shama D. Karanth
- University of Florida Health Cancer Center, Gainesville, FL, United States of America
| | - Stephen Anton
- University of Florida Health Cancer Center, Gainesville, FL, United States of America
| | - Kristen Miller
- Georgetown University Medical Center, Washington, DC, United States of America
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, United States of America
| | - Mara A. Schonberg
- Dana Farber Cancer Center, Harvard University, Boston, MA, United States of America
| | - Nancy L. Schoenborn
- Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Suzanne C. O’Neill
- Georgetown University Medical Center, Washington, DC, United States of America
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Wand H, Martschenko DO, Smitherman A, Michelson S, Pun T, Witte JS, Scott SA, Cho MK, Ashley EA. Re-envisioning community genetics: community empowerment in preventive genomics. J Community Genet 2023; 14:459-469. [PMID: 36765027 PMCID: PMC9918397 DOI: 10.1007/s12687-023-00638-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 02/04/2023] [Indexed: 02/12/2023] Open
Abstract
As genomic technologies rapidly develop, polygenic scores (PGS) are entering into a growing conversation on how to improve precision in public health and prevent chronic disease. While the integration of PGS into public health and clinical services raises potential benefits, it also introduces potential harms. In particular, there is a high level of uncertainty about how to incorporate PGS into clinical settings in a manner that is equitable, just, and aligned with the long-term goals of many healthcare systems to support person-centered and value-based care. This paper argues that any conversation about whether and how to design and implement PGS clinical services requires dynamic engagement with local communities, patients, and families. These parties often face the consequences, both positive and negative, of such uncertainties and should therefore drive clinical translation. As a collaborative effort between hospital stakeholders, community partners, and researchers, this paper describes a community-empowered co-design process for addressing uncertainty and making programmatic decisions about the implementation of PGS into clinical services. We provide a framework for others interested in designing clinical programs that are responsive to, and inclusive and respectful of, local communities.
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Affiliation(s)
- Hannah Wand
- Department of Cardiology, Stanford Medicine, Stanford, CA, USA.
- Center for Inherited Cardiovascular Disease, Stanford Health Care, Palo Alto, CA, USA.
- Biomedical Data Science and Genetics (By Courtesy), Stanford Medicine, Stanford, CA, USA.
| | | | | | - Sheryl Michelson
- Patient and Family Partner Program, Stanford Health Care, Palo Alto, CA, USA
| | - Ting Pun
- Patient and Family Partner Program, Stanford Health Care, Palo Alto, CA, USA
| | - John S Witte
- Biomedical Data Science and Genetics (By Courtesy), Stanford Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford Medicine, Stanford, CA, USA
- Stanford Medicine, Stanford Cancer Institute, Stanford, CA, USA
| | - Stuart A Scott
- Department of Pathology, Stanford University, Stanford, CA, USA
- Clinical Genomics Laboratory, Stanford Health Care, Palo Alto, CA, USA
| | - Mildred K Cho
- Stanford Center for Biomedical Ethics, Stanford Medicine, Stanford, CA, USA
| | - Euan A Ashley
- Department of Cardiology, Stanford Medicine, Stanford, CA, USA
- Center for Inherited Cardiovascular Disease, Stanford Health Care, Palo Alto, CA, USA
- Biomedical Data Science and Genetics (By Courtesy), Stanford Medicine, Stanford, CA, USA
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Grimm LJ, Knight JR, Maxfield CM. Patient and radiologist demographics influence perceptions of screening mammogram reports. J Am Coll Radiol 2022; 19:1088-1097. [PMID: 35973651 DOI: 10.1016/j.jacr.2022.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 06/25/2022] [Accepted: 07/01/2022] [Indexed: 10/15/2022]
Abstract
OBJECTIVE To test whether patient and radiologist demographics influence perceptions of screening mammogram reports and the interpreting radiologist. METHODS Patients presenting for breast imaging were surveyed. Demographics were collected and each participant was shown five mock screening mammogram reports with BI-RADS 2 findings, each with a recommendation for one year screening. Each report included a picture of the interpreting radiologist who was Black or white and male or female. Participants were asked seven Likert questions about understanding, satisfaction, and trust in the report and radiologist. Generalized estimating equation ordinal logistic regression compared responses based on participant and radiologist demographics. RESULTS There were 178 women who participated with a mean age of 55.1 ± 10.2 years. Most participants self-identified as white (71%) or Black (20%) and non-Hispanic (98%) with broad educational representation (28% Bachelor's and 28% Master's degree). After controlling for demographics, Black participants reported greater agreement regarding trust in the report's finding (p=0.037) if the radiologist was also Black. Black participants were less likely to be satisfied in the report quality (p=0.043). Additionally, participants without any college education reported lower agreement that they were satisfied with the report quality (p=0.020) and felt the radiologist cares about his/her patients (p=0.037). There were no significant associations for radiologist gender or participant age. DISCUSSION Participant perceptions of screening mammograms and the interpreting radiologist can be influenced by participant and provider race as well as participant education. These findings could have implications for mammography adherence, breast radiologist recruitment, and developing patient centric reports.
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Zhang M, Zhong J, Zhang W, Zhou C, Wang X, Zou W, Wu X, Zhang M. Psychometric Properties of a Simplified Chinese Version of the Cancer Predisposition Perception Scale. Asia Pac J Oncol Nurs 2021; 9:179-184. [PMID: 35494092 PMCID: PMC9052838 DOI: 10.1016/j.apjon.2021.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 10/24/2021] [Indexed: 11/25/2022] Open
Abstract
Objective Cancer predisposition perception refers to the subjective estimation of the likelihood of being diagnosed with cancer in the future. It affects people's behavior concerning cancer screening and prevention. At present, there is no available tool to evaluate cancer predisposition perception. The aim of this study was to translate the cancer predisposition perception scale into simplified Chinese (C-CPPS), and then test its psychometric properties among Chinese patients. Methods In phase I, the CPPS was translated into Chinese, and validated by an expert panel. In phase II, data on reliability and validity was evaluated in terms of construct validity, criterion validity, internal consistency, test–retest reliability, and item-total correlations, with a convenience sample of 208 patients recruited from the colorectal cancer surgical ward. Results The C-CPPS had desirable validity and reliability. The scale-level content validity index was 0.96. Exploratory factor analysis indicated that the six-factor structure of the C-CPPS was good fit to the data. Correlation between the C-CPPS and the Brief Illness Perception Questionnaire was statistically significant. Cronbach's α for the entire scale was 0.90 and 0.71–0.95 for five of the six subscales. Item-total correlations ranged from 0.309 to 0.775, and the intraclass correlation coefficient was 0.97. Conclusions The C-CPPS appears to be culturally appropriate, reliable, and valid for assessing cancer predisposition perception among patients with colorectal cancer in China.
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Hong SJ. Linking environmental risks and cancer risks within the framework of genetic-behavioural causal beliefs, cancer fatalism, and macrosocial worry. HEALTH, RISK & SOCIETY 2020. [DOI: 10.1080/13698575.2020.1852535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Soo Jung Hong
- Department of Communications and New Media, Faculty of Arts and Social Sciences, National University of Singapore, Singapore, Singapore
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