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Barbaresso R, Qasba N, Knee A, Benabou K. Racial Disparities in Surgical Treatment of Uterine Fibroids During the COVID-19 Pandemic. J Womens Health (Larchmt) 2024; 33:1085-1094. [PMID: 38629437 DOI: 10.1089/jwh.2023.0826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024] Open
Abstract
Objective: Analyze the association between race and surgery performed for uterine fibroids during the coronavirus disease 2019 (COVID-19) pandemic. Methods: Retrospective exploratory cross-sectional study of patients with fibroids who underwent surgery during the COVID-19 pandemic. We compared the type of surgery performed (minimally invasive hysterectomy [MIH], uterine-sparing procedure [USP], or total abdominal hysterectomy [TAH]) by White versus non-White patients. Absolute percentage differences were estimated with multinomial logistic regression adjusting for age, body mass index (BMI), parity, comorbidities, and maximum fibroid diameter. Results: Of 350 subjects, the racial composition was 1.7% Asian, 23.4% Black, and 74.9% White. Non-White patients had greater fibroid burden by mean maximum fibroid diameter, mean uterine weight, and mean fibroid weight. Although MIH occurred more frequently among White patients (7.5% points higher [95% confidence interval (CI) = -3.1 to 18.2]), USP and TAH were more commonly conducted for non-White patients (3.4% points higher [95% CI = -10.4 to 3.6] and 4.2% points higher [95% CI = -13.2 to 4.8], respectively). The overall complication rate was 18.6%, which was 6% points lower (95% CI = -15.8 to 3.7) among White patients. Conclusion: During the COVID-19 pandemic at a single-site institution, non-White patients were more likely to undergo a uterine-sparing procedure for surgical treatment of uterine fibroids, abdominal procedures, including both hysterectomy and myomectomy, and experience surgery-related complications.
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Affiliation(s)
- Rebecca Barbaresso
- Division of Obstetrics and Gynecology, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Neena Qasba
- Division of Obstetrics and Gynecology, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Alexander Knee
- Epidemiology/Biostatistics Research Core, Office of Research, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Kelly Benabou
- Division of Obstetrics and Gynecology, Baystate Medical Center, Springfield, Massachusetts, USA
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Cioffi G, Waite KA, Price M, Neff C, Kruchko C, Ostrom QT, Barnholtz-Sloan JS. The impact of COVID-19 on 2020 monthly incidence trends of primary brain and other CNS tumors. Neuro Oncol 2024; 26:764-774. [PMID: 38167948 PMCID: PMC10995517 DOI: 10.1093/neuonc/noad235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND To mitigate disease spread, restrictions implemented in the United States surrounding the COVID-19 pandemic created an environment that led to delays in cancer diagnosis. The data needed to accurately analyze the impact of the pandemic on brain and CNS tumor incidence has not been available until now. Utilizing incidence data from the Central Brain Tumor Registry of the United States (CBTRUS) we analyzed the impact of the COVID-19 pandemic on primary brain and other CNS tumor incidence for the first year of the pandemic. METHODS Monthly age-adjusted incidence rates and incidence trends for 2019 and 2020 were determined for age at diagnosis, sex, race, ethnicity, diagnostic confirmation, behavior, tumor histopathology, and county-level urbanization. Monthly incidence rate ratios comparing 2020 and 2019 were evaluated for the same factors. RESULTS Overall, there was a notable decrease in incidence rates in March-May 2020 when compared to 2019. These decreases were driven by nonmalignant tumors, with a 50% incidence decrease between March 2020 and 2019. Individuals who were Black had a larger incidence decrease in early 2020 than individuals who were White. Radiographically confirmed tumors saw larger incidence decreases than histologically confirmed tumors. There were no changes in monthly incidence of glioblastoma in 2020 compared to 2019. CONCLUSIONS These data provide evidence that disruptions in medical care, such as governmental and health care mandates, in response to the COVID-19 pandemic resulted in an overall decreased incidence of primary brain tumors in early 2020.
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Affiliation(s)
- Gino Cioffi
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Kristin A Waite
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Mackenzie Price
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Corey Neff
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Quinn T Ostrom
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
- The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, North Carolina, USA
| | - Jill S Barnholtz-Sloan
- Trans Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland, USA
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Zhao J, Chen R, Zhang Y, Wang Y, Zhu H. Impact of Treatment Delay on the Prognosis of Patients with Ovarian Cancer: A Population-based Study Using the Surveillance, Epidemiology, and End Results Database. J Cancer 2024; 15:473-483. [PMID: 38169558 PMCID: PMC10758034 DOI: 10.7150/jca.87881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/22/2023] [Indexed: 01/05/2024] Open
Abstract
Purpose: This study aimed to assess the impact of treatment delay on prognosis in patients with ovarian cancer. Methods: A retrospective analysis of patients with ovarian cancer in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 was performed. Chi-square tests were used to assess baseline differences. The Kaplan-Meier method was used to evaluate the effect of different treatment intervals on survival outcomes in patients. Cox regression analyses were used to identify independent factors associated with ovarian cancer prognosis. Results: Of the 21,590 patients included, 15,675 (72.6%), 5,582 (25.9%), and 333 (1.54%) were classified into the immediate-treatment (<1 month after diagnosis), intermediate-delay (1-2 month delayed), and long-delay groups (≥3 months delayed), respectively. The 5-year probability of overall survival (OS) was 61.4% in the immediate-treatment group, decreasing to 36.4% and 34.8% in the intermediate- and long-delay groups, respectively. Similar survival differences were also reflected in cancer-specific survival (CSS), with 5-year CSS probabilities of 66.7%, 42.6%, and 41.8% in the aforementioned groups, respectively. Patients in the intermediate-delay group showed poorer OS (adjusted hazard ratio [HR], 1.06; 95% confidence interval [CI], 1.02-1.11; p=0.006) and CSS (adjusted HR, 1.06; 95% CI, 1.01-1.11; p=0.012) than immediate-treatment group. Conclusions: Patients with delayed treatment had poorer OS and CSS. The patient's waiting time from diagnosis to initial treatment should be within 1 month.
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Affiliation(s)
| | | | | | - Yu Wang
- Department of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Haiyan Zhu
- Department of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
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Guével E, Priou S, Lamé G, Wassermann J, Bey R, Uzan C, Chatellier G, Belkacemi Y, Tannier X, Guillerm S, Flicoteaux R, Gligorov J, Cohen A, Benderra M, Teixeira L, Daniel C, Hersant B, Tournigand C, Kempf E. Impact of the COVID-19 pandemic on clinical presentation, treatments, and outcomes of new breast cancer patients: A retrospective multicenter cohort study. Cancer Med 2023; 12:20918-20929. [PMID: 37909210 PMCID: PMC10709737 DOI: 10.1002/cam4.6637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/14/2023] [Accepted: 10/04/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND The SARS CoV-2 pandemic disrupted healthcare systems. We compared the cancer stage for new breast cancers (BCs) before and during the pandemic. METHODS We performed a retrospective multicenter cohort study on the data warehouse of Greater Paris University Hospitals (AP-HP). We identified all female patients newly referred with a BC in 2019 and 2020. We assessed the timeline of their care trajectories, initial tumor stage, and treatment received: BC resection, exclusive systemic therapy, exclusive radiation therapy, or exclusive best supportive care (BSC). We calculated patients' 1-year overall survival (OS) and compared indicators in 2019 and 2020. RESULTS In 2019 and 2020, 2055 and 1988, new BC patients underwent cancer treatment, and during the two lockdowns, the BC diagnoses varied by -18% and by +23% compared to 2019. De novo metastatic tumors (15% and 15%, p = 0.95), pTNM and ypTNM distributions of 1332 cases with upfront resection and of 296 cases with neoadjuvant therapy did not differ (p = 0.37, p = 0.3). The median times from first multidisciplinary meeting and from diagnosis to treatment of 19 days (interquartile 11-39 days) and 35 days (interquartile 22-65 days) did not differ. Access to plastic surgery (15% and 17%, p = 0.08) and to treatment categories did not vary: tumor resection (73% and 72%), exclusive systemic therapy (13% and 14%), exclusive radiation therapy (9% and 9%), exclusive BSC (5% and 5%) (p = 0.8). Among resected patients, the neoadjuvant therapy rate was lower in 2019 (16%) versus 2020 (20%) (p = 0.02). One-year OS rates were 99.3% versus 98.9% (HR = 0.96; 95% CI, 0.77-1.2), 72.6% versus 76.6% (HR = 1.28; 95% CI, 0.95-1.72), 96.6% versus 97.8% (HR = 1.09; 95% CI, 0.61-1.94), and 15.5% versus 15.1% (HR = 0.99; 95% CI, 0.72-1.37), in the treatment groups. CONCLUSIONS Despite a decrease in the number of new BCs, there was no tumor stage shift, and OS did not vary.
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Affiliation(s)
- Etienne Guével
- Assistance Publique–Hôpitaux de Paris, Innovation and Data, IT DepartmentParisFrance
| | - Sonia Priou
- Assistance Publique–Hôpitaux de Paris, Innovation and Data, IT DepartmentParisFrance
- CentraleSupélec, Laboratoire Génie IndustrielUniversité Paris‐SaclayGif‐sur‐YvetteFrance
| | - Guillaume Lamé
- CentraleSupélec, Laboratoire Génie IndustrielUniversité Paris‐SaclayGif‐sur‐YvetteFrance
| | - Johanna Wassermann
- Assistance Publique–Hôpitaux de Paris, Department of medical oncology, Pitié Salpétrière University HospitalSorbonne UniversitéParisFrance
- Assistance Publique–Hôpitaux de Paris, Institut Universitaire de cancérologieSorbonne UniversitéParisFrance
| | - Romain Bey
- Assistance Publique–Hôpitaux de Paris, Innovation and Data, IT DepartmentParisFrance
| | - Catherine Uzan
- Assistance Publique–Hôpitaux de Paris, Institut Universitaire de cancérologieSorbonne UniversitéParisFrance
- Assistance Publique–Hôpitaux de Paris, Department of gynecology, Pitié Salpétrière University HospitalSorbonne UniversitéParisFrance
| | - Gilles Chatellier
- Department of medical informatics, Assistance Publique Hôpitaux de Paris, Centre‐Université de Paris (APHP‐CUP)Université Paris CItéParisFrance
| | - Yazid Belkacemi
- Assistance Publique–Hôpitaux de Paris, Department of Radiation Oncology and Henri Mondor Breast Center, Henri Mondor and Albert Chenevier University HospitalUniversité Paris Est CréteilCréteilFrance
| | - Xavier Tannier
- Sorbonne University Inserm, Université Sorbonne Paris Nord, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e‐Santé, LIMICSParisFrance
| | - Sophie Guillerm
- Assistance Publique–Hôpitaux de Paris, Department of radiation therapy, Saint Louis University HospitalUniversité Paris CitéCréteilFrance
| | - Rémi Flicoteaux
- Assistance Publique–Hôpitaux de ParisDepartment of medical informationParisFrance
| | - Joseph Gligorov
- Assistance Publique–Hôpitaux de Paris, Institut Universitaire de cancérologieSorbonne UniversitéParisFrance
- Assistance Publique–Hôpitaux de Paris, Department of medical oncology, Tenon University HospitalSorbonne UniversitéParisFrance
| | - Ariel Cohen
- Assistance Publique–Hôpitaux de Paris, Innovation and Data, IT DepartmentParisFrance
| | - Marc‐Antoine Benderra
- Assistance Publique–Hôpitaux de Paris, Institut Universitaire de cancérologieSorbonne UniversitéParisFrance
- Assistance Publique–Hôpitaux de Paris, Department of medical oncology, Tenon University HospitalSorbonne UniversitéParisFrance
| | - Luis Teixeira
- Assistance Publique–Hôpitaux de Paris, Department of senology, Saint Louis Teaching HospitalUniversité Paris CitéParisFrance
| | - Christel Daniel
- Assistance Publique–Hôpitaux de Paris, Innovation and Data, IT DepartmentParisFrance
- Sorbonne University Inserm, Université Sorbonne Paris Nord, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e‐Santé, LIMICSParisFrance
| | - Barbara Hersant
- Assistance Publique – Hôpitaux de Paris, Department of plastic surgery, Henri Mondor and Albert Chenevier University HospitalUniversité Paris Est CréteilCréteilFrance
| | - Christophe Tournigand
- Assistance Publique – Hôpitaux de Paris, Department of medical oncology, Henri Mondor and Albert Chenevier University HospitalUniversité Paris Est CréteilCréteilFrance
| | - Emmanuelle Kempf
- Sorbonne University Inserm, Université Sorbonne Paris Nord, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e‐Santé, LIMICSParisFrance
- Assistance Publique – Hôpitaux de Paris, Department of medical oncology, Henri Mondor and Albert Chenevier University HospitalUniversité Paris Est CréteilCréteilFrance
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Tang P, Ai X, Wang M, Hu Y, Pan Q, Jiang J. Experience with the safe admission of breast and thyroid cancer patients in non-endemic areas during an epidemic outbreak. Front Oncol 2023; 13:1220518. [PMID: 37781204 PMCID: PMC10534036 DOI: 10.3389/fonc.2023.1220518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/29/2023] [Indexed: 10/03/2023] Open
Abstract
Background The outbreaks of infectious diseases, such as coronavirus disease 2019 (COVID-19), have seriously affected the normal work and life of the public, as well as the normal diagnosis and treatment of other diseases due to their strong infectivity, high population susceptibility, and diverse clinical manifestations. Breast and thyroid specialists in non-hotspot epidemic areas of COVID-19 must consider factors, including epidemic prevention and control, breast and thyroid cancers and diseases diagnosis and treatment, and access to medical resources to make a reasonable treatment choice and optimize the treatment process. Methods A cohort study was designed under our center's epidemic prevention and control strategy. The study was conducted between February 3 and April 19, 2020, to explore the safety of clinical diagnosis and treatment of breast and thyroid cancer patients during the epidemic. All the outpatients, inpatients, day-time chemotherapy patients, targeted therapy patients, and relevant medical staff in the observation period in the Department of Breast and Thyroid Surgery in Southwest Hospital in Chongqing municipality, China, were included to investigate the detection and infection rate of COVID-19 and suspected patients. Results During the observation period, 27,117 patients were admitted to the outpatient unit. We performed 394 inpatient surgeries and 411 day-time surgeries. In our center, 1,046 and 663 patients received day-time chemotherapy and targeted therapy, respectively. All the patients were diagnosed and treated promptly and safely. Three suspected COVID-19 patients were identified in the outpatient unit. Healthcare staff achieved a "zero" infection of COVID-19. Conclusion The spread and cross-infection of COVID-19 can be avoided in non-hotspot epidemic areas based on scientific prevention and control, and cancer patients can be diagnosed and treated on time. The prevention and control measure implemented in the COVID-19 epidemic for diagnosing and treating cancer patients was effective and can be referenced for other infectious disease outbreaks.
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Affiliation(s)
- Peng Tang
- Breast Disease Center, Southwest Hospital, The Army Military Medical University, Chongqing, China
| | - Xiang Ai
- Department of Thyroid and Breast Surgery, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Minghao Wang
- Breast Disease Center, Southwest Hospital, The Army Military Medical University, Chongqing, China
| | - Ying Hu
- Breast Disease Center, Southwest Hospital, The Army Military Medical University, Chongqing, China
| | - Qinwen Pan
- Breast Disease Center, Southwest Hospital, The Army Military Medical University, Chongqing, China
| | - Jun Jiang
- Breast Disease Center, Southwest Hospital, The Army Military Medical University, Chongqing, China
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Seo SH, Cho S, Yoo SH, Keam B, Shin A. Changes in the Utilization of Health Care Services by Cancer Patients during the COVID-19 Pandemic. Yonsei Med J 2023; 64:463-470. [PMID: 37365741 DOI: 10.3349/ymj.2023.0014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/01/2023] [Accepted: 05/08/2023] [Indexed: 06/28/2023] Open
Abstract
PURPOSE The first year of the COVID-19 pandemic in Korea elicited changes in healthcare service utilization. This study aimed to report changes in healthcare service utilization among cancer patients during the first year of the COVID-19 pandemic in Korea. MATERIALS AND METHODS We analyzed records from National Health Insurance Service Database and identified cancer patients as those with specific beneficiary codes ("V193" or "V194") assigned to cancer patients. We calculated percentage changes in the number of patients between 2019 and 2020 based on claims records for outpatient clinic visits, hospitalization, and emergency room visits by month, age group, residential areas, and hospital location. RESULTS The number of newly diagnosed cancer patients in 2020 decreased by 3.2%, compared to the previous year. The number of patients who visited an outpatient clinic, were hospitalized, and visited the emergency room decreased by 2.6%, 4.0%, and 3.5%, respectively, in 2020, compared to the year 2019. CONCLUSION During the first year of the COVID-19 pandemic, the number of newly diagnosed cancer patients decreased by 3.2%, compared to the previous year, and their utilization of healthcare services declined significantly after the outbreak of COVID-19.
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Affiliation(s)
- Seung Hee Seo
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Interdisciplinary Program in Cancer Biology Major, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
| | - Sooyoung Cho
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Medical Research Center, Genomic Medicine Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Shin Hye Yoo
- Center for Palliative Care and Clinical Ethics, Seoul National University Hospital, Seoul, Korea
| | - Bhumsuk Keam
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Aesun Shin
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Interdisciplinary Program in Cancer Biology Major, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
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Cigarini F, Daolio J, Caviola G, Pellegri C, Cavuto S, Guberti M, Mazzini E, Cerullo L. Impact of COVID-19 on cancer care pathways in a comprehensive cancer center in northern Italy. Front Public Health 2023; 11:1187912. [PMID: 37333533 PMCID: PMC10275360 DOI: 10.3389/fpubh.2023.1187912] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
The COVID-19 pandemic burdened health care systems worldwide. Health services were reorganized with the dual purpose of ensuring the most adequate continuity of care and, simultaneously, the safety of patients and health professionals. The provision of care to patients within cancer care pathways (cCPs) was not touched by such reorganization. We investigated whether the quality of care provided by a local comprehensive cancer center has been maintained using cCP indicators. A retrospective single-cancer center study was conducted on eleven cCPs from 2019 to 2021 by comparing three timeliness indicators, five care indicators and three outcome indicators yearly calculated on incident cases. Comparisons of indicators between 2019 and 2020, and 2019 and 2021, were performed to assess the performance of cCP function during the pandemic. Indicators displayed heterogeneous significant changes attributed to all cCPs over the study period, affecting eight (72%), seven (63%) and ten (91%) out of eleven cCPs in the comparison between 2019 and 2020, 2020 and 2021, and 2019 and 2021, respectively. The most relevant changes were attributed to a negative increase in time-to-treatment surgery-related indicators and to a positive increase in the number of cases discussed by cCP team members. No variations were found attributed to outcome indicators. Significant changes did not account for clinical relevance once discussed by cCP managers and team members. Our experience demonstrated that the CP model constitutes an appropriate tool for providing high levels of quality care, even in the most critical health situations.
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Affiliation(s)
- Francesca Cigarini
- Quality and Accreditation Office, Medical Directorate, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Jessica Daolio
- Quality and Accreditation Office, Medical Directorate, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giada Caviola
- Quality and Accreditation Office, Medical Directorate, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Carlotta Pellegri
- Quality and Accreditation Office, Medical Directorate, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Silvio Cavuto
- Clinical Trials and Statistics Unit, S.C. Infrastructure, Research and Statistics, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Monica Guberti
- Health Professions Department, Research and EBP Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Elisa Mazzini
- Medical Directorate Hospital Network, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Loredana Cerullo
- Quality and Accreditation Office, Medical Directorate, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
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Min Y, Liu Z, Huang R, Li R, Jin J, Wei Z, He L, Pei Y, Li N, Su Y, Hu X, Peng X. Survival outcomes following treatment delays among patients with early-stage female cancers: a nationwide study. J Transl Med 2022; 20:560. [PMID: 36463201 PMCID: PMC9719121 DOI: 10.1186/s12967-022-03719-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/21/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) severely hindered the timely receipt of health care for patients with cancer, especially female patients. Depression and anxiety were more pronounced in female patients than their male counterparts with cancer during treatment wait-time intervals. Herein, investigating the impact of treatment delays on the survival outcomes of female patients with early-stage cancers can enhance the rational and precise clinical decisions of physicians. METHODS We analyzed five types of cancers in women from the Surveillance, Epidemiology, and End Results (SEER) program between Jan 2010 and Dec 2015. Univariate and multivariate Cox regression analyses were used to determine the impacts of treatment delays on the overall survival (OS) and cancer-specific survival (CSS) of the patients. RESULTS A total of 241,661 females with early-stage cancer were analyzed (12,617 cases of non-small cell lung cancer (NSCLC), 166,051 cases of infiltrating breast cancer, 31,096 cases of differentiated thyroid cancer, 23,550 cases of colorectal cancer, and 8347 cases of cervical cancer). Worse OS rates were observed in patients with treatment delays ≥ 3 months in stage I NSCLC (adjustedHazard ratio (HR) = 1.11, 95% Confidence Interval (CI): 1.01-1.23, p = 0.044) and stage I infiltrating breast cancer (adjustedHR = 1.23, 95% CI 1.11-1.37, p < 0.001). When the treatment delay intervals were analyzed as continuous variables, similar results were observed in patients with stage I NSCLC (adjustedHR = 1.04, 95% CI 1.01-1.06, p = 0.010) and in those with stage I breast cancer (adjustedHR = 1.03, 95% CI 1.00-1.06, p = 0.029). However, treatment delays did not reduce the OS of patients with differentiated thyroid cancer, cervical cancer, or colorectal cancer in the early-stage. Only intermediate treatment delays impaired the CSS of patients with cervical cancer in stage I (adjustedHR = 1.31, 95% CI 1.02-1.68, p = 0.032). CONCLUSION After adjusting for confounders, the prolonged time from diagnosis to the initiation of treatment (< 6 months) showed limited negative effects on the survival of most of the patients with early-stage female cancers. Whether our findings serve as evidence supporting the treatment deferral decisions of clinicians for patients with different cancers in resource-limited situations needs further validation.
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Affiliation(s)
- Yu Min
- grid.13291.380000 0001 0807 1581Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Zheran Liu
- grid.13291.380000 0001 0807 1581Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Rendong Huang
- grid.506977.a0000 0004 1757 7957School of Nursing, Hangzhou Medical College, Hangzhou, Zhejiang China
| | - Ruidan Li
- grid.13291.380000 0001 0807 1581Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Jing Jin
- grid.13291.380000 0001 0807 1581Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Zhigong Wei
- grid.13291.380000 0001 0807 1581Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Ling He
- grid.13291.380000 0001 0807 1581Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Yiyan Pei
- grid.13291.380000 0001 0807 1581Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Ning Li
- grid.410745.30000 0004 1765 1045Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu China
| | - Yongllin Su
- grid.13291.380000 0001 0807 1581Department of Rehabilitation, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Xiaolin Hu
- grid.13291.380000 0001 0807 1581West China School of Nursing, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
| | - Xingchen Peng
- grid.13291.380000 0001 0807 1581Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China
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Ayaki M, Negishi K. The ocular symptoms and signs during the COVID-19 pandemic. PLoS One 2022; 17:e0276435. [PMID: 36264910 PMCID: PMC9584361 DOI: 10.1371/journal.pone.0276435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 10/06/2022] [Indexed: 11/05/2022] Open
Abstract
PURPOSE The aim of this cohort study was to describe the change in ocular surface signs and symptoms before and during the COVID-19 pandemic, and to associate changes with potential pandemic-related events. METHODS First-visit patients from 2019 to 2021 were examined for corneal staining, lacrimal function and refraction. We assessed the presence of seven common ocular symptoms. Patients with glaucoma and macular disease were excluded. Dry eye (DE) was diagnosed according to the criteria of the Asia Dry Eye Society. RESULTS The mean age of 3,907 participants was 59.6±18.6y and 63.8% were female. Mean age and the prevalence of diagnosed DE and shortened tear break-up time decreased from 2019 to 2021. The prevalence of eye fatigue, blurring and photophobia decreased in 2020. CONCLUSIONS The prevalence of diagnosed DE did not increase among first-visit patients during the pandemic compared with 2019, despite many survey results suggesting that DE may have worsened due to frequent masking, increased screen time, mental stress, and depression under quarantine and social infection control. It might be considered however, that many elderly DE patients might have refrained from consulting an ophthalmologist and possibly delayed treatment of DE during the pandemic.
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Affiliation(s)
- Masahiko Ayaki
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
- Otake Clinic Moon View Eye Center, Kanagawa, Japan
- * E-mail:
| | - Kazuno Negishi
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
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