17 datasets found
  1. f

    Distribution of county characteristics by SES and HSS classes, 2010–2012...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jinani Jayasekera; Eberechukwu Onukwugha; Christopher Cadham; Donna Harrington; Sarah Tom; Francoise Pradel; Michael Naslund (2023). Distribution of county characteristics by SES and HSS classes, 2010–2012 SEER 17 combined (N = 611). [Dataset]. http://doi.org/10.1371/journal.pone.0218712.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jinani Jayasekera; Eberechukwu Onukwugha; Christopher Cadham; Donna Harrington; Sarah Tom; Francoise Pradel; Michael Naslund
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Distribution of county characteristics by SES and HSS classes, 2010–2012 SEER 17 combined (N = 611).

  2. f

    Demographics, smoking history and SSc subtype and serology.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte (2023). Demographics, smoking history and SSc subtype and serology. [Dataset]. http://doi.org/10.1371/journal.pone.0117829.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NA- not assessed/availablelcSSc- limited cutaneous systemic sclerosisdcSSc- diffuse cutaneous systemic sclerosisSSc/PPM- Systemic sclerosis and polymyositis overlapACA- anticentromere antibodySCL-70- anti-SCL 70 antibodyRNA Pol- anti-RNA polymerase III antibody* SCL-70 not assessedDemographics, smoking history and SSc subtype and serology.

  3. f

    Tumor characteristics and prognosis.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte (2023). Tumor characteristics and prognosis. [Dataset]. http://doi.org/10.1371/journal.pone.0117829.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NA- not assessed/availableWT: wild typeTumor characteristics and prognosis.

  4. f

    Disparities in Kaposi sarcoma incidence and survival in the United States:...

    • figshare.com
    tiff
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kathryn E. Royse; Firas El Chaer; E. Susan Amirian; Christine Hartman; Susan E. Krown; Thomas S. Uldrick; Jeannette Y. Lee; Zachary Shepard; Elizabeth Y. Chiao (2023). Disparities in Kaposi sarcoma incidence and survival in the United States: 2000-2013 [Dataset]. http://doi.org/10.1371/journal.pone.0182750
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kathryn E. Royse; Firas El Chaer; E. Susan Amirian; Christine Hartman; Susan E. Krown; Thomas S. Uldrick; Jeannette Y. Lee; Zachary Shepard; Elizabeth Y. Chiao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    ObjectiveGeographic and racial disparities may contribute to variation in the incidence and outcomes of HIV-associated cancers in the United States.MethodUsing the Surveillance, Epidemiology, and End Results (SEER) database, we analyzed Kaposi sarcoma (KS) incidence and survival by race and geographic region during the combined antiretroviral therapy era. Reported cases of KS in men from 2000 to 2013 were obtained from 17 SEER cancer registries. Overall and age-standardized KS incidence rates were calculated and stratified by race and geographic region. We evaluated incidence trends using joinpoint analyses and calculated adjusted hazard ratios (aHR) for overall and KS-specific mortality using multivariable Cox proportional hazards models.ResultsOf 4,455 KS cases identified in men younger than 55 years (median age 40 years), the annual percent change (APC) for KS incidence significantly decreased for white men between 2001 and 2013 (APC -4.52, p = 0.02). The APC for AA men demonstrated a non-significant decrease from 2000–2013 (APC -1.84, p = 0.09). Among AA men in the South, however, APC has significantly increased between 2000 and 2013 (+3.0, p = 0.03). In addition, compared with white men diagnosed with KS during the same time period, AA men were also more likely to die from all causes and KS cancer-specific causes (aHR 1.52, 95% CI 1.34–1.72, aHR 1.49, 95% CI 1.30–1.72 respectively).ConclusionAlthough overall KS incidence has decreased in the U.S., geographic and racial disparities in KS incidence and survival exist.

  5. f

    Pulmonary function testing and Computed Tomography findings.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte (2023). Pulmonary function testing and Computed Tomography findings. [Dataset]. http://doi.org/10.1371/journal.pone.0117829.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *Total lung capacity, in all other cases FVC and TLC were similarNSIP- non-specific interstitial pneumoniaUIP- usual interstitial pneumoniaFib nos- fibrosis not otherwise specifiedEMPHY- emphysemaNA- not assessed/availablePulmonary function testing and Computed Tomography findings.

  6. f

    Accumulated case number and age adjusted incidence rate (AAIR) of...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao (2023). Accumulated case number and age adjusted incidence rate (AAIR) of hypopharyngeal squamous carcinoma (HPSCC) during 2004–2019. [Dataset]. http://doi.org/10.1371/journal.pone.0282603.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Accumulated case number and age adjusted incidence rate (AAIR) of hypopharyngeal squamous carcinoma (HPSCC) during 2004–2019.

  7. Multivariate analysis of factors associated survival in patients with...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao (2023). Multivariate analysis of factors associated survival in patients with distant metastatic hypopharyngeal squamous cell carcinoma. [Dataset]. http://doi.org/10.1371/journal.pone.0282603.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multivariate analysis of factors associated survival in patients with distant metastatic hypopharyngeal squamous cell carcinoma.

  8. Multivariate analysis of factors associated with survival in patients with...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao (2023). Multivariate analysis of factors associated with survival in patients with early stage hypopharyngeal squamous cell carcinoma. [Dataset]. http://doi.org/10.1371/journal.pone.0282603.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multivariate analysis of factors associated with survival in patients with early stage hypopharyngeal squamous cell carcinoma.

  9. Clinicopathological characteristics of patients with HPSCC by stage...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao (2023). Clinicopathological characteristics of patients with HPSCC by stage diagnosed during 2004–2019. [Dataset]. http://doi.org/10.1371/journal.pone.0282603.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Clinicopathological characteristics of patients with HPSCC by stage diagnosed during 2004–2019.

  10. f

    Three- and five- year survival rates in patients with hypopharyngeal...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao (2023). Three- and five- year survival rates in patients with hypopharyngeal squamous cell carcinoma diagnosed during 2004–2019. [Dataset]. http://doi.org/10.1371/journal.pone.0282603.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Three- and five- year survival rates in patients with hypopharyngeal squamous cell carcinoma diagnosed during 2004–2019.

  11. f

    Multivariate Cox analysis from the SEER 18 database for patients stratified...

    • figshare.com
    xls
    Updated May 30, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shohreh Shahabi; Shiquan He; Michael Kopf; Marisa Mariani; Joann Petrini; Giovanni Scambia; Cristiano Ferlini (2023). Multivariate Cox analysis from the SEER 18 database for patients stratified for age range 17–61. [Dataset]. http://doi.org/10.1371/journal.pone.0061955.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Shohreh Shahabi; Shiquan He; Michael Kopf; Marisa Mariani; Joann Petrini; Giovanni Scambia; Cristiano Ferlini
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *HR = Hazard Ratio **CI = Confidence Interval.

  12. f

    Racial disparity of clinicopathological features in HPSCC patients diagnosed...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao (2023). Racial disparity of clinicopathological features in HPSCC patients diagnosed during 2004–2015. [Dataset]. http://doi.org/10.1371/journal.pone.0282603.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Zhong Liang; Meijuan Wu; Peng Wang; Huatao Quan; Jianqiang Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Racial disparity of clinicopathological features in HPSCC patients diagnosed during 2004–2015.

  13. f

    Results of univariable analysis for both OS and CSS among newly diagnosed...

    • plos.figshare.com
    xls
    Updated Jul 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wangyan Zhong; Hang Yuan; Ting Li; Xueying Jin (2025). Results of univariable analysis for both OS and CSS among newly diagnosed NSCLC patients aged ≥ 65 years in the SEER-17 database. [Dataset]. http://doi.org/10.1371/journal.pone.0327458.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Wangyan Zhong; Hang Yuan; Ting Li; Xueying Jin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Results of univariable analysis for both OS and CSS among newly diagnosed NSCLC patients aged ≥ 65 years in the SEER-17 database.

  14. f

    Subgroup analysis of both OS and CSS among patients aged ≥65 years with...

    • plos.figshare.com
    xls
    Updated Jul 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wangyan Zhong; Hang Yuan; Ting Li; Xueying Jin (2025). Subgroup analysis of both OS and CSS among patients aged ≥65 years with newly diagnosed stage III inoperable NSCLC treated with RT alone or RT + CT in the SEER-17 database. [Dataset]. http://doi.org/10.1371/journal.pone.0327458.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Wangyan Zhong; Hang Yuan; Ting Li; Xueying Jin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Subgroup analysis of both OS and CSS among patients aged ≥65 years with newly diagnosed stage III inoperable NSCLC treated with RT alone or RT + CT in the SEER-17 database.

  15. f

    Baseline characteristics of prostate cancer patients with bone metastases,...

    • plos.figshare.com
    xls
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Xinxing Zhang; Yuxuan Wang (2025). Baseline characteristics of prostate cancer patients with bone metastases, 17 SEER registries, 2010-2021. [Dataset]. http://doi.org/10.1371/journal.pone.0326429.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Xinxing Zhang; Yuxuan Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Baseline characteristics of prostate cancer patients with bone metastases, 17 SEER registries, 2010-2021.

  16. f

    12, 36-, and 60-month cancer-specific and overall survival rates in prostate...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Xinxing Zhang; Yuxuan Wang (2025). 12, 36-, and 60-month cancer-specific and overall survival rates in prostate cancer patients with bone metastasis, 17 SEER registries, 2010–2021. [Dataset]. http://doi.org/10.1371/journal.pone.0326429.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Xinxing Zhang; Yuxuan Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    12, 36-, and 60-month cancer-specific and overall survival rates in prostate cancer patients with bone metastasis, 17 SEER registries, 2010–2021.

  17. f

    Supplementary Material for: Variations in Characteristics and Clinical...

    • karger.figshare.com
    docx
    Updated Feb 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    figshare admin karger; Yu X.; Xu L.; Zhang S.; Pan P.; Xia Y. (2025). Supplementary Material for: Variations in Characteristics and Clinical Outcomes of Esophageal Squamous Cell Carcinoma Among Asian American [Dataset]. http://doi.org/10.6084/m9.figshare.28481027.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    Karger Publishers
    Authors
    figshare admin karger; Yu X.; Xu L.; Zhang S.; Pan P.; Xia Y.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Introduction: Research on esophageal squamous cell carcinoma (ESCC) in Asian American (AsA) populations frequently aggregates data, thereby overlooking the considerable diversity inherent within this demographic. The aim of this study was to investigate the variations in ESCC characteristics and clinical outcomes among AsA. Methods: Patients diagnosed with ESCC were identified through the Surveillance, Epidemiology, and End Results (SEER) 17 database. The AsA cohort was categorized into specific subgroups: Chinese, Japanese, Filipino, Korean, Vietnamese, South Asian (Asian Indian or Pakistani), and other Asian. The Kaplan-Meier method was employed to estimate unadjusted overall survival (OS), while Cox proportional hazards models were utilized to assess adjusted OS. Results: A total of 9,252 patients were included, with the cohort comprising 1,100 Asian, 2,135 Black, 951 Hispanic, and 5,066 White individuals. AsA patients demonstrated the highest unadjusted OS (P < .001). The Vietnamese subgroup exhibited the highest proportion of male patients at 92.1%. South Asian patients showed the highest unadjusted OS among the distinct Asian subgroups, with survival rates of 56% at one year (95% CI 49–64), 31% at three years (95% CI 25–40), and 23% at five years (95% CI 17–32). After adjusting, only Chinese and South Asian patients displayed significantly improved OS compared to the White reference group (P < .05). Conclusion: Considerable disparities in ESCC characteristics and outcomes exist among AsA populations. Socioeconomic, genetic, and epigenetic factors may influence these differences. Further research is essential to clarify the mechanisms of this discrepancy.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Jinani Jayasekera; Eberechukwu Onukwugha; Christopher Cadham; Donna Harrington; Sarah Tom; Francoise Pradel; Michael Naslund (2023). Distribution of county characteristics by SES and HSS classes, 2010–2012 SEER 17 combined (N = 611). [Dataset]. http://doi.org/10.1371/journal.pone.0218712.t002

Distribution of county characteristics by SES and HSS classes, 2010–2012 SEER 17 combined (N = 611).

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 2, 2023
Dataset provided by
PLOS ONE
Authors
Jinani Jayasekera; Eberechukwu Onukwugha; Christopher Cadham; Donna Harrington; Sarah Tom; Francoise Pradel; Michael Naslund
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Distribution of county characteristics by SES and HSS classes, 2010–2012 SEER 17 combined (N = 611).

Search
Clear search
Close search
Google apps
Main menu