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  1. Article ; Online: Association between dermatology follow-up and melanoma survival: A population-based cohort study.

    Huang, Yuanshen / Fleming, Patrick / Fung, Kinwah / Chan, An-Wen

    Journal of the American Academy of Dermatology

    2024  

    Abstract: Background: Guidelines recommend that patients with melanoma undergo dermatologic examination at least annually. Adherence to follow-up and its impact on survival are unclear.: Objective: To determine the level of adherence to annual dermatologic ... ...

    Abstract Background: Guidelines recommend that patients with melanoma undergo dermatologic examination at least annually. Adherence to follow-up and its impact on survival are unclear.
    Objective: To determine the level of adherence to annual dermatologic follow-up in patients with primary cutaneous melanoma, identify predictors for better adherence, and evaluate whether adherence was associated with melanoma-related mortality.
    Methods: Retrospective inception cohort analysis of adults with primary invasive melanoma in Ontario, Canada from 2010 to 2013 with follow-up until December 31, 2018.
    Results: Adherence to dermatologic follow-up was variable with only 28.0% of patients seeing a dermatologist at least annually (median follow-up 5.0 years). Younger age, female sex, higher income, greater access to dermatology care, stage 2/3 melanoma, prior keratinocyte carcinoma, fewer comorbidities, and any outpatient visit in the 12 months prior to melanoma diagnosis were predictors for adherence. Greater adherence to annual dermatology visits was associated with reduced melanoma-specific mortality compared with lower levels of adherence (adjusted hazard ratio 0.64, 95% CI 0.52-0.78).
    Limitations: Observational study design and inability to identify skin examinations performed by non-dermatologists.
    Conclusion: Adherence to annual dermatology visits after melanoma diagnosis was low. Greater adherence may promote better patient survival but warrants confirmation in further research including randomized trials.
    Language English
    Publishing date 2024-02-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603641-7
    ISSN 1097-6787 ; 0190-9622
    ISSN (online) 1097-6787
    ISSN 0190-9622
    DOI 10.1016/j.jaad.2024.02.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The authors reply to: "Antihypertensives and skin cancer" and "Association between thiazide diuretics and skin cancer: still nebulous".

    Drucker, Aaron M / Chan, An-Wen

    CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

    2021  Volume 193, Issue 25, Page(s) E964

    MeSH term(s) Antihypertensive Agents/adverse effects ; Humans ; Hypertension/drug therapy ; Skin Neoplasms/drug therapy ; Sodium Chloride Symporter Inhibitors/adverse effects
    Chemical Substances Antihypertensive Agents ; Sodium Chloride Symporter Inhibitors
    Language English
    Publishing date 2021-05-24
    Publishing country Canada
    Document type Letter ; Comment
    ZDB-ID 215506-0
    ISSN 1488-2329 ; 0008-4409 ; 0820-3946
    ISSN (online) 1488-2329
    ISSN 0008-4409 ; 0820-3946
    DOI 10.1503/cmaj.79145
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Top 10 research priorities for basal cell carcinoma: results of the Skin Investigation Network of Canada Priority Setting Initiative.

    Shoimer, Ilya / Kleiner, Omer / Manion, Rachael / Dutz, Jan / Philip, Anie / Chan, An-Wen

    The British journal of dermatology

    2024  Volume 190, Issue 2, Page(s) 276–277

    MeSH term(s) Humans ; Canada ; Biomedical Research ; Carcinoma, Basal Cell ; Health Priorities
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 80076-4
    ISSN 1365-2133 ; 0007-0963
    ISSN (online) 1365-2133
    ISSN 0007-0963
    DOI 10.1093/bjd/ljad391
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Repair of a Large Infraorbital Cheek Defect.

    Mistry, Bhavik / Morand, Meggie / Liu, Michael / Chan, An-Wen

    Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.

    2023  Volume 50, Issue 5, Page(s) 477–479

    MeSH term(s) Humans ; Cheek/surgery ; Mohs Surgery ; Skin Neoplasms/surgery ; Skin Neoplasms/pathology ; Facial Neoplasms/surgery ; Carcinoma, Basal Cell/surgery ; Male ; Surgical Flaps ; Female ; Aged ; Plastic Surgery Procedures/methods
    Language English
    Publishing date 2023-11-10
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 1227586-4
    ISSN 1524-4725 ; 1076-0512
    ISSN (online) 1524-4725
    ISSN 1076-0512
    DOI 10.1097/DSS.0000000000004021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Guidelines for reporting pediatric and child health clinical trial protocols and reports: study protocol for SPIRIT-Children and CONSORT-Children.

    Baba, Ami / Smith, Maureen / Potter, Beth K / Chan, An-Wen / Moher, David / Offringa, Martin

    Trials

    2024  Volume 25, Issue 1, Page(s) 96

    Abstract: Background: Despite the critical importance of clinical trials to provide evidence about the effects of intervention for children and youth, a paucity of published high-quality pediatric clinical trials persists. Sub-optimal reporting of key trial ... ...

    Abstract Background: Despite the critical importance of clinical trials to provide evidence about the effects of intervention for children and youth, a paucity of published high-quality pediatric clinical trials persists. Sub-optimal reporting of key trial elements necessary to critically appraise and synthesize findings is prevalent. To harmonize and provide guidance for reporting in pediatric controlled clinical trial protocols and reports, reporting guideline extensions to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) and Consolidated Standards of Reporting Trials (CONSORT) guidelines specific to pediatrics are being developed: SPIRIT-Children (SPIRIT-C) and CONSORT-Children (CONSORT-C).
    Methods: The development of SPIRIT-C/CONSORT-C will be informed by the Enhancing the Quality and Transparency of Health Research Quality (EQUATOR) method for reporting guideline development in the following stages: (1) generation of a preliminary list of candidate items, informed by (a) items developed during initial development efforts and child relevant items from recent published SPIRIT and CONSORT extensions; (b) two systematic reviews and environmental scan of the literature; (c) workshops with young people; (2) an international Delphi study, where a wide range of panelists will vote on the inclusion or exclusion of candidate items on a nine-point Likert scale; (3) a consensus meeting to discuss items that have not reached consensus in the Delphi study and to "lock" the checklist items; (4) pilot testing of items and definitions to ensure that they are understandable, useful, and applicable; and (5) a final project meeting to discuss each item in the context of pilot test results. Key partners, including young people (ages 12-24 years) and family caregivers (e.g., parents) with lived experiences with pediatric clinical trials, and individuals with expertise and involvement in pediatric trials will be involved throughout the project. SPIRIT-C/CONSORT-C will be disseminated through publications, academic conferences, and endorsement by pediatric journals and relevant research networks and organizations.
    Discussion: SPIRIT/CONSORT-C may serve as resources to facilitate comprehensive reporting needed to understand pediatric clinical trial protocols and reports, which may improve transparency within pediatric clinical trials and reduce research waste.
    Trial registration: The development of these reporting guidelines is registered with the EQUATOR Network: SPIRIT-Children ( https://www.equator-network.org/library/reporting-guidelines-under-development/reporting-guidelines-under-development-for-clinical-trials-protocols/#35 ) and CONSORT-Children ( https://www.equator-network.org/library/reporting-guidelines-under-development/reporting-guidelines-under-development-for-clinical-trials/#CHILD ).
    MeSH term(s) Humans ; Child ; Adolescent ; Child Health ; Checklist ; Consensus ; Research Design ; Reference Standards
    Language English
    Publishing date 2024-01-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2040523-6
    ISSN 1745-6215 ; 1468-6694 ; 1745-6215
    ISSN (online) 1745-6215
    ISSN 1468-6694 ; 1745-6215
    DOI 10.1186/s13063-024-07948-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Blindsided: challenging the dogma of masking in clinical trials.

    Drucker, Aaron M / Chan, An-Wen

    BMJ (Clinical research ed.)

    2020  Volume 368, Page(s) m229

    MeSH term(s) Clinical Trials as Topic ; Epidemiologic Studies ; Research Design
    Language English
    Publishing date 2020-01-21
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 1362901-3
    ISSN 1756-1833 ; 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    ISSN (online) 1756-1833
    ISSN 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    DOI 10.1136/bmj.m229
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Characterization of discontinuation and nonpublication of phase III randomized clinical trials of psoriasis.

    Lam, Megan / Monaghan, Caitlin / Chan, An-Wen / Drucker, Aaron M

    The British journal of dermatology

    2022  Volume 187, Issue 1, Page(s) 127–129

    MeSH term(s) Clinical Trials, Phase III as Topic ; Humans ; Psoriasis/drug therapy ; Publishing ; Randomized Controlled Trials as Topic ; Severity of Illness Index
    Language English
    Publishing date 2022-04-19
    Publishing country England
    Document type Letter
    ZDB-ID 80076-4
    ISSN 1365-2133 ; 0007-0963
    ISSN (online) 1365-2133
    ISSN 0007-0963
    DOI 10.1111/bjd.21025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Surrogate endpoints in trials: a call for better reporting.

    Ciani, Oriana / Manyara, Anthony M / Chan, An-Wen / Taylor, Rod S

    Trials

    2022  Volume 23, Issue 1, Page(s) 991

    Abstract: Using a surrogate endpoint as a substitute for a patient-relevant final outcome enables randomised controlled trials (RCTs) to be conducted more efficiently. However, the use of surrogates remains controversial and there is currently no guideline for the ...

    Abstract Using a surrogate endpoint as a substitute for a patient-relevant final outcome enables randomised controlled trials (RCTs) to be conducted more efficiently. However, the use of surrogates remains controversial and there is currently no guideline for the reporting of RCTs using surrogate endpoints; therefore, we seek to develop SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) and CONSORT (Consolidated Standards of Reporting Trials) extensions to improve the reporting of these trials. We would like to invite interested individuals (trial methodologists, journal editors, healthcare industry, regulators and payers, and patient/public representative groups), particularly those with experience in the use of surrogate endpoints in trials.
    Language English
    Publishing date 2022-12-12
    Publishing country England
    Document type Letter
    ZDB-ID 2040523-6
    ISSN 1745-6215 ; 1468-6694 ; 1745-6215
    ISSN (online) 1745-6215
    ISSN 1468-6694 ; 1745-6215
    DOI 10.1186/s13063-022-06904-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Directrices para los protocolos de ensayos clínicos de intervenciones con inteligencia artificial: la extensión SPIRIT-AI

    Cruz Rivera, Samantha / Liu, Xiaoxuan / Chan, An-Wen / Denniston, Alastair K / Calvert, Melanie J

    Revista panamericana de salud publica = Pan American journal of public health

    2023  Volume 48, Page(s) e12

    Abstract: The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent ... ...

    Title translation Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extensionDiretrizes para protocolos de ensaios clínicos com intervenções que utilizam inteligência artificial: a extensão SPIRIT-AI.
    Abstract The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent evaluation of new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate their impact on health outcomes. The SPIRIT-AI (Standard Protocol Items: Recommendations for Interventional Trials-Artificial Intelligence) extension is a new reporting guideline for clinical trial protocols evaluating interventions with an AI component. It was developed in parallel with its companion statement for trial reports: CONSORT-AI (Consolidated Standards of Reporting Trials-Artificial Intelligence). Both guidelines were developed through a staged consensus process involving literature review and expert consultation to generate 26 candidate items, which were consulted upon by an international multi-stakeholder group in a two-stage Delphi survey (103 stakeholders), agreed upon in a consensus meeting (31 stakeholders) and refined through a checklist pilot (34 participants). The SPIRIT-AI extension includes 15 new items that were considered sufficiently important for clinical trial protocols of AI interventions. These new items should be routinely reported in addition to the core SPIRIT 2013 items. SPIRIT-AI recommends that investigators provide clear descriptions of the AI intervention, including instructions and skills required for use, the setting in which the AI intervention will be integrated, considerations for the handling of input and output data, the human-AI interaction and analysis of error cases. SPIRIT-AI will help promote transparency and completeness for clinical trial protocols for AI interventions. Its use will assist editors and peer reviewers, as well as the general readership, to understand, interpret and critically appraise the design and risk of bias for a planned clinical trial.
    Language Spanish
    Publishing date 2023-02-01
    Publishing country United States
    Document type Case Reports ; English Abstract
    ZDB-ID 1376934-0
    ISSN 1680-5348 ; 1020-4989
    ISSN (online) 1680-5348
    ISSN 1020-4989
    DOI 10.26633/RPSP.2024.12
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Directrices para los protocolos de ensayos clínicos de intervenciones con inteligencia artificial: la extensión SPIRIT-AI

    Cruz Rivera, Samantha / Liu, Xiaoxuan / Chan, An-Wen / Denniston, Alastair K / Calvert, Melanie J

    Revista panamericana de salud publica = Pan American journal of public health

    2023  Volume 47, Page(s) e149

    Abstract: The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent ... ...

    Title translation Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extensionDiretrizes para protocolos de ensaios clínicos com intervenções que utilizam inteligência artificial: a extensão SPIRIT-AI.
    Abstract The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent evaluation of new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate their impact on health outcomes. The SPIRIT-AI (Standard Protocol Items: Recommendations for Interventional Trials-Artificial Intelligence) extension is a new reporting guideline for clinical trial protocols evaluating interventions with an AI component. It was developed in parallel with its companion statement for trial reports: CONSORT-AI (Consolidated Standards of Reporting Trials-Artificial Intelligence). Both guidelines were developed through a staged consensus process involving literature review and expert consultation to generate 26 candidate items, which were consulted upon by an international multi-stakeholder group in a two-stage Delphi survey (103 stakeholders), agreed upon in a consensus meeting (31 stakeholders) and refined through a checklist pilot (34 participants). The SPIRIT-AI extension includes 15 new items that were considered sufficiently important for clinical trial protocols of AI interventions. These new items should be routinely reported in addition to the core SPIRIT 2013 items. SPIRIT-AI recommends that investigators provide clear descriptions of the AI intervention, including instructions and skills required for use, the setting in which the AI intervention will be integrated, considerations for the handling of input and output data, the human-AI interaction and analysis of error cases. SPIRIT-AI will help promote transparency and completeness for clinical trial protocols for AI interventions. Its use will assist editors and peer reviewers, as well as the general readership, to understand, interpret and critically appraise the design and risk of bias for a planned clinical trial.
    Language Spanish
    Publishing date 2023-12-08
    Publishing country United States
    Document type Case Reports ; English Abstract
    ZDB-ID 1376934-0
    ISSN 1680-5348 ; 1020-4989
    ISSN (online) 1680-5348
    ISSN 1020-4989
    DOI 10.26633/RPSP.2023.149
    Database MEDical Literature Analysis and Retrieval System OnLINE

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