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  1. Article ; Online: Reply to "Comment on a review of methods to assess publication and other reporting biases in meta-analysis".

    Page, Matthew J

    Research synthesis methods

    2022  Volume 13, Issue 4, Page(s) 392–393

    Language English
    Publishing date 2022-03-01
    Publishing country England
    Document type Letter ; Meta-Analysis ; Review ; Comment
    ZDB-ID 2548499-0
    ISSN 1759-2887 ; 1759-2879
    ISSN (online) 1759-2887
    ISSN 1759-2879
    DOI 10.1002/jrsm.1551
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Controversy and Debate on Meta-epidemiology. Paper 4: Confounding and other concerns in meta-epidemiological studies of bias.

    Page, Matthew J

    Journal of clinical epidemiology

    2020  Volume 123, Page(s) 133–134

    MeSH term(s) Bias ; Epidemiologic Studies ; Humans
    Language English
    Publishing date 2020-04-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 639306-8
    ISSN 1878-5921 ; 0895-4356
    ISSN (online) 1878-5921
    ISSN 0895-4356
    DOI 10.1016/j.jclinepi.2020.03.022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A decline in Australian suicide during COVID-19? A reflection on the 2020 cause of death statistics in the context of long-term trends.

    Page, Andrew / Spittal, Matthew J

    Journal of affective disorders reports

    2022  Volume 9, Page(s) 100353

    Abstract: This correspondence considers the overall decline in suicide in 2020 in the context of longer-term sex and age-specific trends over the period 1907-2020. When considering suicide rates from the beginning of the 20th century, the decrease in the total ... ...

    Abstract This correspondence considers the overall decline in suicide in 2020 in the context of longer-term sex and age-specific trends over the period 1907-2020. When considering suicide rates from the beginning of the 20th century, the decrease in the total suicide rate from 2019 to 2020 is less noteworthy.
    Language English
    Publishing date 2022-04-23
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2666-9153
    ISSN (online) 2666-9153
    DOI 10.1016/j.jadr.2022.100353
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Attitudes of people living with cancer towards trial non-publication and research participation.

    Hamilton, Daniel G / Everitt, Sarah / Page, Matthew J / Vazire, Simine / Fidler, Fiona

    BMJ evidence-based medicine

    2024  Volume 29, Issue 1, Page(s) 64–66

    MeSH term(s) Humans ; Attitude ; Neoplasms/therapy
    Language English
    Publishing date 2024-01-19
    Publishing country England
    Document type Letter
    ISSN 2515-4478
    ISSN (online) 2515-4478
    DOI 10.1136/bmjebm-2023-112456
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: What do Australians affected by cancer think about oncology researchers sharing research data? A cross-sectional survey.

    Hamilton, Daniel G / Everitt, Sarah / Page, Matthew J / Fidler, Fiona

    Asia-Pacific journal of clinical oncology

    2024  

    Abstract: Aim: Previous research has shown patients and the public in Australia generally support medical researchers in making de-identified research data available to other scientists. However, this research has focussed on certain types of data and recipients. ...

    Abstract Aim: Previous research has shown patients and the public in Australia generally support medical researchers in making de-identified research data available to other scientists. However, this research has focussed on certain types of data and recipients. We surveyed Australians affected by cancer to characterize their attitudes toward the sharing of research data with multiple third parties, including the public.
    Methods: A short, anonymous online survey of Australians with a previous diagnosis of cancer was advertised between October 27, 2022, and February 27, 2023. Quantitative responses were analyzed with descriptive statistics. Free-text responses were coded deductively and summarised using content analysis.
    Results: In total, 551 respondents contributed data to the survey. There was strong support for cancer researchers sharing non-human and de-identified human research data with clinicians (90% and 95%, respectively) and non-profit researchers (both 94%). However, fewer participants supported sharing data with for-profit researchers (both 64%) or publicly (both 61%). When asked if they would hypothetically consent to researchers at their treatment location using and sharing their de-identified data publicly, only half agreed. In contrast, after being shown a visual representation of the de-identified survey data, 80% of respondents supported sharing it publicly.
    Conclusion: Australians affected by cancer support the sharing of research data, particularly with clinicians and non-profit researchers. Our results also imply that visualization of the data to be shared may enhance support for making it publicly available. These results should help alleviate any concerns about research participants' attitudes toward data sharing, as well as boost researchers' motivation for sharing.
    Language English
    Publishing date 2024-05-06
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2187409-8
    ISSN 1743-7563 ; 1743-7555
    ISSN (online) 1743-7563
    ISSN 1743-7555
    DOI 10.1111/ajco.14075
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Reporting health and medical research.

    Hansford, Harrison J / Richards, Georgia C / Page, Matthew J / Sharp, Melissa K / Lee, Hopin / Cashin, Aidan G

    BMJ evidence-based medicine

    2024  

    Language English
    Publishing date 2024-03-07
    Publishing country England
    Document type Journal Article
    ISSN 2515-4478
    ISSN (online) 2515-4478
    DOI 10.1136/bmjebm-2023-112563
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: 'Quantity does not make quality': when is there a case for repeating a network meta-analysis?

    Howells, Laura / Page, Matthew J / Williams, Hywel C

    The British journal of dermatology

    2022  Volume 186, Issue 5, Page(s) 911–913

    MeSH term(s) Humans ; Network Meta-Analysis
    Language English
    Publishing date 2022-03-16
    Publishing country England
    Document type Letter ; Meta-Analysis ; Comment
    ZDB-ID 80076-4
    ISSN 1365-2133 ; 0007-0963
    ISSN (online) 1365-2133
    ISSN 0007-0963
    DOI 10.1111/bjd.21017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ui VI Zs.23: Show issues Location:
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  8. Article ; Online: PRISMA 2020 and PRISMA-S: common questions on tracking records and the flow diagram.

    Rethlefsen, Melissa L / Page, Matthew J

    Journal of the Medical Library Association : JMLA

    2021  Volume 110, Issue 2, Page(s) 253–257

    Abstract: The PRISMA 2020 and PRISMA-S guidelines help systematic review teams report their reviews clearly, transparently, and with sufficient detail to enable reproducibility. PRISMA 2020, an updated version of the PRISMA (Preferred Reporting Items for ... ...

    Abstract The PRISMA 2020 and PRISMA-S guidelines help systematic review teams report their reviews clearly, transparently, and with sufficient detail to enable reproducibility. PRISMA 2020, an updated version of the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) statement, is complemented by PRISMA-S, an extension to PRISMA focusing on reporting the search components of systematic reviews. Several significant changes were implemented in PRISMA 2020 and PRISMA-S when compared with the original version of PRISMA in 2009, including the recommendation to report search strategies for
    MeSH term(s) Databases, Factual ; Meta-Analysis as Topic ; Reproducibility of Results ; Research Report ; Systematic Reviews as Topic
    Language English
    Publishing date 2021-09-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2072435-4
    ISSN 1558-9439 ; 1536-5050
    ISSN (online) 1558-9439
    ISSN 1536-5050
    DOI 10.5195/jmla.2022.1449
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ua I Zs.1: Show issues Location:
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  9. Article ; Online: Cancer researchers' experiences with and perceptions of research data sharing: Results of a cross-sectional survey.

    Hamilton, Daniel G / Page, Matthew J / Everitt, Sarah / Fraser, Hannah / Fidler, Fiona

    Accountability in research

    2024  , Page(s) 1–28

    Abstract: Background: Despite wide recognition of the benefits of sharing research data, public availability rates have not increased substantially in oncology or medicine more broadly over the last decade.: Methods: We surveyed 285 cancer researchers to ... ...

    Abstract Background: Despite wide recognition of the benefits of sharing research data, public availability rates have not increased substantially in oncology or medicine more broadly over the last decade.
    Methods: We surveyed 285 cancer researchers to determine their prior experience with sharing data and views on known drivers and inhibitors.
    Results: We found that 45% of respondents had shared some data from their most recent empirical publication, with respondents who typically studied non-human research participants, or routinely worked with human genomic data, more likely to share than those who did not. A third of respondents added that they had previously shared data privately, with 74% indicating that doing so had also led to authorship opportunities or future collaborations for them. Journal and funder policies were reported to be the biggest general drivers toward sharing, whereas commercial interests, agreements with industrial sponsors and institutional policies were the biggest prohibitors. We show that researchers' decisions about whether to share data are also likely to be influenced by participants' desires.
    Conclusions: Our survey suggests that increased promotion and support by research institutions, alongside greater championing of data sharing by journals and funders, may motivate more researchers in oncology to share their data.
    Language English
    Publishing date 2024-02-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2069334-5
    ISSN 1545-5815 ; 0898-9621
    ISSN (online) 1545-5815
    ISSN 0898-9621
    DOI 10.1080/08989621.2024.2308606
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Identification of application and interpretation errors that can occur in pairwise meta-analyses in systematic reviews of interventions: A systematic review.

    Kanukula, Raju / Page, Matthew J / Turner, Simon L / McKenzie, Joanne E

    Journal of clinical epidemiology

    2024  , Page(s) 111331

    Abstract: Objective: To generate a bank of items describing application and interpretation errors that can arise in pairwise meta-analyses in systematic reviews of interventions.: Study design and setting: Medline, Embase and Scopus were searched to identify ... ...

    Abstract Objective: To generate a bank of items describing application and interpretation errors that can arise in pairwise meta-analyses in systematic reviews of interventions.
    Study design and setting: Medline, Embase and Scopus were searched to identify studies describing types of errors in meta-analyses. Descriptions of errors and supporting quotes were extracted by multiple authors. Errors were reviewed at team meetings to determine if they should be excluded, reworded, or combined with other errors, and were categorised into broad categories of errors and subcategories within.
    Results: 50 articles met our inclusion criteria, leading to the identification of 139 errors. We identified 25 errors covering data extraction/manipulation, 74 covering statistical analyses, and 40 covering interpretation. Many of the statistical analysis errors related to the meta-analysis model (e.g. using a two-stage strategy to determine whether to select a fixed or random-effects model) and statistical heterogeneity (e.g. not undertaking an assessment for statistical heterogeneity).
    Conclusions: We generated a comprehensive bank of possible errors that can arise in the application and interpretation of meta-analyses in systematic reviews of interventions. This item bank of errors provides the foundation for developing a checklist to help peer reviewers detect statistical errors.
    Language English
    Publishing date 2024-03-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639306-8
    ISSN 1878-5921 ; 0895-4356
    ISSN (online) 1878-5921
    ISSN 0895-4356
    DOI 10.1016/j.jclinepi.2024.111331
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uh III Zs.206: Show issues Location:
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