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"Loder, Elizabeth W"
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The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
2021
The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
Journal Article
PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews
by
Tricco, Andrea C
,
Lalu, Manoj M
,
Li, Tianjing
in
Clinical decision making
,
Data Accuracy
,
Decision making
2021
The methods and results of systematic reviews should be reported in sufficient detail to allow users to assess the trustworthiness and applicability of the review findings. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement was developed to facilitate transparent and complete reporting of systematic reviews and has been updated (to PRISMA 2020) to reflect recent advances in systematic review methodology and terminology. Here, we present the explanation and elaboration paper for PRISMA 2020, where we explain why reporting of each item is recommended, present bullet points that detail the reporting recommendations, and present examples from published reviews. We hope that changes to the content and structure of PRISMA 2020 will facilitate uptake of the guideline and lead to more transparent, complete, and accurate reporting of systematic reviews.
Journal Article
Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration
2021
Mendelian randomisation (MR) studies allow a better understanding of the causal effects of modifiable exposures on health outcomes, but the published evidence is often hampered by inadequate reporting. Reporting guidelines help authors effectively communicate all critical information about what was done and what was found. STROBE-MR (strengthening the reporting of observational studies in epidemiology using mendelian randomisation) assists authors in reporting their MR research clearly and transparently. Adopting STROBE-MR should help readers, reviewers, and journal editors evaluate the quality of published MR studies. This article explains the 20 items of the STROBE-MR checklist, along with their meaning and rationale, using terms defined in a glossary. Examples of transparent reporting are used for each item to illustrate best practices.
Journal Article
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
by
Boulesteix, Anne-Laure
,
Denniston, Alastair K
,
Lam, Emily
in
Artificial intelligence
,
Calibration
,
Check lists
2024
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studies developing or evaluating the performance of a prediction model. Methodological advances in the field of prediction have since included the widespread use of artificial intelligence (AI) powered by machine learning methods to develop prediction models. An update to the TRIPOD statement is thus needed. TRIPOD+AI provides harmonised guidance for reporting prediction model studies, irrespective of whether regression modelling or machine learning methods have been used. The new checklist supersedes the TRIPOD 2015 checklist, which should no longer be used. This article describes the development of TRIPOD+AI and presents the expanded 27 item checklist with more detailed explanation of each reporting recommendation, and the TRIPOD+AI for Abstracts checklist. TRIPOD+AI aims to promote the complete, accurate, and transparent reporting of studies that develop a prediction model or evaluate its performance. Complete reporting will facilitate study appraisal, model evaluation, and model implementation.
Journal Article
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
by
Hoffmann, Tammy C.
,
McGuinness, Luke A.
,
Li, Tianjing
in
Checklist
,
Endorsements
,
Epidemiology
2021
The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
Journal Article
Delivering headache care to underserved populations: Results of a neurology clinic embedded in primary care
by
Loder, Elizabeth W.
,
Ruccio, D. James
,
Nigam, Minali
in
Botulinum toxin type A
,
Calcitonin gene-related peptide
,
Diagnosis
2025
Background/Objective
Underserved populations have worse access to neurologic care and higher risk for worse headache disease burden. We embedded a neurology clinic offering headache services within a primary care clinic treating an underserved population in Boston, Massachusetts, United States. We describe the results of a retrospective review of 1439 outpatient visits during the first three years of operation.
Methods
Electronic medical record data on demographics, visit types, diagnoses, and medications were extracted and summarized from patient visits completed at the embedded neurology clinic from October 2, 2020, to January 5, 2024. We also reviewed clinic utilization and consult completion rates.
Results
Over three years, the embedded neurology clinic completed 1439 visits, of which 687 (47.6%) were new patient visits. The consult completion rate was 73.7% (244/331). Patients had a mean age of 52.1 (SD 17.5) years, were 78% women, 68% Hispanic ethnicity and 53% Medicaid/Medicare (public) insurance. The most common diagnosis was a headache or facial pain disorder (46.2%), with migraine diagnoses representing 1/3 of all new patient diagnoses. Of patients diagnosed with migraine, 26.6% were diagnosed with chronic migraine in new patient visits, 48.1% were prescribed an American Academy of Neurology guideline-concordant migraine preventive medication (1/3 of those prescriptions for a CGRP mAB or OnabotulinumtoxinA), and 52.6% were prescribed a guideline-concordant migraine-specific abortive medication (triptan, dihydroergotamine, or gepant).
Conclusion
Embedding neurologic services within community health centers is a promising model to provide access to headache care for patients from underserved populations. One-third of patients seen received a migraine diagnosis that made them eligible for targeted, disease-specific treatment. Longitudinal studies are needed to evaluate the impact of embedded clinics on migraine-related disability and healthcare utilization.
Graphical abstract
This is a visual representation of the abstract.
Journal Article
Disentangling placebo effects in the treatment of migraine
2020
A new meta-analysis of placebo-controlled trials of calcitonin gene-related peptide (CGRP) antibodies for migraine has shown that the direct biological effects of these treatments beyond the effects of placebo are modest, raising questions about how the ‘true value’ of these and other drugs are assessed.
Journal Article
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
by
Li, Tianjing
,
Oregon Health and Science University [Portland] (OHSU)
,
York Health Economics Consortium ; University of York
in
Careers
,
Editorials
,
Endorsements
2021
The funders had no role in considering the study design or in the collection, analysis, interpretation of data, writing of the report, or decision to submit the article for publication. Competing interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: EL is head of research for the BMJ; MJP is an editorial board member for PLOS Medicine; ACT is an associate editor and MJP, TL, EMW, and DM are editorial board members for the Journal of Clinical Epidemiology; DM and LAS were editors in chief, LS, JMT, and ACT are associate editors, and JG is an editorial board member for Systematic Reviews. [...]technological advances have enabled the use of natural language processing and machine learning to identify relevant evidence,[22–24] methods have been proposed to synthesise and present findings when meta-analysis is not possible or appropriate,[25–27] and new methods have been developed to assess the risk of bias in results of included studies. Summary points * To ensure a systematic review is valuable to users, authors should prepare a transparent, complete, and accurate account of why the review was done, what they did, and what they found * The PRISMA 2020 statement provides updated reporting guidance for systematic reviews that reflects advances in methods to identify, select, appraise, and synthesise studies * The PRISMA 2020 statement consists of a 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and revised flow diagrams for original and updated reviews * We anticipate that the PRISMA 2020 statement will benefit authors, editors, and peer reviewers of systematic reviews, and different users of reviews, including guideline developers, policy makers, healthcare providers, patients, and other stakeholders Development of PRISMA 2020 A complete description of the methods used to develop PRISMA 2020 is available elsewhere.
Journal Article
Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022) statement: updated reporting guidance for health economic evaluations
by
Mauskopf, Josephine
,
Hiligsmann, Mickaël
,
Berger, Marc
in
Decision making
,
Economics
,
Health economics
2022
Health economic evaluations are comparative analyses of alternative courses of action in terms of their costs and consequences. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement, published in 2013, was created to ensure health economic evaluations are identifiable, interpretable, and useful for decision making. It was intended as guidance to help authors report accurately which health interventions were being compared and in what context, how the evaluation was undertaken, what the findings were, and other details that may aid readers and reviewers in interpretation and use of the study. The new CHEERS 2022 statement replaces previous CHEERS reporting guidance. It reflects the need for guidance that can be more easily applied to all types of health economic evaluation, new methods and developments in the field, as well as the increased role of stakeholder involvement including patients and the public. It is also broadly applicable to any form of intervention intended to improve the health of individuals or the population, whether simple or complex, and without regard to context (such as health care, public health, education, social care, etc.). This summary article presents the new CHEERS 2022 28-item checklist and recommendations for each item. The CHEERS 2022 statement is primarily intended for researchers reporting economic evaluations for peer reviewed journals as well as the peer reviewers and editors assessing them for publication. However, we anticipate familiarity with reporting requirements will be useful for analysts when planning studies. It may also be useful for health technology assessment bodies seeking guidance on reporting, as there is an increasing emphasis on transparency in decision making.
Journal Article