參考文獻
共 254 筆,依關卡分組(每筆放在最主要的關卡,其他引用到它的關卡列在條目下方)。 每筆書目都以 PubMed、Crossref、arXiv 或 GitHub 實際查證過;標「AI 章 [N]」者為第 12 關內文的引用編號。 各章節內文另附該章使用的文獻連結。
LV.01 為什麼要做 Systematic Review (34 筆)
- Mulrow CD. Rationale for systematic reviews. BMJ. 1994.
- Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005.
- Moher D, Tetzlaff J, Tricco AC et al. Epidemiology and reporting characteristics of systematic reviews. PLoS Med. 2007.
- Shojania KG, Sampson M, Ansari MT et al. How quickly do systematic reviews go out of date? A survival analysis. Ann Intern Med. 2007.
- Chalmers I, Glasziou P. Avoidable waste in the production and reporting of research evidence. Lancet. 2009.
- Ioannidis JP. Integration of evidence from multiple meta-analyses: a primer on umbrella reviews, treatment networks and multiple treatments meta-analyses. CMAJ. 2009.
- Bastian H, Glasziou P, Chalmers I. Seventy-five trials and eleven systematic reviews a day: how will we ever keep up?. PLoS Med. 2010.
- Siontis KC, Hernandez-Boussard T, Ioannidis JP. Overlapping meta-analyses on the same topic: survey of published studies. BMJ. 2013.
- Elliott JH, Turner T, Clavisi O et al. Living systematic reviews: an emerging opportunity to narrow the evidence-practice gap. PLoS Med. 2014.
- Macleod MR, Michie S, Roberts I et al. Biomedical research: increasing value, reducing waste. Lancet. 2014.
- Pieper D, Antoine SL, Mathes T et al. Systematic review finds overlapping reviews were not mentioned in every other overview. J Clin Epidemiol. 2014.
- Aromataris E, Fernandez R, Godfrey CM et al. Summarizing systematic reviews: methodological development, conduct and reporting of an umbrella review approach. Int J Evid Based Healthc. 2015.
- Tricco AC, Antony J, Zarin W et al. A scoping review of rapid review methods. BMC Med. 2015.
- Haby MM, Chapman E, Clark R et al. What are the best methodologies for rapid reviews of the research evidence for evidence-informed decision making in health policy and practice: a rapid review. Health Res Policy Syst. 2016.
- Lund H, Brunnhuber K, Juhl C et al. Towards evidence based research. BMJ. 2016.
- Murad MH, Asi N, Alsawas M et al. New evidence pyramid. Evid Based Med. 2016.
- Page MJ, Shamseer L, Altman DG et al. Epidemiology and Reporting Characteristics of Systematic Reviews of Biomedical Research: A Cross-Sectional Study. PLoS Med. 2016.
- Elliott JH, Synnot A, Turner T et al. Living systematic review: 1. Introduction-the why, what, when, and how. J Clin Epidemiol. 2017.
- Sadeghirad B, Siemieniuk RAC, Brignardello-Petersen R et al. Corticosteroids for treatment of sore throat: systematic review and meta-analysis of randomised trials. BMJ. 2017.
- Simmonds M, Salanti G, McKenzie J et al. Living systematic reviews: 3. Statistical methods for updating meta-analyses. J Clin Epidemiol. 2017.
- Thomas J, Noel-Storr A, Marshall I et al. Living systematic reviews: 2. Combining human and machine effort. J Clin Epidemiol. 2017.
- Fusar-Poli P, Radua J. Ten simple rules for conducting umbrella reviews. Evid Based Ment Health. 2018.
- Munn Z, Peters MDJ, Stern C et al. Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med Res Methodol. 2018.
- Munn Z, Stern C, Aromataris E et al. What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences. BMC Med Res Methodol. 2018.
- Tricco AC, Lillie E, Zarin W et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med. 2018.
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- Niforatos JD, Weaver M, Johansen ME. Assessment of Publication Trends of Systematic Reviews and Randomized Clinical Trials, 1995 to 2017. JAMA Intern Med. 2019.
- Gartlehner G, Affengruber L, Titscher V et al. Single-reviewer abstract screening missed 13 percent of relevant studies: a crowd-based, randomized controlled trial. J Clin Epidemiol. 2020.
- Nussbaumer-Streit B, Klerings I, Dobrescu AI et al. Excluding non-English publications from evidence-syntheses did not change conclusions: a meta-epidemiological study. J Clin Epidemiol. 2020.
- Peters MDJ, Marnie C, Tricco AC et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth. 2020.
- Garritty C, Gartlehner G, Nussbaumer-Streit B et al. Cochrane Rapid Reviews Methods Group offers evidence-informed guidance to conduct rapid reviews. J Clin Epidemiol. 2021.
- Hamel C, Michaud A, Thuku M et al. Defining Rapid Reviews: a systematic scoping review and thematic analysis of definitions and defining characteristics of rapid reviews. J Clin Epidemiol. 2021.
- Hoffmann F, Allers K, Rombey T et al. Nearly 80 systematic reviews were published each day: Observational study on trends in epidemiology and reporting over the years 2000-2019. J Clin Epidemiol. 2021.
- Tricco AC, Khalil H, Holly C et al. Rapid reviews and the methodological rigor of evidence synthesis: a JBI position statement. JBI Evid Synth. 2022.
LV.02 問題形成:PICO 與 eligibility (7 筆)
- Richardson WS, Wilson MC, Nishikawa J et al. The well-built clinical question: a key to evidence-based decisions. ACP J Club. 1995.
- Schardt C, Adams MB, Owens T et al. Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med Inform Decis Mak. 2007.
- Cooke A, Smith D, Booth A. Beyond PICO: the SPIDER tool for qualitative evidence synthesis. Qual Health Res. 2012.
- Methley AM, Campbell S, Chew-Graham C et al. PICO, PICOS and SPIDER: a comparison study of specificity and sensitivity in three search tools for qualitative systematic reviews. BMC Health Serv Res. 2014.
- McKenzie JE, Brennan SE, Ryan RE et al. Chapter 3: Defining the criteria for including studies and how they will be grouped for the synthesis. Cochrane Handbook for Systematic Reviews of Interventions (v6). 2019.
- Frandsen TF, Bruun Nielsen MF, Lindhardt CL et al. Using the full PICO model as a search tool for systematic reviews resulted in lower recall for some PICO elements. J Clin Epidemiol. 2020.
- Al Atbi AY, Al Khalasi U, Al Atbi A et al. Efficacy of nebulized glucocorticoids for acute pharyngitis in an emergency department outpatient population: a multicenter, double-blind, randomized clinical trial. CJEM. 2025.
LV.03 Protocol 與註冊 (13 筆)
- Silagy CA, Middleton P, Hopewell S. Publishing protocols of systematic reviews: comparing what was done to what was planned. JAMA. 2002.
- Chan AW, Hróbjartsson A, Haahr MT et al. Empirical evidence for selective reporting of outcomes in randomized trials: comparison of protocols to published articles. JAMA. 2004.
- Dwan K, Altman DG, Arnaiz JA et al. Systematic review of the empirical evidence of study publication bias and outcome reporting bias. PLoS One. 2008.
- Kirkham JJ, Dwan KM, Altman DG et al. The impact of outcome reporting bias in randomised controlled trials on a cohort of systematic reviews. BMJ. 2010.
- Booth A, Clarke M, Ghersi D et al. An international registry of systematic-review protocols. Lancet. 2011.
- Stewart L, Moher D, Shekelle P. Why prospective registration of systematic reviews makes sense. Syst Rev. 2012.
- Booth A, Clarke M, Dooley G et al. PROSPERO at one year: an evaluation of its utility. Syst Rev. 2013.
- Dwan K, Gamble C, Williamson PR et al. Systematic review of the empirical evidence of study publication bias and outcome reporting bias - an updated review. PLoS One. 2013.
- Moher D, Shamseer L, Clarke M et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015.
- Shamseer L, Moher D, Clarke M et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015.
- Allers K, Hoffmann F, Mathes T et al. Systematic reviews with published protocols compared to those without: more effort, older search. J Clin Epidemiol. 2018.
- Ge L, Tian JH, Li YN et al. Association between prospective registration and overall reporting and methodological quality of systematic reviews: a meta-epidemiological study. J Clin Epidemiol. 2018.
- Page MJ, Shamseer L, Tricco AC. Registration of systematic reviews in PROSPERO: 30,000 records and counting. Syst Rev. 2018.
LV.04 搜尋策略 (32 筆)
- Dickersin K, Scherer R, Lefebvre C. Identifying relevant studies for systematic reviews. BMJ. 1994.
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- Robinson KA, Dickersin K. Development of a highly sensitive search strategy for the retrieval of reports of controlled trials using PubMed. Int J Epidemiol. 2002.
- Egger M, Juni P, Bartlett C et al. How important are comprehensive literature searches and the assessment of trial quality in systematic reviews? Empirical study. Health Technol Assess. 2003.
- Royle P, Milne R. Literature searching for randomized controlled trials used in Cochrane reviews: rapid versus exhaustive searches. Int J Technol Assess Health Care. 2003.
- Stevinson C, Lawlor DA. Searching multiple databases for systematic reviews: added value or diminishing returns?. Complement Ther Med. 2004.
- Haynes RB, McKibbon KA, Wilczynski NL et al. Optimal search strategies for retrieving scientifically strong studies of treatment from Medline: analytical survey. BMJ. 2005.
- Glanville JM, Lefebvre C, Miles JN et al. How to identify randomized controlled trials in MEDLINE: ten years on. J Med Libr Assoc. 2006.
- Sampson M, McGowan J. Errors in search strategies were identified by type and frequency. J Clin Epidemiol. 2006.
- Hopewell S, McDonald S, Clarke M et al. Grey literature in meta-analyses of randomized trials of health care interventions. Cochrane Database Syst Rev. 2007.
- Golder S, Loke Y, McIntosh HM. Poor reporting and inadequate searches were apparent in systematic reviews of adverse effects. J Clin Epidemiol. 2008.
- Hopewell S, Loudon K, Clarke MJ et al. Publication bias in clinical trials due to statistical significance or direction of trial results. Cochrane Database Syst Rev. 2009.
- Sampson M, McGowan J, Cogo E et al. An evidence-based practice guideline for the peer review of electronic search strategies. J Clin Epidemiol. 2009.
- Song F, Parekh S, Hooper L et al. Dissemination and publication of research findings: an updated review of related biases. Health Technol Assess. 2010.
- Morrison A, Polisena J, Husereau D et al. The effect of English-language restriction on systematic review-based meta-analyses: a systematic review of empirical studies. Int J Technol Assess Health Care. 2012.
- Wieseler B, Kerekes MF, Vervoelgyi V et al. Impact of document type on reporting quality of clinical drug trials: a comparison of registry reports, clinical study reports, and journal publications. BMJ. 2012.
- Glanville JM, Duffy S, McCool R et al. Searching ClinicalTrials.gov and the International Clinical Trials Registry Platform to inform systematic reviews: what are the optimal search approaches?. J Med Libr Assoc. 2014.
- Schmucker C, Schell LK, Portalupi S et al. Extent of non-publication in cohorts of studies approved by research ethics committees or included in trial registries. PLoS One. 2014.
- Koffel JB. Use of recommended search strategies in systematic reviews and the impact of librarian involvement: a cross-sectional survey of recent authors. PLoS One. 2015.
- Rethlefsen ML, Farrell AM, Osterhaus Trzasko LC et al. Librarian co-authors correlated with higher quality reported search strategies in general internal medicine systematic reviews. J Clin Epidemiol. 2015.
- Hartling L, Featherstone R, Nuspl M et al. Grey literature in systematic reviews: a cross-sectional study of the contribution of non-English reports, unpublished studies and dissertations to the results of meta-analyses in child-relevant reviews. BMC Med Res Methodol. 2017.
- Bramer WM, de Jonge GB, Rethlefsen ML et al. A systematic approach to searching: an efficient and complete method to develop literature searches. J Med Libr Assoc. 2018.
- Knelangen M, Hausner E, Metzendorf MI et al. Trial registry searches for randomized controlled trials of new drugs required registry-specific adaptation to achieve adequate sensitivity. J Clin Epidemiol. 2018.
- Scherer RW, Meerpohl JJ, Pfeifer N et al. Full publication of results initially presented in abstracts. Cochrane Database Syst Rev. 2018.
- Lefebvre C, Glanville J, Briscoe S et al. Chapter 4: Searching for and selecting studies. Cochrane Handbook for Systematic Reviews of Interventions (v6). 2019.
- Salvador-Oliván JA, Marco-Cuenca G, Arquero-Avilés R. Errors in search strategies used in systematic reviews and their effects on information retrieval. J Med Libr Assoc. 2019.
- de Cassan S, Thompson MJ, Perera R et al. Corticosteroids as standalone or add-on treatment for sore throat. Cochrane Database of Systematic Reviews. 2020.
- Gusenbauer M, Haddaway NR. Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Res Synth Methods. 2020.
- Noel-Storr AH, Dooley G, Wisniewski S et al. Cochrane Centralised Search Service showed high sensitivity identifying randomized controlled trials: A retrospective analysis. J Clin Epidemiol. 2020.
- Thomas J, McDonald S, Noel-Storr A et al. Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews. J Clin Epidemiol. 2021.
- Ewald H, Klerings I, Wagner G et al. Searching two or more databases decreased the risk of missing relevant studies: a metaresearch study. J Clin Epidemiol. 2022.
LV.05 文獻管理與去重 (13 筆)
- Tramèr MR, Reynolds DJ, Moore RA et al. Impact of covert duplicate publication on meta-analysis: a case study. BMJ. 1997.
- von Elm E, Poglia G, Walder B et al. Different patterns of duplicate publication: an analysis of articles used in systematic reviews. JAMA. 2004.
- Cook J, Hayward G, Thompson M et al. Oral corticosteroid use for clinical and cost-effective symptom relief of sore throat: study protocol for a randomized controlled trial. Trials. 2014.
- Kwon Y, Lemieux M, McTavish J et al. Identifying and removing duplicate records from systematic review searches. J Med Libr Assoc. 2015.
- Rathbone J, Carter M, Hoffmann T et al. Better duplicate detection for systematic reviewers: evaluation of Systematic Review Assistant-Deduplication Module. Syst Rev. 2015.
- Bramer WM, Giustini D, de Jonge GB et al. De-duplication of database search results for systematic reviews in EndNote. J Med Libr Assoc. 2016.
- Ouzzani M, Hammady H, Fedorowicz Z et al. Rayyan-a web and mobile app for systematic reviews. Syst Rev. 2016.
- Hansen B. Dexamethasone May Reduce Sore Throat Symptoms in Adults at 48 Hours. Am Fam Physician. 2017.
- Van der Mierden S, Tsaioun K, Bleich A et al. Software tools for literature screening in systematic reviews in biomedical research. ALTEX. 2019.
- Clark J, Glasziou P, Del Mar C et al. A full systematic review was completed in 2 weeks using automation tools: a case study. J Clin Epidemiol. 2020.
- Harrison H, Griffin SJ, Kuhn I et al. Software tools to support title and abstract screening for systematic reviews in healthcare: an evaluation. BMC Med Res Methodol. 2020.
- McKeown S, Mir ZM. Considerations for conducting systematic reviews: evaluating the performance of different methods for de-duplicating references. Syst Rev. 2021.
- Borissov N, Haas Q, Minder B et al. Reducing systematic review burden using Deduklick: a novel, automated, reliable, and explainable deduplication algorithm to foster medical research. Syst Rev. 2022.
LV.06 篩選:從標題到全文 (16 筆)
- Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960.
- Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977. PubMed 843571 |KappaCalculator:Landis & Koch 分級
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- Edwards P, Clarke M, DiGuiseppi C et al. Identification of randomized controlled trials in systematic reviews: accuracy and reliability of screening records. Stat Med. 2002.
- Sim J, Wright CC. The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys Ther. 2005.
- McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012. PubMed 23092060 |KappaCalculator:較嚴格的 κ 解讀
- O'Mara-Eves A, Thomas J, McNaught J et al. Using text mining for study identification in systematic reviews: a systematic review of current approaches. Syst Rev. 2015.
- Shemilt I, Khan N, Park S et al. Use of cost-effectiveness analysis to compare the efficiency of study identification methods in systematic reviews. Syst Rev. 2016.
- Bannach-Brown A, Przybyła P, Thomas J et al. Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error. Syst Rev. 2019.
- Marshall IJ, Wallace BC. Toward systematic review automation: a practical guide to using machine learning tools in research synthesis. Syst Rev. 2019.
- Stoll CRT, Izadi S, Fowler S et al. The value of a second reviewer for study selection in systematic reviews. Res Synth Methods. 2019.
- Wang Z, Nayfeh T, Tetzlaff J et al. Error rates of human reviewers during abstract screening in systematic reviews. PLoS One. 2020.
- Nussbaumer-Streit B, Ellen M, Klerings I et al. Resource use during systematic review production varies widely: a scoping review. J Clin Epidemiol. 2021.
- van de Schoot R, de Bruin J, Schram R et al. An open source machine learning framework for efficient and transparent systematic reviews. Nat Mach Intell. 2021.
- Hanegraaf P, Wondimu A, Mosselman JJ et al. Inter-reviewer reliability of human literature reviewing and implications for the introduction of machine-assisted systematic reviews: a mixed-methods review. BMJ Open. 2024.
LV.07 資料萃取 (23 筆)
- O'Brien JF, Meade JL, Falk JL. Dexamethasone as adjuvant therapy for severe acute pharyngitis. Ann Emerg Med. 1993.
- Marvez-Valls EG, Ernst AA, Gray J et al. The role of betamethasone in the treatment of acute exudative pharyngitis. Acad Emerg Med. 1998.
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- Bulloch B, Kabani A, Tenenbein M. Oral dexamethasone for the treatment of pain in children with acute pharyngitis: a randomized, double-blind, placebo-controlled trial. Ann Emerg Med. 2003.
- Jones AP, Remmington T, Williamson PR et al. High prevalence but low impact of data extraction and reporting errors were found in Cochrane systematic reviews. J Clin Epidemiol. 2005.
- Kiderman A, Yaphe J, Bregman J et al. Adjuvant prednisone therapy in pharyngitis: a randomised controlled trial from general practice. Br J Gen Pract. 2005.
- Olympia RP, Khine H, Avner JR. Effectiveness of oral dexamethasone in the treatment of moderate to severe pharyngitis in children. Arch Pediatr Adolesc Med. 2005.
- Buscemi N, Hartling L, Vandermeer B et al. Single data extraction generated more errors than double data extraction in systematic reviews. J Clin Epidemiol. 2006.
- Niland ML, Bonsu BK, Nuss KE et al. A pilot study of 1 versus 3 days of dexamethasone as add-on therapy in children with streptococcal pharyngitis. Pediatr Infect Dis J. 2006.
- Gøtzsche PC, Hróbjartsson A, Maric K et al. Data extraction errors in meta-analyses that use standardized mean differences. JAMA. 2007.
- Tasar A, Yanturali S, Topacoglu H et al. Clinical efficacy of dexamethasone for acute exudative pharyngitis. J Emerg Med. 2008.
- Elamin MB, Flynn DN, Bassler D et al. Choice of data extraction tools for systematic reviews depends on resources and review complexity. J Clin Epidemiol. 2009.
- Tendal B, Higgins JP, Jüni P et al. Disagreements in meta-analyses using outcomes measured on continuous or rating scales: observer agreement study. BMJ. 2009.
- Young T, Hopewell S. Methods for obtaining unpublished data. Cochrane Database Syst Rev. 2011.
- Li T, Vedula SS, Hadar N et al. Innovations in data collection, management, and archiving for systematic reviews. Ann Intern Med. 2015.
- Hayward GN, Hay AD, Moore MV et al. Effect of Oral Dexamethasone Without Immediate Antibiotics vs Placebo on Acute Sore Throat in Adults: A Randomized Clinical Trial. JAMA. 2017.
- Mathes T, Klaßen P, Pieper D. Frequency of data extraction errors and methods to increase data extraction quality: a methodological review. BMC Med Res Methodol. 2017.
- Mayo-Wilson E, Fusco N, Li T et al. Multiple outcomes and analyses in clinical trials create challenges for interpretation and research synthesis. J Clin Epidemiol. 2017.
- Mayo-Wilson E, Li T, Fusco N et al. Cherry-picking by trialists and meta-analysts can drive conclusions about intervention efficacy. J Clin Epidemiol. 2017.
- Higgins JP, Eldridge S, Li T. Including variants on randomized trials. Cochrane Handbook for Systematic Reviews of Interventions. 2019.
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- Saldanha IJ, Smith BT, Ntzani E et al. The Systematic Review Data Repository (SRDR): descriptive characteristics of publicly available data and opportunities for research. Syst Rev. 2019.
- Xu C, Yu T, Furuya-Kanamori L et al. Validity of data extraction in evidence synthesis practice of adverse events: reproducibility study. BMJ. 2022.
LV.08 Risk of Bias 評估 (33 筆)
- Schulz KF, Chalmers I, Hayes RJ et al. Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials. JAMA. 1995.
- Moher D, Pham B, Jones A et al. Does quality of reports of randomised trials affect estimates of intervention efficacy reported in meta-analyses?. Lancet. 1998.
- Jüni P, Witschi A, Bloch R et al. The hazards of scoring the quality of clinical trials for meta-analysis. JAMA. 1999.
- Sanderson S, Tatt ID, Higgins JP. Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography. Int J Epidemiol. 2007.
- Wood L, Egger M, Gluud LL et al. Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study. BMJ. 2008.
- Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010.
- Dechartres A, Boutron I, Trinquart L et al. Single-center trials show larger treatment effects than multicenter trials: evidence from a meta-epidemiologic study. Ann Intern Med. 2011.
- Higgins JP, Altman DG, Gøtzsche PC et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. 2011.
- Whiting PF, Rutjes AW, Westwood ME et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011.
- Armijo-Olivo S, Stiles CR, Hagen NA et al. Assessment of study quality for systematic reviews: a comparison of the Cochrane Collaboration Risk of Bias Tool and the Effective Public Health Practice Project Quality Assessment Tool: methodological research. J Eval Clin Pract. 2012.
- Savović J, Jones HE, Altman DG et al. Influence of reported study design characteristics on intervention effect estimates from randomized, controlled trials. Ann Intern Med. 2012.
- Hartling L, Hamm MP, Milne A et al. Testing the risk of bias tool showed low reliability between individual reviewers and across consensus assessments of reviewer pairs. J Clin Epidemiol. 2013.
- Hayden JA, van der Windt DA, Cartwright JL et al. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013.
- Margulis AV, Pladevall M, Riera-Guardia N et al. Quality assessment of observational studies in a drug-safety systematic review, comparison of two tools: the Newcastle-Ottawa Scale and the RTI item bank. Clin Epidemiol. 2014.
- Jørgensen L, Paludan-Müller AS, Laursen DR et al. Evaluation of the Cochrane tool for assessing risk of bias in randomized clinical trials: overview of published comments and analysis of user practice in Cochrane and non-Cochrane reviews. Syst Rev. 2016.
- Page MJ, Higgins JP, Clayton G et al. Empirical Evidence of Study Design Biases in Randomized Trials: Systematic Review of Meta-Epidemiological Studies. PLoS One. 2016.
- Sterne JA, Hernán MA, Reeves BC et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016.
- Whiting P, Savović J, Higgins JP et al. ROBIS: A new tool to assess risk of bias in systematic reviews was developed. J Clin Epidemiol. 2016.
- Savovic J, Turner RM, Mawdsley D et al. Association Between Risk-of-Bias Assessments and Results of Randomized Trials in Cochrane Reviews: The ROBES Meta-Epidemiologic Study. Am J Epidemiol. 2018.
- Higgins JPT, Savović J, Page MJ et al. Chapter 8: Assessing risk of bias in a randomized trial. Cochrane Handbook for Systematic Reviews of Interventions (v6). 2019.
- Sterne JAC, Savović J, Page MJ et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019.
- Wolff RF, Moons KGM, Riley RD et al. PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies. Ann Intern Med. 2019.
- Minozzi S, Cinquini M, Gianola S et al. The revised Cochrane risk of bias tool for randomized trials (RoB 2) showed low interrater reliability and challenges in its application. J Clin Epidemiol. 2020.
- McGuinness LA, Higgins JPT. Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments. Res Synth Methods. 2021.
- Yang B, Mallett S, Takwoingi Y et al. QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies. Ann Intern Med. 2021.
- Minozzi S, Dwan K, Borrelli F et al. Reliability of the revised Cochrane risk-of-bias tool for randomised trials (RoB2) improved with the use of implementation instruction. J Clin Epidemiol. 2022.
- Page MJ, Sterne JAC, Boutron I et al. ROB-ME: a tool for assessing risk of bias due to missing evidence in systematic reviews with meta-analysis. BMJ. 2023.
- Higgins JPT, Morgan RL, Rooney AA et al. A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E). Environ Int. 2024.
- Lai H, Ge L, Sun M et al. Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models. JAMA Netw Open. 2024.
- Eisele-Metzger A, Lieberum JL, Toews M et al. Exploring the potential of Claude 2 for risk of bias assessment: Using a large language model to assess randomized controlled trials with RoB 2. Res Synth Methods. 2025.
- Huang J, Lai H, Zhao W et al. Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Evaluation Study. J Med Internet Res. 2025.
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LV.09 合併策略:能不能做 MA? (12 筆)
- Hedges LV, Olkin I. Vote-counting methods in research synthesis. Psychol Bull. 1980.
- Greenland S. Invited commentary: a critical look at some popular meta-analytic methods. Am J Epidemiol. 1994.
- Shapiro S. Meta-analysis/Shmeta-analysis. Am J Epidemiol. 1994.
- Egger M, Schneider M, Davey Smith G. Spurious precision? Meta-analysis of observational studies. BMJ. 1998.
- Ioannidis JP, Patsopoulos NA, Rothstein HR. Reasons or excuses for avoiding meta-analysis in forest plots. BMJ. 2008.
- Thomas J, Harden A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol. 2008.
- Tong A, Flemming K, McInnes E et al. Enhancing transparency in reporting the synthesis of qualitative research: ENTREQ. BMC Med Res Methodol. 2012.
- Murad MH, Mustafa RA, Schünemann HJ et al. Rating the certainty in evidence in the absence of a single estimate of effect. Evid Based Med. 2017.
- Mueller M, D'Addario M, Egger M et al. Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations. BMC Med Res Methodol. 2018.
- Deeks JJ, Higgins JPT, Altman DG. Chapter 10: Analysing data and undertaking meta-analyses. Cochrane Handbook for Systematic Reviews of Interventions (v6). 2019.
- McKenzie JE, Brennan SE. Chapter 12: Synthesizing and presenting findings using other methods. Cochrane Handbook for Systematic Reviews of Interventions (v6). 2019.
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LV.10 GRADE 與 Summary of Findings (28 筆)
- Atkins D, Best D, Briss PA et al. Grading quality of evidence and strength of recommendations. BMJ. 2004.
- Guyatt GH, Oxman AD, Kunz R et al. What is "quality of evidence" and why is it important to clinicians?. BMJ. 2008.
- Guyatt GH, Oxman AD, Vist GE et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008.
- Rosenbaum SE, Glenton C, Oxman AD. Summary-of-findings tables in Cochrane reviews improved understanding and rapid retrieval of key information. J Clin Epidemiol. 2010.
- Balshem H, Helfand M, Schünemann HJ et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011.
- Guyatt G, Oxman AD, Akl EA et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol. 2011.
- Guyatt GH, Oxman AD, Kunz R et al. GRADE guidelines 6. Rating the quality of evidence--imprecision. J Clin Epidemiol. 2011.
- Guyatt GH, Oxman AD, Kunz R et al. GRADE guidelines: 2. Framing the question and deciding on important outcomes. J Clin Epidemiol. 2011.
- Guyatt GH, Oxman AD, Kunz R et al. GRADE guidelines: 7. Rating the quality of evidence--inconsistency. J Clin Epidemiol. 2011.
- Guyatt GH, Oxman AD, Kunz R et al. GRADE guidelines: 8. Rating the quality of evidence--indirectness. J Clin Epidemiol. 2011.
- Guyatt GH, Oxman AD, Montori V et al. GRADE guidelines: 5. Rating the quality of evidence--publication bias. J Clin Epidemiol. 2011.
- Guyatt GH, Oxman AD, Sultan S et al. GRADE guidelines: 9. Rating up the quality of evidence. J Clin Epidemiol. 2011.
- Guyatt GH, Oxman AD, Vist G et al. GRADE guidelines: 4. Rating the quality of evidence--study limitations (risk of bias). J Clin Epidemiol. 2011.
- Andrews J, Guyatt G, Oxman AD et al. GRADE guidelines: 14. Going from evidence to recommendations: the significance and presentation of recommendations. J Clin Epidemiol. 2013.
- Andrews JC, Schünemann HJ, Oxman AD et al. GRADE guidelines: 15. Going from evidence to recommendation-determinants of a recommendation's direction and strength. J Clin Epidemiol. 2013.
- Guyatt G, Oxman AD, Sultan S et al. GRADE guidelines: 11. Making an overall rating of confidence in effect estimates for a single outcome and for all outcomes. J Clin Epidemiol. 2013.
- Guyatt GH, Oxman AD, Santesso N et al. GRADE guidelines: 12. Preparing summary of findings tables-binary outcomes. J Clin Epidemiol. 2013.
- Guyatt GH, Thorlund K, Oxman AD et al. GRADE guidelines: 13. Preparing summary of findings tables and evidence profiles-continuous outcomes. J Clin Epidemiol. 2013.
- Puhan MA, Schünemann HJ, Murad MH et al. A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. BMJ. 2014.
- Iorio A, Spencer FA, Falavigna M et al. Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients. BMJ. 2015.
- Alonso-Coello P, Schünemann HJ, Moberg J et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction. BMJ. 2016.
- Carrasco-Labra A, Brignardello-Petersen R, Santesso N et al. Improving GRADE evidence tables part 1: a randomized trial shows improved understanding of content in summary of findings tables with a new format. J Clin Epidemiol. 2016.
- Guyatt GH, Ebrahim S, Alonso-Coello P et al. GRADE guidelines 17: assessing the risk of bias associated with missing participant outcome data in a body of evidence. J Clin Epidemiol. 2017.
- Hultcrantz M, Rind D, Akl EA et al. The GRADE Working Group clarifies the construct of certainty of evidence. J Clin Epidemiol. 2017.
- Schünemann HJ, Cuello C, Akl EA et al. GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence. J Clin Epidemiol. 2019.
- Schünemann HJ, Mustafa RA, Brozek J et al. GRADE guidelines: 22. The GRADE approach for tests and strategies-from test accuracy to patient-important outcomes and recommendations. J Clin Epidemiol. 2019.
- Foroutan F, Guyatt G, Zuk V et al. GRADE Guidelines 28: Use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks. J Clin Epidemiol. 2020.
- Santesso N, Glenton C, Dahm P et al. GRADE guidelines 26: informative statements to communicate the findings of systematic reviews of interventions. J Clin Epidemiol. 2020.
LV.11 PRISMA 2020 報告 (16 筆)
- Shea BJ, Grimshaw JM, Wells GA et al. Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Med Res Methodol. 2007.
- Liberati A, Altman DG, Tetzlaff J et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009.
- Moher D, Liberati A, Tetzlaff J et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009.
- Shea BJ, Hamel C, Wells GA et al. AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews. J Clin Epidemiol. 2009.
- Panic N, Leoncini E, de Belvis G et al. Evaluation of the endorsement of the preferred reporting items for systematic reviews and meta-analysis (PRISMA) statement on the quality of published systematic review and meta-analyses. PLoS One. 2013.
- Hutton B, Salanti G, Caldwell DM et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med. 2015.
- Stewart LA, Clarke M, Rovers M et al. Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD Statement. JAMA. 2015.
- Pussegoda K, Turner L, Garritty C et al. Systematic review adherence to methodological or reporting quality. Syst Rev. 2017.
- Shea BJ, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ. 2017;358:j4008.
- McInnes MDF, Moher D, Thombs BD et al. Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: The PRISMA-DTA Statement. JAMA. 2018.
- Page MJ, McKenzie JE, Bossuyt PM et al. Mapping of reporting guidance for systematic reviews and meta-analyses generated a comprehensive item bank for future reporting guidelines. J Clin Epidemiol. 2020.
- Page MJ, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.
- Page MJ, McKenzie JE, Bossuyt PM et al. Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. J Clin Epidemiol. 2021.
- Page MJ, Moher D, Bossuyt PM et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. 2021.
- Haddaway NR, Page MJ, Pritchard CC et al. PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Syst Rev. 2022.
- Kolaski K, Logan LR, Ioannidis JPA. Guidance to best tools and practices for systematic reviews. Syst Rev. 2023.
LV.12 AI 時代的 Systematic Review (27 筆)
- Goddard K, Roudsari A, Wyatt JC. Automation bias: a systematic review of frequency, effect mediators, and mitigators. J Am Med Inform Assoc. 2012;19:121-7.
- Tsafnat G, Glasziou P, Choong MK et al. Systematic review automation technologies. Syst Rev. 2014.
- Ioannidis JP. The mass production of redundant, misleading, and conflicted systematic reviews and meta-analyses. Milbank Q. 2016;94:485-514.
- Koffel JB, Rethlefsen ML. Reproducibility of search strategies is poor in systematic reviews published in high-impact pediatrics, cardiology and surgery journals: a cross-sectional study. PLoS One. 2016;11(9):e0163309.
- McGowan J, et al. PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement. J Clin Epidemiol. 2016;75:40-6.
- Borah R, et al. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. BMJ Open. 2017;7:e012545.
- Bramer WM, et al. Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study. Syst Rev. 2017;6:245.
- Duyx B, et al. Scientific citations favor positive results: a systematic review and meta-analysis. J Clin Epidemiol. 2017;88:92-101.
- Beller E, Clark J, Tsafnat G et al. Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Syst Rev. 2018.
- Waffenschmidt S, et al. Single screening versus conventional double screening for study selection in systematic reviews: a methodological systematic review. BMC Med Res Methodol. 2019;19:132.
- Callaghan MW, Müller-Hansen F. Statistical stopping criteria for automated screening in systematic reviews. Syst Rev. 2020;9:273.
- Saginur M, et al. Journal impact factor, trial effect size, and methodological quality appear scantly related: a systematic review and meta-analysis. Syst Rev. 2020;9:53.
- Hu K, et al. Inconsistencies in study eligibility criteria are common between non-Cochrane systematic reviews and their protocols registered in PROSPERO. Res Synth Methods. 2021;12:394-405.
- Rethlefsen ML, et al. PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews. Syst Rev. 2021;10:39.
- Khalil H, Ameen D, Zarnegar A. Tools to support the automation of systematic reviews: a scoping review. J Clin Epidemiol. 2022.
- Bhattacharyya M, et al. High rates of fabricated and inaccurate references in ChatGPT-generated medical content. Cureus. 2023;15(5):e39238.
- Chen L, Zaharia M, Zou J. How is ChatGPT's behavior changing over time? arXiv:2307.09009. 2023.
- Walters WH, Wilder EI. Fabrication and errors in the bibliographic citations generated by ChatGPT. Sci Rep. 2023;13:14045.
- Chelli M, et al. Hallucination rates and reference accuracy of ChatGPT and Bard for systematic reviews: comparative analysis. J Med Internet Res. 2024;26:e53164.
- Dennstädt F, et al. Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain. Syst Rev. 2024;13:158.
- Guimarães NS, et al. Development of search strategies for systematic reviews in health using ChatGPT: a critical analysis. J Transl Med. 2024;22:1.
- Panickssery A, Bowman SR, Feng S. LLM evaluators recognize and favor their own generations. arXiv:2404.13076. 2024.
- Flemyng E, et al. Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence 2025. Campbell Syst Rev. 2025(另同步刊於 JBI Evid Synth、Environ Evid).
- Lin HT, Yeh JT. meta-pipe: AI-assisted, end-to-end meta-analysis pipeline with reproducible tooling [software]. GitHub. commit 5c5c3f0 (2026-09-23).
- Lin HT. Robust Literature Review Pipeline [software]. GitHub. Version 1.0.0; commit e2dbfa2 (2026-09-09). 2026.
- Purewal A, et al. Human versus artificial intelligence: evaluating ChatGPT's performance in conducting published systematic reviews with meta-analysis in chronic pain research. Reg Anesth Pain Med. 2026.
- Xie C, et al. Performance of large language models in automated medical literature screening: a systematic review and meta-analysis. J Evid Based Med. 2026.