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Gordon H. Guyatt

@guyattgh.bsky.social
134 followers 15 following 165 posts

Promoting use of the best evidence and patient values and preferences to inform optimal clinical and health policy decisions.

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Gordon H. Guyatt @guyattgh.bsky.social · 07/09/2026
3434 held-out Cochrane reviews. Median specificity 0.9 at 99% recall. The model runs locally: no per-abstract cost, no data leaving the machine. Method paper in press at JCE. Screening no longer decides what a small team can attempt. Disclosure: co-founder, I hold equity youtube.com/watch?v=JxQT...
youtube.com
Systematic Review Data Extraction Guide
YouTube video by CoreSR
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Gordon H. Guyatt @guyattgh.bsky.social · 07/09/2026
A systematic review takes one to two years. Very little of that time goes to thinking. It goes to moving citations between disconnected tools. We built CoreSR to strip that out and return the reviewer's time to judgment. youtube.com/@CoreSR coresr.ai
youtube.com
CoreSR
One platform for the entire evidence synthesis pipeline. Screening → NMA → GRADE → manuscript. AI-assisted, researcher-controlled.
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
Just published: How we should be educating clinicians in #EBM concepts in 2026. Includes guidance to put much less emphasis on critical appraisal and much more on understanding magnitudes of effect and quality of evidence, and use of #AI in education. ebm.bmj.com/content/earl...
ebm.bmj.com
Educating health professionals in evidence-based practice in 2026
Early formulations of evidence-based medicine and healthcare emphasised the ability of health professionals to formulate questions, search for and critically appraise individual studies to inform thei...
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
Frequently, at meetings, two participants start talking about an issue of very limited interest to the others. Frustrated, I interrupt, asking them to finish this part of the conversation separately. In planning agendas I make sure topics of interest to all; separate meetings for topics that are not
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
#Microsimulation modelling often an extremely useful alternative to traditional #DecisionAnalysis modelling for estimating the impact of interventions on patient-important outcomes. Here, great example from alternative #ColonCancer #screening strategies. pubmed.ncbi.nlm.nih.gov/31578177/
pubmed.ncbi.nlm.nih.gov
Colorectal cancer screening with faecal immunochemical testing, sigmoidoscopy or colonoscopy: a microsimulation modelling study - PubMed
Over a 15 year period, all screening strategies may reduce colorectal cancer mortality to a similar extent. Colonoscopy and sigmoidoscopy may also reduce colorectal cancer incidence, while FIT shows a...
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
#Lancet Commission report in the first #Trump administration presaged events in the second: adverse impact of income inequality on health; increasing coverage barriers, increased #uninsured; environmental rollbacks increased pollution-related #mortality. pubmed.ncbi.nlm.nih.gov/33581802/
pubmed.ncbi.nlm.nih.gov
Public policy and health in the Trump era - PubMed
Public policy and health in the Trump era
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
As an educator, patience is crucial. Sometimes students grasp concepts quickly, others, not so much. Recently after an hour on a concept the student understood and commented on my patience. From whence comes my patience? Metaphor: when the lights go on, the world gets brighter
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
#RCT evidence supporting optimal presentation of #GRADE summary of finding tables: present risk in control, risk in intervention, difference between with confidence interval, include reasons for rating down in table rather than footnotes, and plain language summary. pubmed.ncbi.nlm.nih.gov/26791430/
pubmed.ncbi.nlm.nih.gov
Improving GRADE evidence tables part 1: a randomized trial shows improved understanding of content in summary of findings tables with a new format - PubMed
While providing at least similar levels of understanding for some items and increased understanding for others, users prefer the new format of SoF tables.
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
Breakthrough original concept in #BMJ: #Guideline recommendations should consider time needed to treat. Useless or marginally beneficial #screening and advising #patients on #lifestyle can eat up huge portion of primary doc’s time, divert from useful activities. pubmed.ncbi.nlm.nih.gov/36596571/
pubmed.ncbi.nlm.nih.gov
Guidelines should consider clinicians' time needed to treat - PubMed
Guidelines should consider clinicians' time needed to treat
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
My daughter Claire finishing a psychology Masters submitted her first major paper. A reviewer wants a propensity analysis. Claire asks: what do I do if analysis goes badly. My answer: worry about that when it happens. Lots of our suffering results from worrying about what may never happen.
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Gordon H. Guyatt @guyattgh.bsky.social · 21/07/2026
Just published, brilliant observation enhances understanding of the utility of #ClinicalPrediction rules. The closer the threshold for action (e.g. treat/don’t treat) to the population prevalence of the CPR target (e.g. likelihood of stroke), the more useful the CPR pubmed.ncbi.nlm.nih.gov/42044720/
pubmed.ncbi.nlm.nih.gov
Discriminating clinical prediction models: how outcome incidence and decision thresholds shape clinical utility and apt AUROC values - PubMed
Whether a clinical prediction model's AUROC is "good" cannot be judged in isolation. Clinical usefulness arises from the joint relationship between discrimination, outcome incidence, and decision thre...
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Gordon H. Guyatt @guyattgh.bsky.social · 21/06/2026
With former student, now dear friend and colleague Luis Colunga, on my deck at home after vigorous bike ride in the woods. Our latest collaboration highlighted what is new in Core #GRADE. pubmed.ncbi.nlm.nih.gov/41207400/
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Gordon H. Guyatt @guyattgh.bsky.social · 21/06/2026
In classic paper I argue direct linguistic translation of patient-reported outcome measure (PROMs) enshrines biases, fails to capture cross-cultural differences. Solution: strong conceptual definition of what you want to measure, flexibility in translation/adaptation pubmed.ncbi.nlm.nih.gov/8161980/
pubmed.ncbi.nlm.nih.gov
The philosophy of health-related quality of life translation - PubMed
Conventional translation strategies are limited because they enshrine deficiencies of the original questionnaire and do not permit modifications that reflect differences in culture and values. An alte...
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Gordon H. Guyatt @guyattgh.bsky.social · 21/06/2026
Common misguided definition of #IntentionToTreat requires attributing outcomes to every randomized patient and requires making up data for those lost to follow-up. Better: #ITT analyzes patients followed in groups to which they are randomized. pubmed.ncbi.nlm.nih.gov/23166608/
pubmed.ncbi.nlm.nih.gov
Inconsistent definitions for intention-to-treat in relation to missing outcome data: systematic review of the methods literature - PubMed
We found that there is no consensus on the definition of ITT in relation to MOD. For conceptual clarity, we suggest that both reports of randomized trials and systematic reviews separately consider an...
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Gordon H. Guyatt @guyattgh.bsky.social · 14/06/2026
Central principles for meeting minutes: As succinct as possible, include only what you need for reviewing if want to check what happened. So unproductive discussion with no clear decision or action: no need to include the item in the minutes.
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Gordon H. Guyatt @guyattgh.bsky.social · 14/06/2026
Pooling #PROs: some studies report risk differences, some continuous. Solution: convert continuous to risk differences. Pivotal study: when conversion applied to papers reporting both continuous and dichotomous for same outcomes, conversion worked well. Hurray! pubmed.ncbi.nlm.nih.gov/23045205/
pubmed.ncbi.nlm.nih.gov
Methods to convert continuous outcomes into odds ratios of treatment response and numbers needed to treat: meta-epidemiological study - PubMed
The methods by HH, CS, FU and SU are suitable to convert summary treatment effects calculated from continuous outcomes into odds ratios of treatment response and NNTs, whereas the method by KK is unsu...
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Gordon H. Guyatt @guyattgh.bsky.social · 14/06/2026
Unsolicited feedback on #BMJ Core GRADE from Aye Paing, #NICE Senior Analyst. “The series is clear, practical, and far more straightforward than many of the approaches in the #GRADE Book. The way Core GRADE distils the essential concepts without losing rigour is incredibly helpful."
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Gordon H. Guyatt @guyattgh.bsky.social · 14/06/2026
This article provides optimal strategies for reporting #pain in #RCTs and #SystematicReviews. pubmed.ncbi.nlm.nih.gov/25979719/
pubmed.ncbi.nlm.nih.gov
Optimal Strategies for Reporting Pain in Clinical Trials and Systematic Reviews: Recommendations from an OMERACT 12 Workshop - PubMed
Presentation of relative effects regarding pain will facilitate interpretation of treatment effects.
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Gordon H. Guyatt @guyattgh.bsky.social · 14/06/2026
#SystematicReview authors often face the challenge that authors of primary studies sometimes present effects as continuous outcomes, sometimes relative effects. One would like to pool them together. Solution: change continuous to binary. pubmed.ncbi.nlm.nih.gov/23045205/
pubmed.ncbi.nlm.nih.gov
Methods to convert continuous outcomes into odds ratios of treatment response and numbers needed to treat: meta-epidemiological study - PubMed
The methods by HH, CS, FU and SU are suitable to convert summary treatment effects calculated from continuous outcomes into odds ratios of treatment response and NNTs, whereas the method by KK is unsu...
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Gordon H. Guyatt @guyattgh.bsky.social · 14/06/2026
Question at meeting: limitations of #GRADE? My answer: For eminent individuals with their own perceptions of the evidence and with strong views about how clinicians should best treat their patients, GRADE hierarchy of evidence and emphasis on patient values can be unpleasantly constraining.
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Gordon H. Guyatt @guyattgh.bsky.social · 14/06/2026
Optimizing the integration of #RandomizedTrial #RCT and observational studies of interventions in #SystematicReviews and health #guidelines can be challenging. This #GRADE guidance tells you how. pubmed.ncbi.nlm.nih.gov/34800676/
pubmed.ncbi.nlm.nih.gov
GRADE guidance 24 optimizing the integration of randomized and non-randomized studies of interventions in evidence syntheses and health guidelines - PubMed
This work aims to help methodologists in review teams, technology assessors, guideline panelists, and anyone conducting evidence syntheses using GRADE.
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Gordon H. Guyatt @guyattgh.bsky.social · 25/05/2026
This outstanding #BMJ recently published paper provides a lucid, pragmatic step-by-step guide to applying #GRADE to Network #MetaAnalysis. Already justifiably widely cited. pubmed.ncbi.nlm.nih.gov/37369385/
pubmed.ncbi.nlm.nih.gov
A guide and pragmatic considerations for applying GRADE to network meta-analysis - PubMed
A guide and pragmatic considerations for applying GRADE to network meta-analysis
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Gordon H. Guyatt @guyattgh.bsky.social · 25/05/2026
Student has insight into one’s strengths and appreciates. This one about highly respected colleague: Dr. Meade challenged me more than any other mentor. Only those who are truly invested in your growth will hold you to such a high standard, and for that I am deeply grateful.
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Gordon H. Guyatt @guyattgh.bsky.social · 25/05/2026
From a remarkable three-part Users Guide series in #JAMA regarding #genetic association studies that clarifies and simplifies concepts like no other guide. This one addressed validity of genetic association studies. pubmed.ncbi.nlm.nih.gov/19141767/
pubmed.ncbi.nlm.nih.gov
How to use an article about genetic association: B: Are the results of the study valid? - PubMed
In the first article of this series, we reviewed the basic genetics concepts necessary to understand genetic association studies. In this second article, we enumerate the major issues in judging the v...
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Gordon H. Guyatt @guyattgh.bsky.social · 25/05/2026
This paper from a series of tips for learners of evidence-based medicine #EBM provides a lucid step by step to decipher heterogeneity in #MetaAnalysis. pubmed.ncbi.nlm.nih.gov/15738493/
pubmed.ncbi.nlm.nih.gov
Tips for learners of evidence-based medicine: 4. Assessing heterogeneity of primary studies in systematic reviews and whether to combine their results - PubMed
Tips for learners of evidence-based medicine: 4. Assessing heterogeneity of primary studies in systematic reviews and whether to combine their results
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Gordon H. Guyatt @guyattgh.bsky.social · 25/05/2026
I seldom recommend protocols for potential scrutiny. However, for those interested in measurement of patient values & preferences, in particular patient MID crucial for #GRADE and #guideline development, this just published highly original ground-breaking work. pubmed.ncbi.nlm.nih.gov/41969831/
pubmed.ncbi.nlm.nih.gov
Exploring methodology for investigating Chinese coronary artery disease patient values and preferences: A methodological study protocol - PubMed
This study will develop standard materials for surveying patient values and determining MIDs in Chinese CAD patients. The resulting methodology will support future investigations into patient-importan...
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Gordon H. Guyatt @guyattgh.bsky.social · 11/05/2026
Many clinical practice #guidelines claim to follow #GRADE, yet adherence poor. Just published paper identifies 11 checklists assessing adherence, all with serious limitations. Definitive GRADE-Check under development, upcoming presentation at GIN conference. pubmed.ncbi.nlm.nih.gov/41722827/
pubmed.ncbi.nlm.nih.gov
Evaluation of grading of recommendations assessment, development, and evaluation approach adherence in clinical practice guidelines: a systematic survey of criteria and their applications - PubMed
Many medical guidelines say that they use a trusted scientific method called GRADE to make their advice reliable. But we neither know if they actually follow it correctly nor were there good tools to ...
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Gordon H. Guyatt @guyattgh.bsky.social · 11/05/2026
This classic @jama.com Users’ Guide to the medical literature lucidly tells you what you need to know to understand and a apply a #guideline and recommendation regarding a #screening intervention. pubmed.ncbi.nlm.nih.gov/10359392/
pubmed.ncbi.nlm.nih.gov
Users' guides to the medical literature: XVII. How to use guidelines and recommendations about screening. Evidence-Based Medicine Working Group - PubMed
Users' guides to the medical literature: XVII. How to use guidelines and recommendations about screening. Evidence-Based Medicine Working Group
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Gordon H. Guyatt @guyattgh.bsky.social · 11/05/2026
Progression-free-survival is a common #oncology #SurrogateOutcome substituting for #mortality (can’t trust it) and health-related #QualityofLife. This empirical study demonstrates very low association with #HRQL. Too bad! pubmed.ncbi.nlm.nih.gov/30285081/
pubmed.ncbi.nlm.nih.gov
Evaluating Progression-Free Survival as a Surrogate Outcome for Health-Related Quality of Life in Oncology: A Systematic Review and Quantitative Analysis - PubMed
We failed to find a significant association between PFS and HRQoL in cancer clinical trials. These findings raise questions regarding the assumption that interventions prolonging PFS also improve HRQo...
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Gordon H. Guyatt @guyattgh.bsky.social · 04/05/2026
More evidence of #AI limitations in guiding clinical care. Exploration of its use in clinical reasoning found not bad in final #diagnosis and management but error rates in differential diagnosis of 80%. jamanetwork.com/journals/jam...
jamanetwork.com
Large Language Model Performance and Clinical Reasoning Tasks
This cross-sectional study evaluates the end-to-end clinical reasoning ability of off-the-shelf large language models using standardized clinical vignettes and introduces a multidimensional comprehens...
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Gordon H. Guyatt @guyattgh.bsky.social · 04/05/2026
Just published common pitfalls in using #GRADE: not understanding I2 limitations; neglecting checking optimal information size when effect large; forgetting that certainty is a continuum and as a result getting ratings wrong. Reviewers loved paper: very helpful! pubmed.ncbi.nlm.nih.gov/41796757/
pubmed.ncbi.nlm.nih.gov
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Gordon H. Guyatt @guyattgh.bsky.social · 28/04/2026
This classic @jama.com Users’ Guide to the medical literature lucidly tells you what you need to know to understand and a apply a #guideline and recommendation regarding a screening intervention. pubmed.ncbi.nlm.nih.gov/10359392/
pubmed.ncbi.nlm.nih.gov
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Gordon H. Guyatt @guyattgh.bsky.social · 28/04/2026
This clear, straightforward guide to publication bias and related issues was written with a clinician audience in mind. pubmed.ncbi.nlm.nih.gov/11126838/
pubmed.ncbi.nlm.nih.gov
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Gordon H. Guyatt @guyattgh.bsky.social · 28/04/2026
I review colleague’s paper, find a section that doesn’t fit, we must drop. Her reply: I was reluctant to remove the content that I carefully wrote although I understood it didn’t belong. A very painful moment of academic life I’ve oft experienced: dropping material I’ve worked so hard to produce!
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Gordon H. Guyatt @guyattgh.bsky.social · 20/04/2026
Interpreting network #MetaAnalysis (NMA) to decide the best treatments is challenging. #GRADE’s guidance to deciding which are among the best, intermediate, and among the worst, in the @bmj.com, by far the best approach available. pubmed.ncbi.nlm.nih.gov/33177059/
pubmed.ncbi.nlm.nih.gov
GRADE approach to drawing conclusions from a network meta-analysis using a minimally contextualised framework - PubMed
GRADE approach to drawing conclusions from a network meta-analysis using a minimally contextualised framework
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Gordon H. Guyatt @guyattgh.bsky.social · 20/04/2026
This study in @annalsofim.bsky.social highlights ethical problems in stopping trials early for benefit: seriously inflated overestimates of treatment effect violates ethical requirements of scientific validity and social value and leads to misguided patient choices. pubmed.ncbi.nlm.nih.gov/17577007/
pubmed.ncbi.nlm.nih.gov
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Gordon H. Guyatt @guyattgh.bsky.social · 20/04/2026
Spice-GRADE: methodological breakthrough for #GRADE. New methods showing how indirect evidence from epidemiological investigations of mechanistic causal pathways can complement direct evidence. pubmed.ncbi.nlm.nih.gov/41802581/
pubmed.ncbi.nlm.nih.gov
SPICE-GRADE: simultaneous processing of indirect causal evidence in complex pathways using GRADE - an exploratory case study - PubMed
In this case study, we illustrate SPICE-GRADE as a structured way of mapping and assessing multiple causal links within the GRADE framework. Establishing SPICE-GRADE as a robust methodology for GRADE ...
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Gordon H. Guyatt @guyattgh.bsky.social · 13/04/2026
Researchers sometimes interested in measuring agreement. Could be in physical examination, imaging evaluation, specimen evaluation or in measurement instruments such as risk of bias or guideline quality. This step-by-step guide to conducting such a study is THE BEST pubmed.ncbi.nlm.nih.gov/19411507/
pubmed.ncbi.nlm.nih.gov
Evaluating agreement: conducting a reliability study - PubMed
Instruments that are useful in clinical or research practice will, when the object of measurement is stable, yield similar results when applied at different times, in different situations, or by diffe...
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Gordon H. Guyatt @guyattgh.bsky.social · 13/04/2026
#Guidelines often rely on the intuition of panels and can therefore remain opaque to outside observers. This paper demonstrates how a decision-analytical framework provides an explicit and transparent integration of the best available evidence on benefits and harms pubmed.ncbi.nlm.nih.gov/41558032/
pubmed.ncbi.nlm.nih.gov
How to determine the optimal duration of anticoagulation for VTE: an evidence-based decision-analytical approach - PubMed
When advising patients on the optimal duration of anticoagulation for venous thromboembolism (VTE), current management often relies on the intuition of treating physicians and guideline panels, an app...
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Gordon H. Guyatt @guyattgh.bsky.social · 13/04/2026
Trade-offs in #vaginal vs #caesarian delivery: #SystematicReview vaginal delivery associated with almost twofold increase in the risk of developing leakage with exertion (Stress Incontinence), smaller increase on leakage in association with urgency. pubmed.ncbi.nlm.nih.gov/26874810/
pubmed.ncbi.nlm.nih.gov
Long-term Impact of Mode of Delivery on Stress Urinary Incontinence and Urgency Urinary Incontinence: A Systematic Review and Meta-analysis - PubMed
In this systematic review we looked for the long-term effects of childbirth on urinary leakage. We found that vaginal delivery is associated with an almost twofold increase in the risk of developing l...
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Gordon H. Guyatt @guyattgh.bsky.social · 13/04/2026
Compelling evidence that if clinical trialists interested in the impact of treatment on health-related #qualityoflife include only generic measures & fail to include responsive & valid disease-specific measures in their #RCTs, they risk missing the crucial signal. pubmed.ncbi.nlm.nih.gov/10210235/
pubmed.ncbi.nlm.nih.gov
Generic and specific measurement of health-related quality of life in a clinical trial of respiratory rehabilitation - PubMed
The purpose of this study was to compare the performance of measures of health-related quality of life in a randomized controlled trial of respiratory rehabilitation versus conventional community care...
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Gordon H. Guyatt @guyattgh.bsky.social · 29/03/2026
A crucial – though challenging – EBM concept is the distinction between baseline risk vs effect modification/subgroup analysis. After years struggling to teach, I discovered this exercise that succeeds brilliantly. Find it in the next to latest Core #GRADE FAQ. www.clarityresearch.ca/frequently-a...
clarityresearch.ca
Clarity
CLARITY represents the formal alliance of a group of researchers who have enjoyed a long-standing and fruitful collaboration. Through formal collaboration, Clarity's clinical advances through research...
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Gordon H. Guyatt @guyattgh.bsky.social · 29/03/2026
In network #MetaAnalysis (NMA) sparse networks sometimes yield bizarrely wide #ConfidenceIntervals. The solution we discovered after trying many alternatives perhaps surprising: switch from random effects to fixed effect. pubmed.ncbi.nlm.nih.gov/30253217/
pubmed.ncbi.nlm.nih.gov
GRADE approach to rate the certainty from a network meta-analysis: avoiding spurious judgments of imprecision in sparse networks - PubMed
When direct and indirect estimates of treatment effects are coherent, network meta-analysis (NMA) estimates should have increased precision (narrower confidence or credible intervals compared with relying on direct estimates alone), a benefit of NMA. We have, however, observed cases of sparse networ …
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Gordon H. Guyatt @guyattgh.bsky.social · 29/03/2026
The #JAMA Users’ Guide to the Medical Literature is the best existing tutorial on adjusted analysis taking the learner from the basic principles to regression and contrasting with propensity matching, highlighting the (limited) advantages of propensity. pubmed.ncbi.nlm.nih.gov/28241362/
pubmed.ncbi.nlm.nih.gov
Adjusted Analyses in Studies Addressing Therapy and Harm: Users' Guides to the Medical Literature - PubMed
Observational studies almost always have bias because prognostic factors are unequally distributed between patients exposed or not exposed to an intervention. The standard approach to dealing with this problem is adjusted or stratified analysis. Its principle is to use measurement of risk factors to …
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Gordon H. Guyatt @guyattgh.bsky.social · 23/03/2026
This wonderful educational plan describes how to teach learners new to #EBM to understand relative risk reductions and to differentiate them from absolute risk reduction as well as number needed to treat. pubmed.ncbi.nlm.nih.gov/15313996/
pubmed.ncbi.nlm.nih.gov
Tips for learners of evidence-based medicine: 1. Relative risk reduction, absolute risk reduction and number needed to treat - PubMed
Tips for learners of evidence-based medicine: 1. Relative risk reduction, absolute risk reduction and number needed to treat
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Gordon H. Guyatt @guyattgh.bsky.social · 23/03/2026
Most useful innovation in #BMJ Core #GRADE series are algoritms to take your though #riskofbias, #imprecision, and #inconsistency. But #indirectness – nothing until publication last month of an indirectness algorithm we developed after publication of the series. pubmed.ncbi.nlm.nih.gov/41386580/
pubmed.ncbi.nlm.nih.gov
A decision algorithm for assessing indirectness in core GRADE - PubMed
A decision algorithm for assessing indirectness in core GRADE
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Gordon H. Guyatt @guyattgh.bsky.social · 23/03/2026
Assessing #incoherence – differences between direct and indirect estimates in a network #MetaAnalysis (NMA) can be challenging. This lucid article describes the #GRADE approach to addressing the issue pubmed.ncbi.nlm.nih.gov/30529648/
pubmed.ncbi.nlm.nih.gov
GRADE approach to rate the certainty from a network meta-analysis: addressing incoherence - PubMed
This article presents official guidance from the Grading of Recommendations Assessments, Development, and Evaluation (GRADE) working group on how to address incoherence when assessing the certainty in the evidence from network meta-analysis. Incoherence represents important differences between direc …
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Gordon H. Guyatt @guyattgh.bsky.social · 13/03/2026
A few months ago – 48 years after graduation from medical school - I did my last clinical rotation in hospital-based general internal medicine and hung up my stethoscope. Now, more time for research, graduate student supervision, research, and local and international #EBM teaching.
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Gordon H. Guyatt @guyattgh.bsky.social · 13/03/2026
Looking at an #RCT to decide who among #patients, #clinicians, data collectors, et al is #blinded and it’s not clear and explicit? Happens often. Fortunately, almost always enough clues that if you follow instructions in this paper you will make the right inference. pubmed.ncbi.nlm.nih.gov/22200346/
pubmed.ncbi.nlm.nih.gov
Specific instructions for estimating unclearly reported blinding status in randomized trials were reliable and valid - PubMed
With the possible exception of blinding of data analysts, use of "probably yes" and "probably no" instead of "unclear" may enhance the assessment of blinding in trials.
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Gordon H. Guyatt @guyattgh.bsky.social · 08/03/2026
Latest frequently asked question regarding Core #GRADE: What should a #guideline panel do when they suspect baseline difference in risk warrant different #recommendations in two groups, but no review of #prognosis available? If you have a question, email me. www.clarityresearch.ca/frequently-a...
clarityresearch.ca
Clarity
CLARITY represents the formal alliance of a group of researchers who have enjoyed a long-standing and fruitful collaboration. Through formal collaboration, Clarity's clinical advances through research...
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