Other publications by GRADE Working Group | Cochrane

Only our evidence Only "Handbook" Exclude our evidence Exclude news

This content is available only in English

Since 2003, the GRADE Working Group has published a large number of publications related to the GRADE methodology. A series of guidance articles has been published in Journal of Clinical Epidemiology. Below is the list of other papers published by the GRADE Working Group.

GRADE introduction 2003

Letters, numbers, symbols and words: how to communicate grades of evidence and recommendations

GRADE adaptation and contextualization

GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT

GRADE certainty of evidence concepts

Interpreting GRADE's levels of certainty or quality of the evidence: GRADE for statisticians, considering review information size or less emphasis on imprecision?

The GRADE Working Group clarifies the construct of certainty of evidence

Defining ranges for certainty ratings of diagnostic accuracy: a GRADE concept paper

GRADE concept papers

GRADE Concept Paper 1: Validating the "F.A.C.E" instrument using stakeholder perceptions of feasibility, acceptability, cost, and equity in guideline implement
An approach to quantifying the potential importance of residual confounding in systematic reviews of observational studies: A GRADE concept paper
Challenges in applying the GRADE approach in public health guidelines and systematic reviews: a concept article from the GRADE Public Health Group

Developing trustworthy recommendations as part of an urgent response (1-2 weeks): a GRADE concept paper.

GRADE concepts on net benefit

Defining certainty of net benefit: a GRADE concept paper

GRADE credentialing and competency

The skills and experience of GRADE methodologists can be assessed with a simple tool

GRADE environmental health and causality

GRADE guidelines for environmental and occupational health: A new series of articles in Environment International

The GRADE approach and Bradford Hill's criteria for causation

Using GRADE to respond to health questions with different levels of urgency

A risk of bias instrument for non-randomized studies of exposures: A users' guide to its application in the context of GRADE

GRADE equity

Considering health equity when moving from evidence-based guideline recommendations to implementation: a case study from an uppermiddle income country on the GRADE approach

GRADE Evidence to Decision frameworks

The GRADE evidence-to-decision framework: a report of its testing and application in 15 international guideline panels

GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction

GRADE Evidence to Decision (EtD) frameworks: a systematicand transparent approach to making well informed healthcarechoices. 2: Clinical practice guidelines

GRADE Evidence to Decision (EtD) framework for coverage decisions

The GRADE Evidence to Decision (EtD) framework for health system and public health decisions

Using GRADE evidence to decision frameworks to choose from multiple interventions

GRADE for diagnosis

Application of GRADE: Making evidence-based recommendations about diagnostic tests in clinical practice guidelines

GRADE for preclinical animal studies

Facilitating healthcare decisions by assessing the certainty in the evidence from preclinical animal studies

GRADE for urgency situations

Using GRADE to respond to health questions with different levels of urgency

Using GRADE in situations of emergencies and urgencies: certainty in evidence and recommendations matters during the COVID-19 pandemic, now more than ever and no matter what

Developing trustworthy recommendations as part of an urgent response (1-2 weeks): a GRADE concept paper

GRADE good practice statements

Guideline panels should seldom make good practice statements: guidance from the GRADE Working Group

GRADE narrative summaries

Rating the certainty in evidence in the absence of a single estimate of effect

GRADE network meta-analysis (NMA)

Development of the summary of findings table for network meta-analysis

GRADE approach to drawing conclusions from a network meta-analysis using a partially contextualised framework

GRADE approach to drawing conclusions from a network meta-analysis using a minimally contextualised framework

A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis

GRADE overview for systematic reviews

Using systematic reviews in guideline development: the GRADE approach

GRADE prognosis

Uncertainties in baseline risk estimates and confidence in treatment effects

Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients

Trusted evidence.
Informed decisions.
Better health.

11-13 Cavendish Square
London
W1G 0AN
Inggris

The Cochrane Collaboration is a charity (no. 1045921) and a company limited by guarantee (no. 03044323) registered in England & Wales. VAT registration number GB 718 2127 49.

Copyright © 2025 The Cochrane Collaboration

Website Terms & Conditions | Penyangkalan | Privacy | Cookie policy | Cookie settings

Our use of cookies

We use necessary cookies to make our site work. We'd also like to set optional analytics cookies to help us improve it. We won't set optional cookies unless you enable them. Using this tool will set a cookie on your device to remember your preferences. You can always change your cookie preferences at any time by clicking on the 'Cookies settings' link in the footer of every page.
For more detailed information about the cookies we use, see our Cookies page.

Necessary cookies Necessary cookies enable core functionality such as security, network management, and accessibility. You may disable these by changing your browser settings, but this may affect how the website functions.
Analytics We'd like to set cookies so we can analyse our website usage with Matomo, to help us to improve our website and content. The data is anonymised and not shared with any third party. For more information see our Cookies page.

Accept all

Konfigurasi