Evidence map›Paper›PMID 42740725›Full record

ArticleClinical and public health guidelines2025

Protocol for the Creation of the Guidelines International Network-McMaster Guideline Development Checklist Extension for Integrating Artificial Intelligence in the Guideline Enterprise (Guidelines-Artificial Intelligence Extension).

Manuel Marques-Cruz, Bernardo Sousa-Pinto, Wojtek Wiercioch, Marge Reinap, Ignacio Neumann, Yuan Chi, Artur Nowak, Mariette Awad, Monika Nothacker, Jan Brozek and 4 more

Abstract read
In one paragraph

Article in Clinical and public health guidelines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Manuel Marques-CruzMEDCIDS - Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine University of Porto Porto Portugal.
Bernardo Sousa-PintoMEDCIDS - Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine University of Porto Porto Portugal.ORCID https://orcid.org/0000-0002-1277-3401
Wojtek WierciochMichael G. DeGroote Cochrane Canada & McMaster GRADE Centres McMaster University Hamilton Ontario Canada.ORCID https://orcid.org/0000-0001-6576-1650
Marge ReinapWHO Regional Office for Europe Copenhagen Denmark.
Ignacio NeumannSchool of Medicine Universidad San Sebastián Santiago Chile.
Yuan ChiDepartment of Health Research Methods, Evidence and Impact McMaster University Hamilton Ontario Canada.
Artur NowakEvidence Prime Hamilton Ontario Canada.ORCID https://orcid.org/0000-0001-7862-5797
Mariette AwadDepartment of Electrical and Computer Engineering American University of Beirut Beirut Lebanon.
Monika NothackerAWMF (Association of the Scientific Medical Societies in Germany) Institute for Medical Knowledge Management University of Marburg Marburg Germany.
Jan BrozekMichael G. DeGroote Cochrane Canada & McMaster GRADE Centres McMaster University Hamilton Ontario Canada.
Pablo Alonso-CoelloInstitut de Recerca Sant Pau (IR SANT PAU) Barcelona Spain.
Amir QaseemAmerican College of Physicians Philadelphia Pennsylvania USA.
Elie A AklDepartment of Internal Medicine American University of Beirut Beirut Lebanon.
Holger J SchünemannClinical Epidemiology and Research Center (CERC), IRCCS Humanitas Research Hospital Humanitas University Milan Italy.ORCID https://orcid.org/0000-0003-3211-8479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Artificial intelligence (AI) has the potential to support processes of the guideline enterprise. To support the adequate preplanning and the transparent reporting of the use of AI in the guideline enterprise, the Guidelines International Network (GIN) proposed the development of an extension of the GIN-McMaster Guideline Development Checklist (GDC) for the use of AI in guidelines. Here we describe the protocol for the development of this extension. Methods: We will follow a multiphase approach to generate an extension of the GIN-McMaster GDC. We will start by prompting a large language model to suggest relevant items for the extension. We will subsequently revise the obtained outputs in an iterative process involving the different elements of the working group. This iterative process will be informed by a scoping review. We will then reach different stakeholders to test the proposed checklist extension on their easiness of use, implementation, feasibility and reasonability. Questions: This protocol lays the ground for the development of an extension to the GIN-McMaster GDC for the use of AI in guidelines. This extension will support the adequate use of AI in the guideline enterprise.

Indexed as

artificial intelligenceguidelinesprotocol

Identifiers

PMID42740725
PMCPMC13563313

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.