Evidence map›Paper›PMID 39806401›Full record

ArticleSystematic reviews2025

Evidence Communication Rules for Policy (ECR-P) critical appraisal tool.

Evangelos Danopoulos, John A D Aston, Aarushi Shah, Claudia R Schneider

Abstract read
In one paragraph

Article in Systematic reviews, 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

4 authors.

Evangelos DanopoulosStatistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK. en406@cam.ac.uk.ORCID 0000-0002-9186-8811
John A D AstonStatistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.
Aarushi ShahStatistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.
Claudia R SchneiderStatistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScientific papers increasingly put forward scientific-based policy recommendations (SPRs) as a means of closing the circle of science, policy and practice. Assessing the quality of such SPRs is crucial, especially within the context of a systematic review. Here, we present ECR-P (Evidence Communication Rules for Policy)-a critical appraisal tool that we have developed, which can be used in assessing not only the quality of SPRs but also the quality of their evidence base and how effectively these have both been communicated.

methodsThe rationale behind ECR-P centres on three dimensions of quality; two are the well-established concepts of internal and external validity. Here, we introduce a third-evidence communication-encompassing both evidence veracity and quality of communication. Elements of the three dimensions of quality are considered within the context of the five rules of evidence communication. These are as follows: inform, not persuade; offer balance, not false balance; disclose uncertainties; state evidence quality and pre-empt misunderstandings.

resultsDevelopment of ECR-P has been carried out by an interdisciplinary team and was piloted with a systematic review reported more fully elsewhere. ECR-P comprises a set of preliminary considerations which capture key aspects for the assessment, leading on to the main tool whose structure is domain-based, each domain mapping to one of the five rules of evidence communication. The domains include 25 signalling questions designed to obtain essential information for the critical appraisal. The questions focus on either the study's evidence or the policy recommendations. Domain-based judgement is derived from responses to the signalling questions and an accompanying algorithm, followed by an overall quality judgement.

conclusionsECR-P has been designed to provide a standardised and transparent approach to assess the quality and communication of SPRs and their evidence base. The tool, which could be applied across all scientific fields, has been developed to fit primarily with the systematic reviewing process but could also serve as a stand-alone tool. Besides review assessors, it can also be used by policymakers, researchers, peer reviewers, editors and any other stakeholders interested in evidence-based policymaking and high-quality evidence communication. We encourage further independent testing of the tool in real-world evidence-based research.

Indexed as

CommunicationEvidence-Based MedicinePolicy MakingHumansSystematic Reviews as TopicCritical appraisalPolicymakingPolicy recommendationsQuality assessmentRisk of bias tool

Identifiers

PMID39806401
PMCPMC11727712

What OpenQuestion holds

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Registered trials

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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.