Evidence map›Paper›PMID 42327453›Full record

Articlenpj environmental social sciences2026

Blurring evidence with advocacy: a systematic review of policy recommendations for net zero.

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

Abstract read
In one paragraph

Article in npj environmental social sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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, United Kingdom.
Aarushi ShahStatistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom.
Claudia R SchneiderStatistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom.
John A D AstonStatistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Policy recommendations (PRs) now play a crucial role in tackling the climate crisis, underscoring the need for evidence-based, objective and transparent communication. Scientific studies often put forward PRs, but their quality has not yet been evaluated. Here, we systematically appraised the quality of PRs in areas of green energy and transportation for tackling climate change. Four databases were searched from 2019. Over three thousand papers were considered, and 23 studies are included. Quality rating, based on the Evidence Communication Rules for Policy (ECR-P) critical appraisal tool, indicated poor quality in PRs across all studies. There was a clear trend towards advocacy as opposed to providing neutral information, further exacerbated by inadequate disclosure of uncertainties. Communication quality was markedly better regarding study findings and conclusions compared to PRs. Researchers should use the same scientific rigour and reporting standards in PRs as in any other aspect of their research. A reporting guideline for scientific-based PRs could greatly assist in this area, elevating the standards of communication for both academic publishing and global policymaking while reducing potential criticism that scientists simply put forward their own opinions.

Indexed as

Climate changeClimate-change mitigationClimate-change policyEnergy policyEnvironmental sciencesEnvironmental social sciencesEnvironmental studies

Identifiers

PMID42327453
PMCPMC13277626

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.