Evidence map›Paper›PMID 41059593›Full record

ReviewGM crops & food2025

Promoting biotechnology applications in China through effective biosafety education and communication.

Ying Wang, Bao-Rong Lu

Abstract readReview
In one paragraph

Review in GM crops & food, 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. Continued overexpression ofFrontiers in plant science · 2026
    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

2 authors.

Ying WangState Key Laboratory of Wetland Conservation and Restoration, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China.
Bao-Rong LuState Key Laboratory of Wetland Conservation and Restoration, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosafety represents a widespread but alarming terminology in life sciences. It was originally created for safety issues related to the possible leakage of recombinant DNAs from laboratories. However, its coverage has been greatly expanded to nearly all disciplines in life sciences. The fast development and extensive applications of biotechnology have aroused worldwide concerns over biosafety. Therefore, biosafety education becomes important for students, scientists, government staff, and the public. China has launched biosafety education and communication programs, although with many challenges. For example, it is difficult to have an appropriate definition and determined disciplines for biosafety because of its rapid evolution. Science-based knowledge and information of biosafety are still limited due to the fast change of biosafety concept, theories, and legislations. How to transform the above challenges into opportunities through effective biosafety education and communication? This article attempts to provide some thoughts and case studies for such difficulties, particularly in China.

Indexed as

BiotechnologyChinaCommunicationHumansPlants, Genetically ModifiedAgriculturebiological safetybiosafety regulationbiotechnologyconcept of biosafetypublic awarenessteaching method

Identifiers

PMID41059593
PMCPMC12520117

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.