Evidence map›Paper›PMID 37077299›Full record

ArticleEFSA journal. European Food Safety Authority2023

Monitoring of chronic wasting disease (CWD) (IV).

EFSA Panel on Biological Hazards (BIOHAZ), Konstantinos Koutsoumanis, Ana Allende, Avelino Alvarez-Ordoñez, Declan Bolton, Sara Bover-Cid, Marianne Chemaly, Robert Davies, Alessandra De Cesare, Lieve Herman and 15 more

Open access · diamondAbstract read
In one paragraph

Article in EFSA journal. European Food Safety Authority, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Prion diseases: Lessons from historical outbreaks and potential emerging ones.Protein science : a publication of the Protein Society · 2025
    Review
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  11. Monitoring of chronic wasting disease (CWD) (IV).EFSA journal. European Food Safety Authority · 2023
    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

25 authors.

EFSA Panel on Biological Hazards (BIOHAZ)
Konstantinos Koutsoumanis
Ana Allende
Avelino Alvarez-Ordoñez
Declan Bolton
Sara Bover-Cid
Marianne Chemaly
Robert Davies
Alessandra De Cesare
Lieve Herman
Friederike Hilbert
Roland Lindqvist
Maarten Nauta
Luisa Peixe
Panagiotis Skandamis
Elisabetta Suffredini
Michael W Miller
Atle Mysterud
Maria Nöremark
Marion Simmons
Michael A Tranulis
Gabriele Vaccari
Hildegunn Viljugrein
Angel Ortiz-Pelaez
Giuseppe Ru

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The European Commission requested an analysis of the Chronic Wasting Disease (CWD) monitoring programme in Norway, Sweden, Finland, Iceland, Estonia, Latvia, Lithuania and Poland (9 January 2017-28 February 2022). Thirteen cases were detected in reindeer, 15 in moose and 3 in red deer. They showed two phenotypes, distinguished by the presence or absence of detectable disease-associated normal cellular prion protein (PrP) in lymphoreticular tissues. CWD was detected for the first time in Finland, Sweden and in other areas of Norway. In countries where the disease was not detected, the evidence was insufficient to rule out its presence altogether. Where cases were detected, the prevalence was below 1%. The data also suggest that the high-risk target groups for surveillance should be revised, and 'road kill' removed. Data show that, in addition to differences in age and sex, there are differences in the prion protein gene (

Indexed as

chronicCWDEuropegenotypesurveillancewasting

Identifiers

PMID37077299
PMCPMC10107390
OpenAlexW4366603063

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.