Evidence map›Paper›PMID 32626161›Full record

ArticleEFSA journal. European Food Safety Authority2019

Scientific opinion on the risks for animal and human health related to the presence of quinolizidine alkaloids in feed and food, in particular in lupins and lupin-derived products.

EFSA Panel on Contaminants in the Food Chain (CONTAM), Dieter Schrenk, Laurent Bodin, James Kevin Chipman, Jesús Del Mazo, Bettina Grasl-Kraupp, Christer Hogstrand, Laurentius Ron Hoogenboom, Jean-Charles Leblanc, Carlo Stefano Nebbia and 16 more

Open access · diamondAbstract read
In one paragraph

Article in EFSA journal. European Food Safety Authority, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
17.9field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Lupin poisoning: a review.Frontiers in toxicology · 2025
    Pooled it
  2. Article
  3. Article
  4. Classification ofFrontiers in artificial intelligence · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Agronomic, Nutritional Traits, and Alkaloids ofACS agricultural science & technology · 2024
    Article
  15. Review
  16. Quantitation ofMolecules (Basel, Switzerland) · 2024
    Article
  17. Article
  18. Compositional Attributes of Blue Lupin (Journal of agricultural and food chemistry · 2023
    Article
  19. Review
  20. Review
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

26 authors at 1 institution in 1 country.

EFSA Panel on Contaminants in the Food Chain (CONTAM)
Dieter Schrenk
Laurent Bodin
James Kevin Chipman
Jesús Del Mazo
Bettina Grasl-Kraupp
Christer Hogstrand
Laurentius Ron Hoogenboom
Jean-Charles Leblanc
Carlo Stefano Nebbia
Elsa Nielsen
Evangelia Ntzani
Annette Petersen
Salomon Sand
Tanja Schwerdtle
Christiane Vleminckx
Heather Wallace
Jan Alexander
Bruce Cottrill
Birgit Dusemund
Patrick Mulder
Davide Arcella
Katleen Baert
Claudia Cascio
Hans Steinkellner
Margherita Bignami
Technical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The European Commission asked EFSA for a scientific opinion on the risks for animal and human health related to the presence of quinolizidine alkaloids (QAs) in feed and food. This risk assessment is limited to QAs occurring in

Indexed as

feedfoodlupanineLupinmargin of exposure (MOE)quinolizidine alkaloidsparteine

Identifiers

PMID32626161
PMCPMC7008800
OpenAlexW2985936846

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.