Evidence mapPaperPMID 39732706Full record

ArticleScientific data2024

Unveiling insights from the Joint FAO/WHO Expert Committee on Food Additives (JECFA) portal.

Honoria Ocagli, Corrado Lanera, Marco Franzoi, Chiara Monachesi, Rebecca Zgheib, Simone Belluco, Mauro Dacasto, Dario Gregori, Ileana Baldi

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. 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

9 authors.

Honoria OcagliUnit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy.ORCID 0000-0002-5823-1659
Corrado LaneraUnit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy.
Marco FranzoiUnit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy.
Chiara MonachesiUnit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy.
Rebecca ZgheibUnit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy.
Simone BellucoLaboratory of Food Chain Safety and Quality, Istituto Zooprofilattico Sperimentale Delle Venezie, Viale Fiume 78, 36100, Vicenza, VI, Italy.
Mauro DacastoDepartment of Comparative Biomedicine and Food Science, University of Padua, Viale dell'Università 16, Legnaro, 35020, Padua, Italy.
Dario GregoriUnit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy.
Ileana BaldiUnit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy. ileana.baldi@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a method for automating the retrieval of key identifies and links to toxicological data from the Joint FAO/WHO Expert Committee on Food Additives (JECFA) database using web scraping techniques. Although the method primarily serves as an automated indexing tool, facilitating organization and access to relevant reports, monographs, and specifications, it significantly enhances the efficiency of navigating the extensive JECFA database. Researchers can then perform more targeted and efficient searches, although additional manual steps are required to extract and structure the detailed toxicological data. We developed R programming scripts to extract key information, such as chemical names, identifiers, and evaluation reports, from JECFA web pages. The resulting data set comprises 6552 records as of May 2024. We validated the dataset through a systematic comparison with manually collected data, ensuring its reliability. Instructions and code for accessing and processing the dataset, facilitating its reuse in research are provided. The code and dataset are openly available, enabling researchers to efficiently access and analyze toxicological data from the JECFA database.

Indexed as

Databases, FactualFood AdditivesWorld Health OrganizationUnited NationsFood Additives

Identifiers

PMID39732706
PMCPMC11682307

What Socratic 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 Socratic graph.