Evidence map›Paper›PMID 35010213›Full record

ArticleFoods (Basel, Switzerland)2021

Quantitative Methods for the Prioritization of Foods Implicated in the Transmission of Hepatititis E to Humans in Italy.

Ornella Moro, Elisabetta Suffredini, Marco Isopi, Maria Elena Tosti, Pietro Schembri, Gaia Scavia

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

6 authors.

Ornella MoroDepartment of Food Safety, Nutrition and Veterinary Public Health, National Institute of Health, 00161 Rome, Italy.ORCID 0000-0002-3607-1797
Elisabetta SuffrediniDepartment of Food Safety, Nutrition and Veterinary Public Health, National Institute of Health, 00161 Rome, Italy.ORCID 0000-0001-7605-0539
Marco IsopiDepartment of Mathematics, University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.ORCID 0000-0002-0576-6377
Maria Elena TostiNational Center for Global Health, National Institute of Health, 00161 Rome, Italy.ORCID 0000-0003-1392-9874
Pietro SchembriRegional Department for Health Activities and Epidemiological Observatory of the Sicilian Region, 90145 Palermo, Italy.ORCID 0000-0001-6625-5485
Gaia ScaviaDepartment of Food Safety, Nutrition and Veterinary Public Health, National Institute of Health, 00161 Rome, Italy.ORCID 0000-0002-9394-8575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis E is considered an emerging foodborne disease in Europe. Several types of foods are implicated in the transmission of the hepatitis E virus (HEV) to humans, in particular, pork and wild boar products. We developed a parametric stochastic model to estimate the risk of foodborne exposure to HEV in the Italian population and to rank the relevance of pork products with and without liver (PL and PNL, respectively), leafy vegetables, shellfish and raw milk in HEV transmission. Original data on HEV prevalence in different foods were obtained from a recent sampling study conducted in Italy at the retail level. Other data were obtained by publicly available sources and published literature. The model output indicated that the consumption of PNL was associated with the highest number of HEV infections in the population. However, the sensitivity analysis showed that slight variations in the consumption of PL led to an increase in the number of HEV infections much higher than PNL, suggesting that PL at an individual level are the top risky food. Uncertainty analysis underlined that further characterization of the pork products preparation and better assessment of consumption data at a regional level is critical information for fine-tuning the most risky implicated food items in Italy.

Indexed as

epidemiologyfood safetyhepatitis E virusmathematical modeling

Identifiers

PMID35010213
PMCPMC8750432

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.