Evidence map›Paper›PMID 33067190›Full record

ArticleApplied and environmental microbiology2020

Modeling Invasion of Campylobacter jejuni into Human Small Intestinal Epithelial-Like Cells by Bayesian Inference.

Hiroki Abe, Kento Koyama, Shigenobu Koseki

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Hiroki AbeGraduate School of Agricultural Science, Hokkaido University, Sapporo, Japan.
Kento KoyamaGraduate School of Agricultural Science, Hokkaido University, Sapporo, Japan.
Shigenobu KosekiGraduate School of Agricultural Science, Hokkaido University, Sapporo, Japan koseki@bpe.agr.hokudai.ac.jp.ORCID 0000-0001-7046-5354

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current approaches used for dose-response modeling of low-dose exposures of pathogens rely on assumptions and extrapolations. These models are important for quantitative microbial risk assessment of food. A mechanistic framework has been advocated as an alternative approach for evaluating dose-response relationships. The objectives of this study were to investigate the invasion behavior of

Indexed as

Bayes TheoremCaco-2 CellsCampylobacter InfectionsCampylobacter jejuniEpithelial CellsHumansIntestinal DiseasesIntestine, SmallBayesian modelCampylobacter jejunidose-response frameworkdose-response modelfoodborne pathogenkey eventsquantitative microbial risk assessment

Identifiers

PMID33067190
PMCPMC7755238

What OpenQuestion holds

Textmetadata
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.