Evidence map›Paper›PMID 36613373›Full record

ReviewFoods (Basel, Switzerland)2022

A Meta-Analysis and Systematic Review of

Minmin Hu, Qingli Dong, Yangtai Liu, Tianmei Sun, Mingliang Gu, Huajian Zhu, Xuejuan Xia, Zhuosi Li, Xiang Wang, Yue Ma and 2 more

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

12 authors at 2 institutions in 1 country.

Minmin HuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Qingli DongSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0001-9019-0001
Yangtai LiuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0003-2409-8666
Tianmei SunSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0002-7792-1217
Mingliang GuCollege of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China.
Huajian ZhuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Xuejuan XiaSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Zhuosi LiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0003-4895-3241
Xiang WangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Yue MaSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Shuo YangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Xiaojie QinSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0002-5210-0658
University of Shanghai for Science and Technology · CNOcean University of China · CN

Funding

National Natural Science Foundation of China 32102095
6 · The paper itself

Abstract

Listeria monocytogenes is a ubiquitous organism that can be found in food-related environments, and sanitizers commonly prevent and control it. The aim of this study is to perform a meta-analysis of L. monocytogenes response to sanitizer treatments. According to the principle of systematic review, we extracted 896 records on the mean log-reduction of L. monocytogenes from 84 publications as the dataset for this study. We applied a mixed-effects model to describe L. monocytogenes response to sanitizer treatment by considering sanitizer type, matrix type, biofilm status, sanitizer concentration, treatment time, and temperature. Based on the established model, we compared the response of L. monocytogenes under different hypothetical conditions using forest plots. The results showed that environmental factors (i.e., sanitizer concentration, temperature, and treatment time) affected the average log-reduction of L. monocytogenes (p < 0.05). L. monocytogenes generally exhibited strong resistance to citric acid and sodium hypochlorite but had low resistance to electrolyzed water. The planktonic cells of L. monocytogenes were less resistant to peracetic acid and sodium hypochlorite than the adherent and biofilm cells. Additionally, the physical and chemical properties of the contaminated or inoculated matrix or surface also influenced the sanitizer effectiveness. This review may contribute to increasing our knowledge of L. monocytogenes resistance to sanitizers and raising awareness of appropriate safety precautions.

Indexed as

foodborne pathogeninactivationListeria monocytogenesresistancesanitizerthe mixed-effects model

Identifiers

PMID36613373
PMCPMC9818549
OpenAlexW4313414393

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.