Evidence map›Paper›PMID 30276540›Full record

ReviewInfection2019

A review on anti-adhesion therapies of bacterial diseases.

Arezoo Asadi, Shabnam Razavi, Malihe Talebi, Mehrdad Gholami

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

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

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  10. Journal of dentistry (Shiraz, Iran) · 2025
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Arezoo AsadiDepartment of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Shabnam RazaviDepartment of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran. razavi.sh@iums.ac.ir.
Malihe TalebiDepartment of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mehrdad GholamiDepartment of Microbiology and Virology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfections caused by bacteria are a foremost cause of morbidity and mortality in the world. The common strategy of treating bacterial infections is by local or systemic administration of antimicrobial agents. Currently, the increasing antibiotic resistance is a serious and global problem. Since the most important agent for infection is bacteria attaching to host cells, hence, new techniques and attractive approaches that interfere with the ability of the bacteria to adhere to tissues of the host or detach them from the tissues at the early stages of infection are good therapeutic strategies.

methodsAll available national and international databanks were searched using the search keywords. Here, we review various approaches to anti-adhesion therapy, including use of receptor and adhesion analogs, dietary constituents, sublethal concentrations of antibiotics, and adhesion-based vaccines.

resultsAltogether, the findings suggest that interference with bacterial adhesion serves as a new means to fight infectious diseases.

conclusionAnti-adhesion-based therapies can be effective in prevention and treatment of bacterial infections, but further work is needed to elucidate underlying mechanisms.

Indexed as

Anti-Infective AgentsBacterial AdhesionBacterial InfectionsBacterial VaccinesDose-Response Relationship, DrugHumansAnti-Infective AgentsBacterial VaccinesAdhesinsAnti-adhesion therapyAntibiotic resistanceInfectious disease

Identifiers

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.