Evidence map›Paper›PMID 37124863›Full record

ArticleIranian journal of microbiology2022

Application of bacteriophage cocktails for reducing the bacterial load of nosocomial pathogens in hospital wastewater.

Sara Sadeqi, Abdolrazagh Hashemi Shahraki, Farhad Nikkhahi, Amir Javadi, Seyed Mahmoud Amin Marashi

Open access · diamondAbstract read
In one paragraph

Article in Iranian journal of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Sara SadeqiStudent Research Committee, Qazvin University of Medical Sciences, Qazvin, Iran.
Abdolrazagh Hashemi ShahrakiDivision of Pulmonary, Miller School of Medicine, University of Miami, Miami, USA.
Farhad NikkhahiMedical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Amir JavadiDepartment of Community Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
Seyed Mahmoud Amin MarashiMedical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Qazvin University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: In the third world and developing countries, hospital sewage is mixed with municipal wastewater. The treated effluent contains dangerous bacteria released into the environment and used in the irrigation of agricultural products, and eventually these bacteria may endanger the human health through foods. Antibiotic-resistant bacteria are mostly found in hospital wastewater. In water and wastewater treatment plants, large amounts of toxic and polluting substances are removed and destroyed, but this process does not eliminate bacteria. Materials and Methods: Wastewater samples from 22 hospitals in Iran were collected and in the meantime specific phages (against drug-resistant pathogenic bacteria) extracted using the bilayer agar technique. Phage amplification was performed by employing a fermenter after phage identification. Amplified phages were added to the primary sedimentation pond using New-Brunwick biofermenter BioFlo/Celligen®115 and the bacterial count was evaluated for the desired bacteria. Results: Our phage cocktail was able to reduce 99.8%, 99.4%, 99.5%, 99.8%, 99.7%, 99.8%, 99.6% and 99.9% of Conclusion: The application of phage cocktails can remarkably help improve personal hygiene, the environment, and the optimization of surface water.

Indexed as

BacteriophagesDrug resistanceEnvironmental pollutionPondsWastewater

Identifiers

PMID37124863
PMCPMC10132342
OpenAlexW4283220905

What OpenQuestion holds

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LicenceCC BY-NC
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.