Evidence map›Paper›PMID 36565841›Full record

ArticleEnvironmental research2023

Evaluation of pre-treated healthcare wastes during COVID-19 pandemic reveals pathogenic microbiota, antibiotics residues, and antibiotic resistance genes against beta-lactams.

Shing Wei Siew, Siti Munirah Musa, Nurul 'Azyyati Sabri, Mohd Fazli Farida Asras, Hajar Fauzan Ahmad

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 23 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.

Shing Wei SiewFaculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia. Electronic address: shingwei999@gmail.com.
Siti Munirah MusaFaculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia. Electronic address: sitimunirahmusa93@gmail.com.
Nurul 'Azyyati SabriFaculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia; Group of Environment, Microbiology and Bioprocessing (GERMS), Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia. Electronic address: azyyatis@ump.edu.my.
Mohd Fazli Farida AsrasFaculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia; Group of Environment, Microbiology and Bioprocessing (GERMS), Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia. Electronic address: mohdfazli@ump.edu.my.
Hajar Fauzan AhmadFaculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia; Group of Environment, Microbiology and Bioprocessing (GERMS), Lebuhraya Tun Razak, 26300, Gambang, Pahang, Malaysia. Electronic address: fauzanahmad@ump.edu.my.
Universiti Malaysia Pahang Al-Sultan Abdullah · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The disposal of healthcare waste without prior elimination of pathogens and hazardous contaminants has negative effects on the environment and public health. This study aimed to profile the complete microbial community and correlate it with the antibiotic compounds identified in microwave pre-treated healthcare wastes collected from three different waste operators in Peninsular Malaysia. The bacterial and fungal compositions were determined via amplicon sequencing by targeting the full-length 16S rRNA gene and partial 18S with full-length ITS1-ITS2 regions, respectively. The antibiotic compounds were characterized using high-throughput spectrometry. There was significant variation in bacterial and fungal composition in three groups of samples, with alpha- (p-value = 0.04) and beta-diversity (p-values <0.006 and < 0.002), respectively. FC samples were found to acquire more pathogenic microorganisms than FA and FV samples. Paenibacillus and unclassified Bacilli genera were shared among three groups of samples, meanwhile, antibiotic-resistant bacteria Proteus mirabilis, Enterococcus faecium, and Enterococcus faecalis were found in modest quantities. A total of 19 antibiotic compounds were discovered and linked with the microbial abundance detected in the healthcare waste samples. The principal component analysis demonstrated a positive antibiotic-bacteria correlation for genera Pseudomonas, Aerococcus, Comamonas, and Vagococcus, while the other bacteria were negatively linked with antibiotics. Nevertheless, deep bioinformatic analysis confirmed the presence of bla

Indexed as

COVID-19MicrobiotaAnti-Bacterial AgentsBacteriabeta-LactamsDrug Resistance, MicrobialGenes, BacterialHumansPandemicsRNA, Ribosomal, 16SAnti-Bacterial Agentsbeta-LactamsRNA, Ribosomal, 16SAntibiotic resistanceBeta-lactamHealthcareMicrowavePathogenic microbeWaste management

Identifiers

PMID36565841
PMCPMC9771581
OpenAlexW4312221747

What OpenQuestion holds

Textmetadata
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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.