| Literature DB >> 34842550 |
Mahbub-Ul Alam1, Sharika Ferdous1, Ayse Ercumen2, Audrie Lin3, Abul Kamal1, Sharmin Khan Luies1, Fazle Sharior1, Rizwana Khan1, Md Ziaur Rahman1, Sarker Masud Parvez1, Nuhu Amin1, Birkneh Tilahun Tadesse4, Niharu Akter Moushomi1, Rezaul Hasan1, Neelam Taneja5, Mohammad Aminul Islam6, Mahbubur Rahman1.
Abstract
BACKGROUND: The widespread and unrestricted use of antibiotics has led to the emergence and spread of antibiotic-resistant bacteria (ARB), antibiotic-resistance genes (ARGs), and antibiotic residues in the environment. Conventional wastewater treatment plants (WWTPs) are not designed for effective and adequate removal of ARB, ARGs, and antibiotic residues, and therefore, they play an important role in the dissemination of antimicrobial resistance (AMR) in the natural environment.Entities:
Keywords: antibiotic residues; antibiotic-resistance genes; antibiotic-resistant bacteria; antibiotics; antimicrobial resistance; antimicrobial-resistance genes; antimicrobial-resistant bacteria; effluent; systematic review; wastewater treatment plant
Year: 2021 PMID: 34842550 PMCID: PMC8665387 DOI: 10.2196/33365
Source DB: PubMed Journal: JMIR Res Protoc ISSN: 1929-0748
Figure 1Flow diagram of the steps for conducting the systematic review. PICO: population, intervention, comparison, and outcome.
Search strategy used for the MEDLINE database.
| Number | Searcha | Results, n |
| 1 | Antibiotic residue$.mp. | 1052 |
| 2 | Antibiotic resistan$ bacteria.mp. | 3338 |
| 3 | antibiotic resistance gene$.mp. | 5460 |
| 4 | antimicrobial resistan$ organism$.mp. | 161 |
| 5 | antimicrobial resistan$ pathogen$.mp. | 267 |
| 6 | ARB selection.mp. | 2 |
| 7 | Anti-Microbial Agent$.mp. | 399 |
| 8 | Wastewater treat$.mp. | 23,724 |
| 9 | Graywater treat$.mp. | 9 |
| 10 | Greywater treat$.mp. | 92 |
| 11 | wastewater treat$ plant$.mp. | 10,628 |
| 12 | wastewater treatment method$.mp. | 105 |
| 13 | conventional wastewater treatment process$.mp. | 69 |
| 14 | new wastewater treatment process$.mp. | 11 |
| 15 | effluent.mp. | 29,387 |
| 16 | influent.mp. | 7430 |
| 17 | Antimicrobial resistance gene$.mp. | 1566 |
| 18 | antimicrobial resistan$.mp. | 25,483 |
| 19 | antibiotic resistan$.mp. | 45,671 |
| 20 | plasmid$.mp. | 184,995 |
| 21 | Sewage treatment.mp. | 3861 |
| 22 | 1 or 2 or 3 or 4 or 5 or 6 or 7 or 17 or 18 or 19 or 20 | 245,158 |
| 23 | 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 21 | 52,791 |
| 24 | 22 and 23 | 1397 |
| 25 | limit 24 to yr=“2001 -Current” | 1324 |
| 26 | limit 25 to english language | 1296 |
aIn the search, mp=title, abstract, original title, name of substance word, subject heading word, floating sub-heading word, keyword heading word, organism supplementary concept word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier, and synonyms.
Risk of bias tool.
| Bias domain | Assessment question | Criteria |
| Sample selection bias | Were sample locations and sampling methods implementing such that sampling did not introduce systematic differences depending on the value of the exposure variable for each sample (in the case of continuous exposure data) or between the comparison groups (in the case of categorical exposure measures)? |
Criteria for the judgement of “Yes” (low risk): Method for determining the sampling locations is identical and independent of exposure status (ie, sample taken from the influent and final effluent of the WWTPa) The WWTP receives only municipal, hospital, and domestic wastewater regardless of differences in treatment methods or treatment stages (primary, secondary, or tertiary) Influent wastewater does not have any form of pretreatment before being discharged in the WWTP The time between sampling at all sites is sufficiently close to render the outcomes measured at these sites comparable for the sample type in question Collection of 24-h composite samples The authors describe the frequency of sampling (daily, weekly, monthly, etc) at each site The authors describe the volume of collected samples from the influent and effluent of the WWTP Criteria for the judgement of “No” (high risk): Sampling locations are selected differently (eg, samples taken from the effluent of the grit chamber, aeration tank, and secondary clarifier) The WWTP does not receive municipal, hospital, and domestic wastewater regardless of differences in treatment methods or treatment stages (primary, secondary, or tertiary) Influent wastewaters have some form of pretreatment before being discharged in the WWTP Time between sampling at all sites is not sufficiently close Collection of grab samples Collection of grab samples The authors do not describe the frequency of sampling (daily, weekly, monthly, etc) at each site The authors do not describe the volume of collected samples Risk of bias will be considered “unclear” if there is not enough information to judge sample selection bias criteria as either “yes” or “no.” For example, if methods for determining sampling locations are not described in enough detail. |
| Information bias | Were outcome ascertainment methods (ie, methods for antibiotic-resistance gene, antibiotic-resistant bacteria, and antibiotic or bacterial measurements) conducted in a way that ensures the same accuracy regardless of wastewater sample type? |
Criteria for the judgement of “Yes” (low risk): Identical microbiological methods are applied to all samples (ie, influent and effluent samples) for ARBb, ARGc, and antibiotic detection (eg, culture, polymerase chain reaction, genotyping, phenotypic tests, mass spectrometry, and high-performance liquid chromatography). Controlling for different laboratory factors (eg, laboratory type, technician, testing date, and instrument used) Criteria for the judgement of “No” (high risk): Application of different methods depending on the comparison group No adjustment strategy for different laboratory methods Risk of bias will be considered “unclear” if there is not enough information to judge information bias criteria as either “yes” or “no.” For example, if methods for analyses are not explained sufficiently to reach a judgement. |
| Confounding | Were adequate methods to control for potential confounding employed? |
Criteria for the judgement of “Yes” (low risk): Restriction of the sample population (eg, samples are not collected on a rainy day and instead collected on a dry day) Samples are collected in different seasons (eg, winter and summer) Analytical confounding control (eg, stratification, regression adjustment, and test samples are stored correctly) Criteria for the judgement of “No” (high risk): The sample population is not restricted (eg, samples are collected on a rainy day) Lack of any confounding control despite being likely (eg, samples are not collected in different seasons [winter and summer] and no consideration of water salinity) Inappropriate method of confounding control (eg, test samples are not stored correctly) Controlling for confounding is correctly applied for some potential confounders, but not for all Risk of bias will be considered “unclear” if there is not enough information to judge information bias criteria as either “yes” or “no.” For example, if methods to control for confounding are mentioned but the implementation is not explained sufficiently at length to reach a judgement. |
aWWTP: wastewater treatment plant.
bARB: antibiotic-resistant bacteria.
cARG: antibiotic-resistance gene.