Evidence map›Paper›PMID 39623045›Full record

ArticleScientific reports2024

Antibiotic resistance of bioaerosols in particulate matter from indoor environments of the hospitals in Dhaka Bangladesh.

Badhon Ali Khan, Shatabdi Roy, Nishat Tahsin, Kalpana Baidya, Keshob Chandra Das, Md Safiqul Islam, Nazmul Ahsan, Abdus Salam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Genetic Characteristics ofPathogens (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Review
  6. 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

8 authors.

Badhon Ali KhanDepartment of Chemistry, Faculty of Science, University of Dhaka, Dhaka, 1000, Bangladesh.
Shatabdi RoyDepartment of Chemistry, Faculty of Science, University of Dhaka, Dhaka, 1000, Bangladesh.
Nishat TahsinDepartment of Chemistry, Faculty of Science, University of Dhaka, Dhaka, 1000, Bangladesh.
Kalpana BaidyaDepartment of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Dhaka, Dhaka, 1000, Bangladesh.
Keshob Chandra DasMolecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Savar, Dhaka, 1349, Ashulia, Bangladesh.
Md Safiqul IslamDepartment of Chemistry, Faculty of Science, University of Dhaka, Dhaka, 1000, Bangladesh.
Nazmul AhsanDepartment of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Dhaka, Dhaka, 1000, Bangladesh.
Abdus SalamDepartment of Chemistry, Faculty of Science, University of Dhaka, Dhaka, 1000, Bangladesh. asalam@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence and spread of antibiotic resistance in microorganisms pose significant challenges to public health, especially in hospitals. This study investigated the existence or occurrence of bacterial bioaerosol and their antibiotic resistance patterns in particulate matter (PM) collected from hospitals in the greater Dhaka region, Bangladesh. The real-time particulate matter concentrations (PM

Indexed as

AerosolsAir Pollution, IndoorAnti-Bacterial AgentsHospitalsParticulate MatterAir MicrobiologyBacteriaBangladeshDrug Resistance, BacterialEnvironmental MonitoringHumansMicrobial Sensitivity TestsAerosolsAnti-Bacterial AgentsParticulate MatterAir QualityAntibiotic resistanceBioaerosolsHospital-acquired infectionsNosocomial infectionsParticulate matter

Identifiers

PMID39623045
PMCPMC11612278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.