Evidence map›Paper›PMID 39678961›Full record

ArticleIndian journal of microbiology2024

Prevalence of Antimicrobial Resistance in Saurashtra, Gujarat and Implications Toward Sustainable Healthcare.

Debashis Banerjee, Mousumi Das, Avradip Chatterjee, Sheetal Tank, Nilesh Aghera

Abstract read
In one paragraph

Article in Indian journal of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Beyond Antibiotics: What the Future Holds.Antibiotics (Basel, Switzerland) · 2024
    Review
  2. A Chronicle Review ofIndian journal of microbiology · 2024
    Review
  3. Review
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.

Debashis BanerjeeDepartment of Biotechnology, Faculty of Science, Atmiya University, Rajkot, Gujarat 360005 India.ORCID 0000-0002-1035-5644
Mousumi DasDepartment of Microbiology, Faculty of Science, Atmiya University, Rajkot, Gujarat 360005 India.
Avradip ChatterjeeCedars-Sinai Medical Centre, Los Angeles, CA USA.
Sheetal TankLibrary and Learning Centre, Atmiya University, Rajkot, Gujarat 360005 India.
Nilesh AgheraDepartment of Biotechnology, Faculty of Science, Atmiya University, Rajkot, Gujarat 360005 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing antimicrobial resistance (AMR) is one of the major worldwide healthcare problems at present. Antimicrobial resistance (AMR) is part of the natural process of evolution among microorganisms, but which is expedited manifold by the unregulated and over-the-counter use of antibiotics. This induces new and more severe resistance mechanisms in the microbes, which is quite difficult to treat with the routinely prescribed antibiotics, ultimately leading to prolonged infections, disease and even death of the host. WHO had, back in 2014, issued a strict warning in its report about the rising incidence and future threat of AMR globally. So, the present epidemiological survey was carried out to evaluate the growing incidence of antimicrobial resistance in Rajkot, a city located in the western part of India. The data was collected from various clinical settings e.g., hospitals, clinics and diagnostic centers, situated across the city, which was later statistically evaluated for clinical significance. The results clearly indicated towards the rising prevalence of resistance in some of the important clinical pathogens for example,

Indexed as

AntibioticsAntimicrobial resistance (AMR)EpidemiologySustainable development goalsWorld Health Organization

Identifiers

PMID39678961
PMCPMC11645337

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.