Evidence map›Paper›PMID 39328565›Full record

ArticleHeliyon2024

Antimicrobial resistance burden in India and Germany in 2022: A systematic analysis along with One Health perspective.

Gunjan, Ramendra Pati Pandey, Himanshu, Kirtanjot Kaur, Saheem Ahmad, Riya Mukherjee, Chung-Ming Chang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

GunjanGraduate Institute of Biomedical Sciences, Chang Gung University, No. 259, Wenhua 1st Road, Guishan District, Taoyuan City, 33302, Taiwan.
Ramendra Pati PandeyDepartment of Biotechnology, SRM University, Delhi-NCR, Sonepat, Haryana, 131029, India.
HimanshuGraduate Institute of Biomedical Sciences, Chang Gung University, No. 259, Wenhua 1st Road, Guishan District, Taoyuan City, 33302, Taiwan.
Kirtanjot KaurUniversity Centre for Research and Development, Chandigarh University, Mohali, Punjab, India.
Saheem AhmadDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, Hail City, Saudi Arabia.
Riya MukherjeeGraduate Institute of Biomedical Sciences, Chang Gung University, No. 259, Wenhua 1st Road, Guishan District, Taoyuan City, 33302, Taiwan.
Chung-Ming ChangBiotechnology Industry, Chang Gung University, No. 259, Wenhua 1st Road, Guishan District, Taoyuan City, 33302, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally increasing antibiotic resistance has been linked to the extensive use of antibiotics in medical, veterinary, and agricultural Practices. This study aims to investigate the correlations of antimicrobial-resistant of various pathogens in three compartments: humans, animals and the environment in India and Germany. A systematic search was carried out in Medline via PubMed, Google Scholar, and science direct, including studies published in 2022. Out of 532 papers, 24 were considered for meta-analysis. Our findings reveals that in India, β-lactam is highly resistant in animals. Quinolone, on the other hand, was highly resistant in humans. In the environmental sectors, aminoglycosides and β-lactams is resistant. While in Germany, β-lactam resistance is high across all three sectors. However,

Indexed as

AntibioticsAntimicrobial resistanceGermanyIndiaOne healthSystematic review

Identifiers

PMID39328565
PMCPMC11425110

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.