Evidence map›Paper›PMID 39170605›Full record

ArticleJAC-antimicrobial resistance2024

Susceptibility of clinical isolates of novel pathogen

Surajit Chakraborty, Nishant Shekhar, Lipika Singhal, Rajneesh Singh Rawat, Ajay Duseja, Rahul K Verma, Kanika Bansal, Ivneet Kour, Sanjay Biswas, Ekadashi Rajni and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAC-antimicrobial resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Surajit ChakrabortyDepartment of Medical Microbiology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.ORCID https://orcid.org/0009-0002-5575-4099
Nishant ShekharDepartment of Medical Microbiology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Lipika SinghalDepartment of Microbiology, Government Medical College & Hospital, Chandigarh, India.
Rajneesh Singh RawatDepartment of Medical Microbiology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Ajay DusejaDepartment of Hepatology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Rahul K VermaChemical Biology Unit, Institute of Nano Science and Technology, Mohali, India.
Kanika BansalDepartment of Microbiology, Tata Memorial Hospital, Mumbai, Maharashtra, India.
Ivneet KourDepartment of Microbiology, Government Medical College & Hospital, Chandigarh, India.ORCID https://orcid.org/0000-0002-9626-3969
Sanjay BiswasBacterial Genetics, Geomics and Evolution Laboratory, CSIR-Institute of Microbial Technology, Chandigarh, India.
Ekadashi RajniDepartment of Microbiology, Mahatma Gandhi Medical College & Hospital, Jaipur, India.
Suneeta SahuDepartment of Clinical Microbiology & Immunoserology, Apollo Hospital, Bhubaneswar, Odisha, India.
Prabhu B PatilDepartment of Microbiology, Tata Memorial Hospital, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0003-2720-1059
Vikas GautamDepartment of Medical Microbiology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.ORCID https://orcid.org/0000-0001-5565-048X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Objectives: To assess the antibacterial effectiveness of levofloxacin and levonadifloxacin against novel pathogen Methods: A total of 116 Results: Among a total of 116 circulating Conclusions: Levofloxacin and levonadifloxacin show similar susceptibility rates against

Identifiers

PMID39170605
PMCPMC11337124

What OpenQuestion holds

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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.