Evidence map›Paper›PMID 35422638›Full record

ArticleInfection and drug resistance2022

Molecular Epidemiology and Polymorphism Analysis in Drug-Resistant Genes in

Vibhuti Rana, Nittu Singh, Chaitali Nikam, Priti Kambli, Pravin K Singh, Urmila Singh, Amita Jain, Camilla Rodrigues, Charu Sharma

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PubMed Full text at PMC Publisher
In one paragraph

Article in Infection and drug resistance, 2022. 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
0.1field-weighted citation impact, top 59% of its field
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 citations in OpenAlex.

  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

9 authors at 3 institutions in 1 country.

Vibhuti RanaCSIR- Institute of Microbial Technology, Chandigarh, 160036, India.
Nittu SinghCSIR- Institute of Microbial Technology, Chandigarh, 160036, India.
Chaitali NikamDepartment of Microbiology, P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, 400016, Maharashtra, India.
Priti KambliDepartment of Microbiology, P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, 400016, Maharashtra, India.
Pravin K SinghDepartment of Microbiology, King George Medical University, Lucknow, 226003, Uttar Pradesh, India.
Urmila SinghDepartment of Microbiology, King George Medical University, Lucknow, 226003, Uttar Pradesh, India.ORCID 0000-0003-1410-046X
Amita JainDepartment of Microbiology, King George Medical University, Lucknow, 226003, Uttar Pradesh, India.
Camilla RodriguesDepartment of Microbiology, P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, 400016, Maharashtra, India.
Charu SharmaCSIR- Institute of Microbial Technology, Chandigarh, 160036, India.ORCID 0000-0002-3915-3771
Institute of Microbial Technology · INKing George's Medical University · INP. D. Hinduja Hospital and Medical Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The mechanistic details of first line drug (FLD) resistance have been thoroughly explored but the genetic resistance mechanisms of second line injectables, which form the backbone of the combinatorial drug resistant tuberculosis therapy, are partially identified. This study aims to highlight the genetic and spoligotypic differences in the second line drug (SLD) resistant and sensitive Methods: The Results: The novel mutations were observed in Conclusion: Besides identifying novel mutations in

Indexed as

drug resistant tuberculosiseisrrssingle nucleotide polymorphismspoligotypingwhiB7

Identifiers

PMID35422638
PMCPMC9005233
OpenAlexW4226402693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.