Evidence map›Paper›PMID 26069360›Full record

ReviewIndian journal of pharmacology

Reversing resistance: The next generation antibacterials.

Neel Jayesh Shah

Abstract readReview
In one paragraph

Review in Indian journal of pharmacology. 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
0.2field-weighted citation impact, top 55% 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, 9 citations in OpenAlex.

  1. Review
  2. 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

1 author at 1 institution in 1 country.

Neel Jayesh ShahDepartment of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Jawaharlal Institute of Post Graduate Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irrational antibiotic usage has led to vast spread resistance to available antibiotics, but we refuse to slide back to "preantibiotic era." The threat is serious with the "Enterococcus, Staphylococcous, Klebsiella, Acinetobacter, Pseudomonas and Enterobacter" organisms causing nosocomial infections that are difficult to treat because of the production of extended spectrum β-lactamases, carbapenamases and metallo-β-lactamases. Facing us is a situation where soon multidrug resistance would have spread across the globe with no antibiotics to withstand it. The infectious disease society of America and Food and Drug Administration have taken initiatives like the 10 × '20 where they plan to develop 10 new antibiotics by the year 2020. Existing classes of antibiotics against resistant bacteria include the carbapenems, oxazolidinones, glycopeptides, monobactams, streptogramins and daptomycin. Newer drugs in existing classes of antibiotics such as cephalosporins, aminoglycosides, tetracyclines, glycopeptides and β-lactamase inhibitors continue to get synthesized. The situation demands newer targets against bacterial machinery. Some of them include the peptidoglycantransferase, outer membrane protein of Pseudomonas, tRNA synthase, fatty acid synthase and mycobacterial ATP synthase. To curb the irrational and excessive usage of presently available antibiotics should be a priority if they are still to be kept in usage for the future.

Indexed as

Anti-Bacterial AgentsDrug and Narcotic ControlDrug Resistance, Multiple, BacterialDrugs, InvestigationalHumansMolecular Targeted TherapyUnited StatesUnited States Food and Drug AdministrationAnti-Bacterial AgentsDrugs, InvestigationalFood and Drug Administration safety and innovation actnew antibioticsnew carbapenemsnew glycopeptidesnew quinolones

Identifiers

PMID26069360
PMCPMC4450548
OpenAlexW1546219966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.