Evidence map›Paper›PMID 34782540›Full record

ArticleThe Indian journal of medical research2021

Evaluation of bacteriophage cocktail on septicaemia caused by colistin-resistant

Shesh Raj Patel, Chandra Bhan Pratap, Gopal Nath

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Bacteriophages targetingFrontiers in microbiology · 2026
    Review
  4. CombatingFrontiers in cellular and infection microbiology · 2025
    Review
  5. Review
  6. Review
  7. Phage-encoded depolymerases as a strategy for combating multidrug-resistantFrontiers in cellular and infection microbiology · 2024
    Review
  8. Review
  9. Review
  10. Review
  11. 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

3 authors.

Shesh Raj PatelDepartment of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Chandra Bhan PratapDepartment of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Gopal NathDepartment of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Since the bacterium, Acinetobacter baumannii (AB) has acquired resistance to almost all commercially available antibiotics, the search for alternative treatment options continues to be need of the hour. Bacteriophage therapy seems to be the most promising amongst various proposed alternatives (e.g. antimicrobial peptides, bacteriocin, probiotics, etc.). The present study, therefore, aimed to evaluate the effect of different dosages of specific phages in immunocompromised rodents in a septicaemia model caused by AB mimicking real clinical situations. Methods: The three most active and unique phages (ɸAb4, ɸAb7 and ɸAb14) were selected for this study. A constant dose (100 μl of 10 Results: The administration of 100 μl (10 Interpretation & conclusions: As per the results of this study, it may be concluded that even if patients with acute infections report late to the hospital, a relatively low dose of the phage cocktail may be therapeutically beneficial.

Indexed as

Acinetobacter baumanniiAcinetobacter InfectionsBacteriophagesSepsisAnimalsAnti-Bacterial AgentsColistinMiceAnti-Bacterial AgentsColistinAcinetobacter baumanniibacteriophage cocktailcolistin-resistantendotoxinsmultidrug resistantphage therapysepticaemia

Identifiers

PMID34782540
PMCPMC8715691

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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.