Evidence map›Paper›PMID 32671124›Full record

ArticleIranian journal of biotechnology2019

Probiotic Bacteria in Wound Healing; An

Astha Sinha, Shakti Sagar, Madhumathy M, W Jabez Osborne

Abstract read
In one paragraph

Article in Iranian journal of biotechnology, 2019. 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. Trial
  2. Article
  3. Review
  4. Review
  5. Living Microneedles for Intradermal Delivery of Beneficial Bacteria.ACS biomaterials science & engineering · 2025
    Article
  6. Unravelling the Microbiome's Role in Healing Diabetic Wounds.Current pharmaceutical biotechnology · 2025
    Review
  7. Probiotics in Wound Healing.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Healing wounds, defeating biofilms:Frontiers in microbiology · 2023
    Article
  10. Insight Into the Beneficial Role ofFrontiers in pharmacology · 2021
    Article
  11. A Novel Effective Formulation of Bioactive Compounds for Wound Healing: Preparation,Evidence-based complementary and alternative medicine : eCAM · 2021
    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

4 authors.

Astha SinhaBiomolecules Lab, School of Biosciences and Technology, Vellore Institute of Technology, Vellore - 632014, Tamil Nadu, India.
Shakti SagarBiomolecules Lab, School of Biosciences and Technology, Vellore Institute of Technology, Vellore - 632014, Tamil Nadu, India.
Madhumathy MBiomolecules Lab, School of Biosciences and Technology, Vellore Institute of Technology, Vellore - 632014, Tamil Nadu, India.
W Jabez OsborneBiomolecules Lab, School of Biosciences and Technology, Vellore Institute of Technology, Vellore - 632014, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProbiotics are food supplements that benefit the host by improving its intestinal microbial balance. Probiotics are used as diet supplements to prevent diarrhoea and improve lactose tolerance.

objectivesThe present study deals with the isolation of a potent probiotic strain capable of inducing healing properties in rat model. MATERIALS AND

methodsProbiotic VITSAMJ1 was isolated from goat milk using MRS media. The antimicrobial assay was carried out against S. aureus (MTCC 3160) and the wound healing properties were assessed on female Wistar rats. A 1.5 cm

resultsVITSAMJ1 can be effectively used for wound healing.

conclusionVITSAMJ1 can be effectively used for wound healing.

Indexed as

Histopathological studiesProbiotic bacteriaProbiotic gel formulationRat modelWound healing

Identifiers

PMID32671124
PMCPMC7357700

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.