Evidence map›Paper›PMID 20927245›Full record

ArticleIndian journal of pharmacology2010

Effects of ethanol extract of Ficus bengalensis (bark) on inflammatory bowel disease.

Manish Amerutlal Patel, Paras Kantibhai Patel, Manish B Patel

Open access · greenAbstract read
In one paragraph

Article in Indian journal of pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Experimental and therapeutic medicine · 2016
    Article
  3. Article
  4. Article
  5. Review
  6. Wound-healing activity of ethanolic and aqueous extracts of Ficus benghalensis.Journal of advanced pharmaceutical technology & research · 2011
    Article
  7. 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

3 authors.

Manish Amerutlal PatelDepartment of Pharmacology, C.K. Pithawala Institute of Pharmaceutical Sciences and Research, Surat - 395 007, Gujarat, India.
Paras Kantibhai Patel
Manish B Patel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe present study was designed to evaluate the effects of ethanol extract of Ficus bengalensis Linn. bark (AEFB) on inflammatory bowel disease (IBD). MATERIALS AND

methodsEffects of AEFB were studied on 2,4,6-trinitrobenzenesulfonic acid (TNBS, 0.25 ml 120 mg/ml in 50% ethanol intrarectally, on first day only) induced IBD in rats. The effects of co-administration of prednisolone (2 mg/kg) and AEFB (250, 500 mg/kg) for 21 days were evaluated. Animals sacrificed at end of the experiment and various histopathological parameters like colon mucosal damage index (CMDI) and disease activity index (DAI) were assessed. In the colon homogenate malondialdehyde (MDA), myeloperoxidase (MPO), superoxide dismutase (SOD), and nitric oxide (NO) levels and in mesentery % mast cell protection was also measured.

resultsRats treated with only TNBS showed more score of CMDI and DAI, higher MDA, NO, MPO, and lower SOD activity as compared to the control group. Treatment with AEFB significantly declined both indices scores and decreased the MPO, MDA, NO, and increased the SOD activity. AEFB also increased the % mast cell protection compared to alone TNBS-treated animals.

conclusionIn our study, we found that AEFB has a significant protective effect in the IBD in rats that is comparable to that of prednisolone and may be because of the presence of flavonoids, terpenoids, and phenolic compounds.

Indexed as

Barkethanolic extractFicus bengalensis (Moraceae)inflammatory bowel disease

Identifiers

PMID20927245
PMCPMC2941610
OpenAlexW2074540539

What OpenQuestion holds

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LicenceCC BY
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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.