Evidence map›Paper›PMID 36506727›Full record

ReviewJournal of pharmacy & bioallied sciences

Meloxicam in Combating Clinical Mastitis: Nanotechnology-Driven Hope and Opportunities.

Vaskuri G S Satya Sainaga Jyothi, Chanti Katta Babu, Rahul Kumar, Pankaj Kumar Singh, Dharmendra Kumar Khatri, Shashi Bala Singh, Jitender Madan

Open access · goldAbstract readReview
In one paragraph

Review in Journal of pharmacy & bioallied sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Vaskuri G S Satya Sainaga JyothiDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India.
Chanti Katta BabuDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India.
Rahul KumarDepartment of Biological Sciences, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India.
Pankaj Kumar SinghDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India.
Dharmendra Kumar KhatriDepartment of Biological Sciences, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India.
Shashi Bala SinghDepartment of Biological Sciences, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India.
Jitender MadanDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India.
National Institute of Pharmaceutical Education and Research · INNational Institute of Pharmaceutical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastitis has well-recognized harmful effects on dairy farm profitability. Furthermore, mastitis impairs the milk component synthesizing ability of secretary tissues. Various therapies are available for the treatment of clinical mastitis. Meloxicam exhibits preferential binding to Cyclooxygenase-2 (COX-2) receptor and consequently generates fewer negative gastrointestinal side effects than nonspecific COX inhibitors such as flunixin meglumine and ketoprofen. Toward this end, research efforts directed at understanding the use of meloxicam alone and in combination with other antibiotics to improve milk quality and production. Therefore, in this review, we have highlighted the mechanism, biopharmaceutical challenges, and merits of meloxicam usage in dairy cattle mastitis. In addition, we also presented the integration of artificial neural network,

Indexed as

Artificial neural networkclinical evidencemastitismeloxicampreclinical evidencetopical drug delivery systems

Identifiers

PMID36506727
PMCPMC9728067
OpenAlexW4296362296

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.