Evidence map›Paper›PMID 26721552›Full record

ReviewJournal of evidence-based complementary & alternative medicine2017

Management of Usr-i-Tamth (Menstrual Pain) in Unani (Greco-Islamic) Medicine.

Arshiya Sultana, Syed Lamatunoor, Mazherunnisa Begum, Q N Qhuddsia

Open access · goldAbstract readReview
In one paragraph

Review in Journal of evidence-based complementary & alternative medicine, 2017. 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
0.3field-weighted citation impact, top 31% 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, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Arshiya Sultana1 National Institute of Unani Medicine, Bangalore, Karnataka, India.
Syed Lamatunoor2 Yunus Fazlani Unani Medical College, Kunjkheda, Maharashtra, India.
Mazherunnisa Begum1 National Institute of Unani Medicine, Bangalore, Karnataka, India.
Q N Qhuddsia3 Government Nizamia Tibbi College, Hyderabad, Telangana, India.
Government Nizamia General Hospital · INZ.V.M.Unani Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Usr-i-tamth in Unani (Greco-Arabic) medicine is pain associated with menstruation, and classical manuscripts are enriched with traditional knowledge for the management of usr-i-tamth (menstrual pain/dysmenorrhoea). Hence, a comprehensive search was undertaken to find classical manuscripts for the management of menstrual pain was. We searched the Cochrane database, PubMed/Google Scholar, and other websites for articles on complementary and alternative medicine treatment and management of menstrual pain. The principal management as per Unani manuscripts is to produce analgesia and to treat the cause of usr-i-tamth such as abnormal temperament, menstrual irregularities/uterine diseases, and psychological and environmental factors. Furthermore, Unani medicines with emmenagogue, antispasmodic, anti-inflammatory, and analgesic properties are beneficial for amelioration of usr-i-tamth. Herbs such as Apium graveolens, Cuminum cyminium, Foeniculum vulgare, Matricaria chamomilla and Nigella sativa possess the aforementioned properties and are proven scientifically for their efficacy in usr-i-tamth. Thus, validation and conservation of the traditional knowledge is essential for prospective research and valuable for use in the contemporary era.

Indexed as

DysmenorrheaFemaleHumansMedicine, TraditionalPain ManagementPhytotherapyanti-inflammatoryantispasmodicauja al-rahimdysmenorrhoeamenstrual paintemperamentusr-i-tamth

Identifiers

PMID26721552
PMCPMC5871174
OpenAlexW2207285661

What OpenQuestion holds

Textmetadata
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.