Evidence map›Paper›PMID 37736435›Full record

ReviewCureus2023

The Role of Benson's and Mitchell's Relaxation Techniques in the Management of Premenstrual Syndrome: An In-Depth Review.

Anushka Raipure, Shubhangi Patil

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Anushka RaipureDepartment of Community Health Physiotherapy, Ravi Nair Physiotherapy College, Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND.
Shubhangi PatilDepartment of Community Health Physiotherapy, Ravi Nair Physiotherapy College, Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND.
Datta Meghe Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premenstrual syndrome (PMS) is a menstrual disorder characterized by physical, behavioral, and emotional symptoms typically occurring during the luteal phase. These symptoms are usually mild and somatic and often subside during or just before the start of menstruation. Medical professionals employ pharmacological and non-pharmacological treatments as the primary approach to managing PMS. One effective non-pharmacological method is Laura Mitchell's physiological relaxation treatment, which has been shown to enhance immunological function, reduce depression, and improve the overall quality of life. Another beneficial technique is Benson's relaxation technique, established by Herbert Benson in 1970, providing a simple yet powerful stress-release strategy. For this study, research papers were searched using various reputable databases such as PubMed, Scopus, Web of Science, and Google Scholar websites, with data collected up to the end of 2021. The publication dates of the review articles were not restricted, allowing for a comprehensive overview. However, it is important to note that only a limited number of accessible studies have been found, underscoring the need for further research. Future investigations should focus on high-quality evidence with reliable outcome measures to draw more conclusive results about which relaxation technique offers better relief for PMS.

Indexed as

benson relaxation techniquemitchell’s relaxation techniquepainpremenstrual syndromequality of life

Identifiers

PMID37736435
PMCPMC10509333
OpenAlexW4386029526

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.