Evidence map›Paper›PMID 37694079›Full record

ArticleJournal of pharmacy & bioallied sciences2023

Accuracy and Reliability of Different Approaches for the Assessment of Pelvic Floor Muscle Strength: A Systematic Review.

Alisha Rai, Nidhi Sharma, Sanjeev Kumar Jain, Astha Lalwani, Sonika Sharma

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2023. 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
–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

3 citing papers in PubMed.

  1. Observational
  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

5 authors.

Alisha RaiDepartments of Anatomy, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India.
Nidhi SharmaDepartments of Anatomy, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India.
Sanjeev Kumar JainDepartments of Anatomy, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India.
Astha LalwaniDepartment of Obs and Gynae, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India.
Sonika SharmaDepartments of Anatomy, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There had been various methods employed for the evaluation of pelvic floor muscle (PFM) strength. The aim of the study was to do a systemic review of these methods for a better understanding of these techniques and to find the best appropriate method. A systemic review of the literature was done using three databases that included: PubMed, Scopus and Web of Science using the keywords "pelvic floor anatomy" and "functional anatomy of pelvic floor muscles" from 1985 to 2022. All the studies involved were analyzed for the methodologies used by the researcher, advantages, disadvantages, and the conclusion of the study. A total of 1,876 studies were found, out of which only 64 met the criteria of inclusion. In these studies, seven methods were used for the determination of PFM strength. These methods included: clinical palpation, perineometer, electromyography, dynamometer, ultrasonography, magnetic resonance imaging, and vaginal cones. The PFM cannot be calculated accurately using any one measuring technique. There is therefore no "gold standard" approach to PFM assessment. However, combining these methods will result in the best outcomes. According to the literature review, the most often employed procedures were digital palpation, perineometry, and Ultrasonography (USG).

Indexed as

Assessmentmuscle strengthpelvic floorperineometer

Identifiers

PMID37694079
PMCPMC10485409

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.