Evidence map›Paper›PMID 30402415›Full record

ArticleJournal of the Korean Association of Oral and Maxillofacial Surgeons2018

Comparison of temporomandibular disorders between menopausal and non-menopausal women.

Mitra Farzin, Masumeh Taghva, Moslem Babooie

Open access · diamondAbstract read
In one paragraph

Article in Journal of the Korean Association of Oral and Maxillofacial Surgeons, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. 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 at 1 institution in 1 country.

Mitra FarzinDepartment of Prosthodontics, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0003-2352-7211
Masumeh TaghvaDepartment of Prosthodontics, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0001-6662-2257
Moslem BabooiePostgraduate Student of Orthodontics, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0002-6206-9973
Shiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHormonal changes during menopause alter a woman's susceptibility to some disorders. Information regarding the prevalence of temporomandibular disorder (TMD) in menopausal women is limited in the literature. In this study, the prevalence and severity of TMDs were compared between menopausal and non-menopausal women. MATERIALS AND

methodsThe study included 140 women (69 premenopausal and 71 postmenopausal) 45 to 55 years of age that were examined in Shiraz Dental School, Shiraz in Iran. The Helkimo clinical dysfunction index (Di) was used to evaluate temporomandibular joint (TMJ) dysfunction. The data were analyzed using chi-square and Fisher's exact tests.

resultsOccurrence of TMD was significantly higher in menopausal than non-menopausal women (

conclusionThe results from this study show that TMD can be considered more common and severe in menopausal than non-menopausal women. This finding indicates that, similar to other conditions in menopausal women such as arthritis and osteoporosis, TMD should be taken into consideration by dental and medical professionals.

Indexed as

MenopausePrevalenceTemporomandibular joint disorders

Identifiers

PMID30402415
PMCPMC6209692
OpenAlexW2899451674

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.