Evidence map›Paper›PMID 29765930›Full record

ArticleJournal of menopausal medicine2018

Effect of Fennel on the Health Status of Menopausal Women: A Systematic and Meta-analysis.

Talat Khadivzadeh, Mona Najaf Najafi, Leila Kargarfard, Masumeh Ghazanfarpour, Fatemeh Rajab Dizavandi, Imaneh Khorsand

Open access · diamondAbstract read
In one paragraph

Article in Journal of menopausal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. 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

6 authors at 3 institutions in 1 country.

Talat KhadivzadehEvidence-Based Care Research Center, Mashhad University of Medical Sciences, Mashhad,Iran.
Mona Najaf NajafiDepartment of Community Medicine, Imam Reza Clinical Research Units, Mashhad University of Medical Sciences, Mashhad,Iran.
Leila KargarfardDepartment of Fatemeh School Nursing and Midwifery, Shiraz University of Medical Science, Shiraz,Iran.
Masumeh GhazanfarpourEvidence-Based Care Research Center, Mashhad University of Medical Sciences, Mashhad,Iran.
Fatemeh Rajab DizavandiDepartment of Community Health and Psychiatric Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad,Iran.
Imaneh KhorsandDepartment of Parasitology and Mycology, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad,Iran.
Mashhad University of Medical Sciences · IRImam Reza Hospital · IRShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of the present study is the systematic and critical investigation of the effectiveness of fennel on the climacteric symptoms among menopausal females.

methodsA search of the trials studying the effect of fennel on menopausal females was conducted in 2017 using the MEDLINE and Scopus databases and the Cochrane Library with the following keywords: fennel,

resultsFennel combined with officinalis is more effective in the attenuating of sleep disorders compared to Citalopram. The comparison of these two groups regarding the mean bone mineral density and bone mineral content (

conclusionsAccording to the findings of the present study, fennel is important in the relieving of vasomotor symptoms, vaginal itching, dryness, dyspareunia, sexual function, sexual satisfaction, and sleep distribution.

Indexed as

FoeniculumHealth statusMenopauseMeta-analysis

Identifiers

PMID29765930
PMCPMC5949311
OpenAlexW2801131463

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.