Evidence map›Paper›PMID 28070258›Full record

ReviewElectronic physician2016

A scientific correlation between dystemprament in Unani medicine and diseases: a systematic review.

Sepideh Miraj, Sara Kiani

Open access · goldAbstract readReview
In one paragraph

Review in Electronic physician, 2016. 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
0.9field-weighted citation impact, top 19% 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, 19 citations in OpenAlex.

  1. Article
  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

2 authors at 1 institution in 1 country.

Sepideh MirajM.D., Gynecologist, Fellowship of Infertility, Assistant Professor, Faculty of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Sara KianiResearch Assistant, Cellular and Molecular Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Shahrekord University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTemperament or mezaj refers to four different humors differentiating in individuals and, as a result, proposes specific therapy for their diseases.

objectiveThe aim of this study was to overview the scientific correlation between temperaments in Unani medicine and diseases.

methodsThis study was carried out from March 2015 to February 2016. A computerized search of published articles was performed using PubMed, Google Scholar, Scopus and Web of Science, and Medline databases as well as local and regional resources between 1983 and 2014. The search terms used were temperament, dystemprament, diseases, mizaj, sue mizaj. Additional sources were identified through cross-referencing.

resultsThe result of this study indicated the relationship between dystemprament and incidence of some diseases such as muscle diseases, skin diseases, asthma, palpitation, bipolar disorder, hemodialysis hysteria, hypertension, sinusitis, aging, diabetes, diarrhea. However, further studies are needed to prove the role of dystemprament in incidence of other diseases.

conclusionThe result of this study indicated the relationship between dystemprament and incidence of some disease such as muscle diseases, skin diseases, asthma, palpitation, bipolar disorder, hemodialysis hysteria, hypertension, sinusitis, aging, diabetes, diarrhea. These results are helpful for patients and physicians to change humors toward equilibrium to avoid diseases. Further studies are required to discover the relationship between dystemprament and other diseases.

Indexed as

DystempramentHumorMizajUnani medicine

Identifiers

PMID28070258
PMCPMC5217817
OpenAlexW2559785361

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.