Evidence map›Paper›PMID 27089895›Full record

ReviewJournal of evidence-based complementary & alternative medicine2017

Exploring Hepatitis From the Perspective of Iranian Traditional Medicine: Using a Qualitative Approach.

Mahdi Yousefi, Seyed Mous Al-Reza Hosseini, Ali Taghipour, Saeed Zibaee, Mohammad Reza Noras

Open access · goldAbstract readReview
In one paragraph

Review in Journal of evidence-based complementary & alternative medicine, 2017. 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
–field-weighted citation impact, top 97% 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, 0 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

5 authors at 2 institutions in 1 country.

Mahdi Yousefi1 School of Persian and Complementary Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Mous Al-Reza Hosseini2 Department of Gastroenterology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Ali Taghipour3 School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Saeed Zibaee4 Razi Vaccine and Serum Research Institute, Mashhad, Iran.
Mohammad Reza Noras1 School of Persian and Complementary Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mashhad University of Medical Sciences · IRRazi Vaccine and Serum Research Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis is a global health problem, with significant adverse impacts on patients' quality of life. In this study, we aimed to review major resources of Iranian traditional medicine and determine whether the etiology and semiology of hepatitis, in particular chronic hepatitis, in traditional and conventional medicine might be aligned. Through such studies, we might be able to develop new approaches for clinical research to improve our current knowledge on the etiology and treatment of this condition. In this qualitative study, recently published studies, scientific databases, and reliable Iranian traditional medicine resources, including the Canon of Medicine, were searched. The integrative use of conventional and traditional medicine for diagnostic and therapeutic purposes could be evaluated to develop new modalities for dealing with this condition. An integrated approach is recommended in clinical research in order to find more efficient and safer treatment.

Indexed as

HepatitisHumansIranMedicine, TraditionalPhytotherapyAvicennahepatitisIranian traditional medicineO’ramtemperamentwaramWaram-e kabed

Identifiers

PMID27089895
PMCPMC5871186
OpenAlexW2340243911

What OpenQuestion holds

Textmetadata
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.