Evidence map›Paper›PMID 37519898›Full record

ArticleThe Egyptian journal of medical human genetics2023

Genetic diversity of

Peyvand Kashi, Farzaneh Pakdel, Mohammad Hossein Soroush Barhaghi, Mohammad Ahangarzadeh Rezaee, Sepehr Taghizadeh, Javid Sadeghi, Mehdi Yousefi, Reza Ghotaslou, Mohammad Asgharzadeh, Pourya Gholizadeh and 1 more

Open access · diamondAbstract read
In one paragraph

Article in The Egyptian journal of medical human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 2 institutions in 1 country.

Peyvand KashiStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Farzaneh PakdelDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Hossein Soroush BarhaghiDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Ahangarzadeh RezaeeImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Sepehr TaghizadehImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Javid SadeghiDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mehdi YousefiResearch Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran.
Reza GhotaslouImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad AsgharzadehBiotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Pourya GholizadehResearch Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran.
Hossein Samadi KafilDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Tabriz University of Medical Sciences · IRBiotechnology Research Center · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis (TB) is considered one of the most infectious diseases in the world. In this study, we intended to examine the epidemiology of tuberculosis by MIRU-VNTR to define the changes that occur in the transmission of tuberculosis in the region during the COVID-19 era. A total of 120 Results: The isolates were collected from 78 male (65%) and 39 female (32.5%) Iranian patients and 3 (2.5%) Azerbaijani patients. Ninety-three distinct patterns were identified including 15 clustered patterns and 36 unique patterns. The largest cluster was composed of seven isolates. Furthermore, one cluster with 5 members, four clusters with 3 members, and nine clusters with 2 members. In MIRU-VNTR typing, 75 clusters belonged to the Tabriz region and just 3 to the Republic of Azerbaijan. All isolates were sensitive to rifampin, isoniazid, and ethambutol. Conclusions: Results of the current study showed COVID-19 pandemic had a direct effect on the transmission and diagnosis of tuberculosis. Less diagnosis and less clustering can indicate public controls and hygiene, and the use of masks had a direct effect on the transmission and diagnosis of tuberculosis. However, misidentification and less focus on other respiratory infections are expected during the pandemic. Studies on the co-infection of COVID-19 and tuberculosis and the role of mask and sanitization against TB are strongly recommended.

Indexed as

COVID-19EpidemiologyGenotypingMIRU-VNTRMycobacterium tuberculosis

Identifiers

PMID37519898
PMCPMC9829222
OpenAlexW4313893350

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.