Evidence map›Paper›PMID 29184648›Full record

ReviewInternational journal of preventive medicine2017

Estimating the prevalence of Positive Tuberculin Skin Test Reactions in General Population and High-risk Groups: A Meta-analysis.

Mohammad Sadegh Rezai, Reza Tabrizi, Ali Akbar Haghdoost, Mahdi Afshari, Siavosh Abedi, Maryam Akbari, Mohammad Amin Bahrami, Mahmood Moosazadeh

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of preventive medicine, 2017. 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
1.0field-weighted citation impact, top 25% 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, 9 citations in OpenAlex.

  1. Serosal membrane tuberculosis in Iran: A comprehensive review of evidences.Journal of clinical tuberculosis and other mycobacterial diseases · 2023
    Review
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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

8 authors at 5 institutions in 1 country.

Mohammad Sadegh RezaiInfectious Diseases Research Center with Focus on Nosocomial Infection, Mazandaran University of Medical Sciences, Sari, Iran.
Reza TabriziHealth Policy Research Center, Institute of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Ali Akbar HaghdoostModeling in Health Research Center, Institute for Future Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Mahdi AfshariDepartment of Community Medicine, Zabol University of Medical Sciences, Zabol, Iran.
Siavosh AbediDepartment of Internal Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Maryam AkbariHealth Policy Research Center, Institute of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad Amin BahramiDepartment of Healthcare Management, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mahmood MoosazadehHealth Science Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Mazandaran University of Medical Sciences · IRShiraz University of Medical Sciences · IRKerman University of Medical Sciences · IRShahid Sadoughi University of Medical Sciences and Health Services · IRZabol University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Results of tuberculin skin test (TST) surveys among different populations have been reported in many studies as a method for detecting primary

Indexed as

Latent tuberculosispurified protein derivativetuberculin skin testtuberculosis

Identifiers

PMID29184648
PMCPMC5686919
OpenAlexW2777943994

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.