Evidence map›Paper›PMID 27433173›Full record

ReviewTuberculosis and respiratory diseases2016

Pulmonary Tuberculosis Diagnosis: Where We Are?

Hamed Ebrahimzadeh Leylabadlo, Hossein Samadi Kafil, Mehdi Yousefi, Mohammad Aghazadeh, Mohammad Asgharzadeh

Open access · diamondAbstract readReview
In one paragraph

Review in Tuberculosis and respiratory diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Semantic Segmentation of TB in Chest X-rays: a New Dataset and Generalization Evaluation.Proceedings of SPIE--the International Society for Optical Engineering · 2025
    Article
  2. Article
  3. Article
  4. Automated Pulmonary Tuberculosis Severity Assessment on Chest X-rays.Journal of imaging informatics in medicine · 2024
    Article
  5. Review
  6. Genetic diversity ofThe Egyptian journal of medical human genetics · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Correlation between GenoType MTBDRTuberculosis and respiratory diseases · 2019
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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 1 institution in 1 country.

Hamed Ebrahimzadeh LeylabadloImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Hossein Samadi KafilDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mehdi YousefiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad AghazadehInfectious Disease and Tropical Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad AsgharzadehBiotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Tabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, in spite of medical advancement, tuberculosis (TB) remains a worldwide health problem. Although many laboratory methods have been developed to expedite the diagnosis of TB, delays in diagnosis remain a major problem in the clinical practice. Because of the slow growth rate of the causative agent Mycobacterium tuberculosis, isolation, identification, and drug susceptibility testing of this organism and other clinically important mycobacteria can take several weeks or longer. During the past several years, many methods have been developed for direct detection, species identification, and drug susceptibility testing of TB. A good understanding of the effectiveness and practical limitations of these methods is important to improve diagnosis. This review summarizes the currently-used advances in nonmolecular and molecular diagnostics.

Indexed as

DiagnosisTuberculosisTuberculosis, Multidrug-Resistant

Identifiers

PMID27433173
PMCPMC4943897
OpenAlexW2465342607

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.