Evidence map›Paper›PMID 36839617›Full record

ArticlePathogens (Basel, Switzerland)2023

Detection of

Ye Win Aung, Kiatichai Faksri, Arunnee Sangka, Kanchana Tomanakan, Wises Namwat

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Peroxidase-Mimicking Nanozymes for Rapid Detection of Infectious Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
  5. The application of aptamer in tuberculosis diagnosis: a systematic review.Tropical diseases, travel medicine and vaccines · 2024
    Review
  6. Review
  7. Heteroresistance ofBiology · 2023
    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

5 authors at 1 institution in 1 country.

Ye Win AungDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Kiatichai FaksriDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0001-5022-4182
Arunnee SangkaFaculty of Associated Medical Science, Khon Kaen University, Khon Kaen 40002, Thailand.
Kanchana TomanakanDepartment of Medical laboratory, Khon Kaen Hospital, Khon Kaen 40000, Thailand.
Wises NamwatDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0002-6375-2811
Khon Kaen University · TH

Funding

Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand IN61311
6 · The paper itself

Abstract

Tuberculosis (TB) is one of the top 10 causes of death worldwide. It is challenging to find methods of diagnosis of active pulmonary TB that are sensitive enough to detect cases for proper treatment before unintentional transmission. Droplet digital PCR (ddPCR) is a highly sensitive method to detect genetic material of pathogens, but it has rarely been used for diagnosis of TB. This study compared the sensitivity of ddPCR with that of GeneXpert and AFB smear microscopy in 180 leftover sputum samples from patients suspected of having TB on the basis of clinical symptoms and radiography. Absolute quantification of copy numbers of MTB-specific genes was possible using ddPCR targeting the

Indexed as

droplet digital PCRGeneXpert MTB/RIF assayleftover sputummpt64 genetuberculosis

Identifiers

PMID36839617
PMCPMC9966028
OpenAlexW4321374335

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.