Evidence map›Paper›PMID 35548803›Full record

ArticleRSC advances2018

Sensitive detection of the IS

Soe Paing Kyaw, Jariya Hanthamrongwit, Kulachart Jangpatarapongsa, Prasong Khaenam, Chaniya Leepiyasakulchai

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

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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 4 countries.

Soe Paing KyawDepartment of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University Bangkok Thailand 73170 chaniya.lee@mahidol.edu.ORCID https://orcid.org/0000-0001-6559-8291
Jariya HanthamrongwitDepartment of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University Bangkok Thailand 73170 chaniya.lee@mahidol.edu.ORCID https://orcid.org/0000-0003-3513-4474
Kulachart JangpatarapongsaCenter for Research and Innovation, Faculty of Medical Technology, Mahidol University Bangkok Thailand 73170.ORCID https://orcid.org/0000-0002-4181-3425
Prasong KhaenamCenter for Standardization and Product Validation, Faculty of Medical Technology, Mahidol University Bangkok Thailand 73170.
Chaniya LeepiyasakulchaiDepartment of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University Bangkok Thailand 73170 chaniya.lee@mahidol.edu.ORCID https://orcid.org/0000-0002-2390-3048
University of Medical Sciences and Technology · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is ranked as the top killer among infectious diseases worldwide. Early and accurate diagnosis of the disease is crucial to end the global TB epidemic. The current commercially available molecular tests are still unaffordable by most TB affected communities. Herein, we developed a novel rapid and sensitive diagnostic method to detect the IS

Identifiers

PMID35548803
PMCPMC9086544
OpenAlexW2892675630

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.