Evidence map›Paper›PMID 40428207›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Development of an RT-LAMP Assay for Detecting

Ebthag A M Mussa, Anis Rageh Al-Maleki, Musheer A Aljaberi, Abdulsamad Alsalahi, Mohd Nasir Mohd Desa, Azmiza Syawani Jasni, Siti Zubaidah Ramanoon, Atiyeh M Abdallah, Rukman Awang Hamat

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. First Report ofMicroorganisms · 2026
    Article
  3. Article
  4. 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

9 authors.

Ebthag A M MussaDepartment of Medical Microbiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.
Anis Rageh Al-MalekiDepartment of Medical Microbiology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.ORCID 0000-0002-9927-8859
Musheer A AljaberiDepartment of Internal Medicine, Section Nursing Science, Erasmus University Medical Center (Erasmus MC), 3015 GD Rotterdam, The Netherlands.ORCID 0000-0001-6533-7868
Abdulsamad AlsalahiDepartment of Pharmacology, Faculty of Pharmacy, Sana'a University, Mazbah District, Sana'a Secretariat 1247, Yemen.ORCID 0000-0002-2967-0556
Mohd Nasir Mohd DesaDepartment of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0003-0200-4796
Azmiza Syawani JasniDepartment of Medical Microbiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.
Siti Zubaidah RamanoonDepartment of Farm and Exotic Animal Medicine and Surgery, Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0003-0900-8407
Atiyeh M AbdallahDepartment of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha 2713, Qatar.ORCID 0000-0003-4812-956X
Rukman Awang HamatDepartment of Medical Microbiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0001-6288-3791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of antimicrobial-resistant (AMR) bacteria in humans, animals, and the environment underscores the necessity for a rapid, sensitive, and specific method to identify resistance genes.

Indexed as

antimicrobial-resistantenterococciOne HealthRT-LAMPtet(M)tetracycline resistance

Identifiers

PMID40428207
PMCPMC12109771

What Socratic 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 Socratic graph.