Evidence map›Paper›PMID 32280346›Full record

ReviewInternational journal of microbiology2020

An Overview of the Molecular Methods in the Diagnosis of Gastrointestinal Infectious Diseases.

Muhammad Amjad

Open access · goldAbstract readReview
In one paragraph

Review in International journal of microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.1field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
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  5. Comparison of the LuminexJournal of medical microbiology · 2025
    Article
  6. Acute infectious gastroenteritis in childhood: the role of rapid multiplex molecular syndromic panels in diagnosis and clinical management.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    Review
  7. Real-TimeACS biomaterials science & engineering · 2025
    Article
  8. Article
  9. From Species to Genes: A New Diagnostic Paradigm.Antibiotics (Basel, Switzerland) · 2024
    Review
  10. Prevalence ofNew microbes and new infections · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
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  17. 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

1 author at 1 institution in 1 country.

Muhammad AmjadDepartment of Clinical Laboratory Science, Marshall University, 1 John Marshall Drive, Huntington, WV 25755, USA.ORCID https://orcid.org/0000-0002-1580-2941
Marshall University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal infectious diseases are very common worldwide and an important cause of morbidity and mortality, particularly in infants in developing countries. Diarrhea and other intestinal infections are caused by a wide range of bacteria, viruses, protozoa, and parasites. Conventional diagnosis of these infections is performed by culture, microscopy, and antigen detection immunoassays. The traditional culture and microscopy procedures are time-consuming, lack sensitivity, and require special laboratory setup and well-trained staff. However, based on the advancement in the molecular diagnostics and with the introduction of commercially available tests, traditional diagnostic techniques have been continuously replaced by these newer rapid antigen detection and molecular-based methods. This review summarizes and discusses the availability, advantages, and disadvantages of molecular methods in the detection and identification of human gastrointestinal pathogens.

Identifiers

PMID32280346
PMCPMC7128059
OpenAlexW3013167803

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.