Evidence map›Paper›PMID 36830239›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Artificial Intelligence Applied to Improve Scientific Reviews: The Antibacterial Activity of

Francisco Javier Álvarez-Martínez, Fernando Borrás-Rocher, Vicente Micol, Enrique Barrajón-Catalán

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Poly(methyl vinyl ether-Polymers · 2026
    Review
  2. Dermocosmetic Potential ofAntioxidants (Basel, Switzerland) · 2026
    Review
  3. Essential Oils and Extracts from Epazote (Plants (Basel, Switzerland) · 2025
    Review
  4. Article
  5. 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

4 authors.

Francisco Javier Álvarez-MartínezInstituto de Investigación, Desarrollo e Innovación en Biotecnología Sanitaria de Elche (IDiBE), Universidad Miguel Hernández (UMH), 03202 Elche, Spain.ORCID 0000-0002-5275-1282
Fernando Borrás-RocherStatistics and Operative Research Department, UMH, Avda, Universidad s/n, 03202 Elche, Spain.ORCID 0000-0002-5519-4573
Vicente MicolInstituto de Investigación, Desarrollo e Innovación en Biotecnología Sanitaria de Elche (IDiBE), Universidad Miguel Hernández (UMH), 03202 Elche, Spain.ORCID 0000-0001-8089-0696
Enrique Barrajón-CatalánInstituto de Investigación, Desarrollo e Innovación en Biotecnología Sanitaria de Elche (IDiBE), Universidad Miguel Hernández (UMH), 03202 Elche, Spain.ORCID 0000-0001-8113-0795

Funding

Agencia Valenciana de la Innovación INNEST/2022/103Generalitat Valenciana PROMETEO/2021/059Official Funding Agency for Biomedical Research of the Spanish Government, Institute of Health Carlos III (ISCIII) through CIBEROBN CB12/03/30038Requalification of the Spanish University System for 2021/2023 grant. E.B-C has been also supported by this grant.Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033/FEDER, UE; projects: RTI2018-096724-B-C21, TED2021- 129932B-C21 and PID2021-125188OB-C32
6 · The paper itself

Abstract

Reviews have traditionally been based on extensive searches of the available bibliography on the topic of interest. However, this approach is frequently influenced by the authors' background, leading to possible selection bias. Artificial intelligence applied to natural language processing (NLP) is a powerful tool that can be used for systematic reviews by speeding up the process and providing more objective results, but its use in scientific literature reviews is still scarce. This manuscript addresses this challenge by developing a reproducible tool that can be used to develop objective reviews on almost every topic. This tool has been used to review the antibacterial activity of

Indexed as

antibacterialartificial intelligenceCistusclusteringnatural language processingNLPpatent

Identifiers

PMID36830239
PMCPMC9952093

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.