Evidence map›Paper›PMID 37259450›Full record

ArticlePharmaceuticals (Basel, Switzerland)2023

Characterization of Potential Intoxications with Medicines in a Regional Setting.

Tânia Nascimento, Teresa Santos, Fátima Rato, Ana Luísa De Sousa-Coelho

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Tânia NascimentoEscola Superior de Saúde, Universidade do Algarve (ESSUAlg), Universidade do Algarve, Campus de Gambelas, Edifício 2, 8005-139 Faro, Portugal.ORCID 0000-0003-2429-7374
Teresa SantosFaculdade de Ciências e Tecnologia, Universidade do Algarve (FCT-UAlg), Universidade do Algarve, Campus de Gambelas, Edifício 2, 8005-139 Faro, Portugal.
Fátima RatoCentro de Informação Antivenenos (CIAV), 1000-113 Lisboa, Portugal.ORCID 0000-0002-0434-4316
Ana Luísa De Sousa-CoelhoEscola Superior de Saúde, Universidade do Algarve (ESSUAlg), Universidade do Algarve, Campus de Gambelas, Edifício 2, 8005-139 Faro, Portugal.ORCID 0000-0002-8451-4302
Algarve Biomedical Center · PTNational Legal Medicine Institute · PTUniversity of Algarve · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Portuguese Poison Information Center (from Portuguese-CIAV) is a call center that offers medical assistance in case of possible intoxication with any kind of product, including medicines. This center´s main goal is to inform and guide the general public and health professionals. This work aimed to analyze and compare data corresponding to the telephone calls from the Algarve region (South of Portugal), received by CIAV during 2019 and 2020, regarding potential intoxications with medicines. To this end, data provided by CIAV on possible cases of medication intoxication in the Algarve region were collected, including the number of calls received, the place of origin of the call, the age group and sex of the intoxicated individual, the route of exposure to the drug, the circumstances of contact with the substance, the existence of symptoms, and the drug or drugs involved in the potential intoxication. The results showed that the number of cases slightly decreased in 2020 (

Indexed as

Algarvedrug intoxicationPortuguese Poison Information Centertoxicology

Identifiers

PMID37259450
PMCPMC9965688
OpenAlexW4321095494

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.