Evidence map›Paper›PMID 35281668›Full record

ArticleInfectious diseases2022

Factors Associated With Resistance to In-Hospital Treatment of Malaria in Angolan Patients.

Euclides Nenga Manuel Sacomboio, Cruz S Sebastião, Jurema Luzia Francisco Antonio, Álvaro Kuanzambi Vezo, Daisy Viviana Sebastião Bapolo, Joana Morais

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. 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

6 authors at 2 institutions in 2 countries.

Euclides Nenga Manuel SacomboioInstituto Nacional de Investigação em Saúde, Luanda, Angola.ORCID https://orcid.org/0000-0002-2341-9133
Cruz S SebastiãoInstituto Nacional de Investigação em Saúde, Luanda, Angola.
Jurema Luzia Francisco AntonioInstituto Superior de Ciências de Saúde, Universidade Agostinho Neto, Luanda, Angola.
Álvaro Kuanzambi VezoInstituto Superior de Ciências de Saúde, Universidade Agostinho Neto, Luanda, Angola.
Daisy Viviana Sebastião BapoloAnglia Ruskin University, Chelmsford/England, UK.
Joana MoraisInstituto Nacional de Investigação em Saúde, Luanda, Angola.
Agostinho Neto University · AOAnglia Ruskin University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malaria is a public health problem, particularly in low- and middle-income countries. In Angola, it is the leading cause of death, morbidity, and absenteeism from work and school. Objective: To evaluate the social and clinical factors associated with resistance to in-hospital treatment. Methodology: A prospective analytical cross-sectional study with a quantitative approach was conducted including 220 patients with malaria. Results: Of the 220 patients enrolled, the majority were between 21 and 40 years old (72.7%), male (53.6%), of peri-urban areas (47.7%), employees (46.4%), and with high parasitemia levels (57.7%). Of the remaining hospitalized patients (61.4%), 20.9% were resistant to treatment. The resistance risk was higher in patients over 40 years [OR: 5.91 (95% CI: 0.76-45.7), Conclusion: Treatment with antimalarial drugs as well as the use of adjuvants such as dipyrone, metoclopramide, ciprofloxacin, and diazepam can reduce the chances of developing resistance to malaria treatment, however, it is necessary to carry out further in-depth studies.

Indexed as

clinicalin-hospitalmalariapharmacologicalResistancesociodemographictreatment

Identifiers

PMID35281668
PMCPMC8905199
OpenAlexW4214911189

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.