Evidence map›Paper›PMID 36780451›Full record

ArticlePloS one2023

A study about management of drugs for leprosy patients under medical monitoring: A solution based on AHP-Electre decision-making methods.

Igor W S Falcão, Daniel S Souza, Diego L Cardoso, Fernando A R Costa, Karla T F Leite, Harold D de M, Claudio G Salgado, Moisés B da Silva, Josafá G Barreto, Patricia F da Costa and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 4 institutions in 1 country.

Igor W S FalcãoTechnology Institute, Federal University of Para, Belém, PA, Brazil.ORCID 0000-0003-3691-7358
Daniel S SouzaTechnology Institute, Federal University of Para, Belém, PA, Brazil.
Diego L CardosoTechnology Institute, Federal University of Para, Belém, PA, Brazil.
Fernando A R CostaCenter for Higher Amazon Studies, Federa University of Para, Belém, RJ, Brazil.
Karla T F LeiteComputer Science, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil.
Harold D de MElectrical Engineering Department, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil.
Claudio G SalgadoDermato-Immunology Laboratory, Federal University of Para, Marituba, PA, Brazil.
Moisés B da SilvaDermato-Immunology Laboratory, Federal University of Para, Marituba, PA, Brazil.
Josafá G BarretoDermato-Immunology Laboratory, Federal University of Para, Marituba, PA, Brazil.
Patricia F da CostaDermato-Immunology Laboratory, Federal University of Para, Marituba, PA, Brazil.
Adriano M Dos SantosTechnology Institute, Federal University of Para, Belém, PA, Brazil.
Guilherme A B CondeInstitute of Engineering and Geosciences - IEG, Federal University of Western Para, Belém, PA, Brazil.
Marcos C da R SeruffoTechnology Institute, Federal University of Para, Belém, PA, Brazil.
Universidade Federal do Pará · BRUniversidade do Estado do Rio de Janeiro · BRAmazon Research Foundation · BRUniversidade Federal do Oeste do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leprosy, also known as Hansen's, is one of the listed neglected tropical diseases as a major health problem global. Treatment is one of the main alternatives, however, the scarcity of medication and its poor distribution are important factors that have driven the spread of the disease, leading to irreversible and multi-resistant complications. This paper uses a distribution methodology to optimize medication administration, taking into account the most relevant attributes for the epidemiological profile of patients and the deficit in treatment via Polychemotherapy. Multi-criteria Decision Methods were applied based on AHP-Electre model in a database with information from patients in the state of Para between 2015 and 2020. The results pointed out that 84% of individuals did not receive any treatment and, among these, the method obtained a gain in the distribution of 68% in patients with positive diagnosis for leprosy.

Indexed as

LeprosyDatabases, FactualData ManagementDrug Therapy, CombinationHumansPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID36780451
PMCPMC9924998
OpenAlexW4320489906

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.