PERFIL FARMACOTERAPÊUTICO DE PACIENTES COM DIABETES MELLITUS ATENDIDOS POR FARMACÊUTICOS EM ALEGRE/ES
Bibliographic record
Abstract
A Diabetes Mellitus (DM) é uma doença que necessita de atenção em relação ao uso dos medicamentos e o acompanhamento farmacoterapêutico pode promover melhoria no controle dessa doença.Assim, o objetivo deste estudo foi avaliar o perfil farmacoterapêutico de pacientes com DM.Um formulário de coleta de dados foi elaborado juntamente com um manual de preenchimento.Foram atendidas 15 pessoas com DM, com média de idade foi de 64,4 anos, 80% mulheres e com média de 5,2 anos de estudo.Dentre eles, seis apresentaram glicemia aleatória acima do valor de referência e 11 apresentaram hemoglobina glicada acima do recomendado, com média geral de 9,54%.Os pacientes apresentaram consumo médio de 6,53 medicamentos, sendo a metformina o mais utilizado.As informações coletadas poderão ser utilizadas para auxiliar na realização de intervenções farmacêuticas direcionadas para cada paciente, a fim de promover o adequado manejo da DM.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".