EFICACIA DEL TRATAMIENTO CON ENALAPRIL FRENTE LOSARTAN EN PACIENTES ADULTOS RENALES CRÓNICOS PARA EL CONTROL DE LA HIPERTENSIÓN ARTERIAL
Bibliographic record
Abstract
Objective: Systematically analyze the evidence on the effectiveness of treatment with enalapril versus losartan in chronic renal adult patients for the control of arterial hypertension.Material and Methods: This systematic review consists of 11 scientific articles that were found in the following databases: Epistemonikos and Pubmed.Among the 11 evidences the type of research belongs the 72.73% (8/11) systematic review, 18.18% (2/11) cohort study and a 9.09% (1/11) randomized controlled clinical trials.36.37% of the evidence found is from EE. Followed by 18.18% of China, 18.18% Italy, 9.09% Kenya, 9.09% Canada and 9.09% Switzerland.Of which 81.82% (9 of 10) are of high quality and 18.18% (2 of 10) they are of moderate quality.Results: Of the evidences found, 81.82% (n = 9/11) of the evidence found are effective for the treatment of hypertension arterial for patients with chronic renal disease.9.09% (n = 1/11) shows that Enalapril is more effective than Losartan and 9.09% (n = 1/11) shows that Losartan is more effective than Enalapril.Conclusion: Enalapril as well as losartan are effective for the control of arterial hypertension in chronic renal adult patients.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".