Síndrome de marcapasos: una causa subestimada de insuficiencia cardíaca
Bibliographic record
Abstract
"La aparición de signos y síntomas de insuficiencia cardíaca (IC) o fibrilación auricular (FA) en pacientes con marcapasos, particularmente en pacientes añosos y con múltiples co-morbilidades, son atribuidos frecuentemente a mecanismos etiopatogénicos diversos. El síndrome de marcapasos representa una entidad relativamente frecuente, que suele ser subestimada o diagnosticada tardíamente y que afecta la calidad de vida de muchos pacientes con dispositivos. La prevalencia de este síndrome es variable y puede aparecer en pacientes, tanto con marcapasos unicamerales (modo VVI) como en marcapasos bicamerales (modo DDD). Existen fundamentalmente dos mecanismos principales involucrados en el síndrome de marcapasos: la pérdida de la sincronía aurículo ventricular y la persistencia de la conducción retrógrada ventrículo-auricular. La elección incorrecta del tipo de dispositivo o la forma de estimulación pueden determinar una mayor morbilidad, por incremento en el desarrollo de FA, stroke o IC."
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".