Apoyo a las guías de publicación para estudios de evaluación económica por parte de las revistas biomédicas españolas
Bibliographic record
Abstract
Examinar el apoyo a las guías de publicación para estudios de evaluación económica, como la declaración CHEERS (Consolidated Health Economic Evaluation Reporting Standards), por parte de las revistas biomédicas españolas. Análisis transversal de las normas de autoría de las revistas biomédicas españolas incluidas en Journal Citation Reports 2017. Dos autores examinaron y extrajeron la siguiente información: mención de alguna guía de publicación, declaración CHEERS, recomendaciones del International Committee of Medical Journal Editors (ICMJE) e iniciativa Enhancing the QUAlity and Transparency Of health Research (EQUATOR). De las 28 revistas incluidas, 23 (82,1%; intervalo de confianza del 95% [IC95%]: 63,1-93,9%) mencionaron alguna guía. Una única revista mencionó la declaración CHEERS para estudios de evaluación económica. Veinticuatro revistas (85,7%; IC95%: 67,3-96,0%) mencionaron las recomendaciones del ICMJE y 8 (28,6%; IC95%: 13,2-48,7%) la red EQUATOR. La declaración CONSORT (Consolidated Standards of Reporting Trials) para ensayos clínicos fue la guía más mencionada (n = 21; 75,0%; IC95%: 55,1-89,3%). La mayoría de las normas de autoría no incorporan información sobre cómo presentar evaluaciones económicas. Las revistas deberían apoyar el cumplimiento de las guías de publicación por parte de las personas autoras y revisoras. To examine the endorsement of reporting guidelines for economic evaluation studies, such as the CHEERS (Consolidated Health Economic Evaluation Reporting Standards) statement, by Spanish biomedical journals. Cross-sectional analysis of the instructions to authors of Spanish biomedical journals included in the Journal Citation Reports 2017. Two authors examined and extracted the following information: mention of any reporting guideline, the CHEERS statement, the recommendations of the International Committee of Medical Journal Directors (ICMJE) and the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) network. Of the 28 journals included, 23 (82.1%; 95% confidence interval [95%CI]: 63.1-93.9%) mentioned at least one reporting guideline in the instructions to authors. Only one journal mentioned the CHEERS statement for health economic evaluations. Twenty-four journals (85.7%; 95%CI: 67.3-96.0%) mentioned the ICMJE recommendations and 8 (28.6%; 95%CI: 13.2-48.7%) mentioned the EQUATOR network. The CONSORT (Consolidated Standards of Reporting Trials) statement for clinical trials was the most- mentioned reporting guideline (n = 21; 75.0%; 95%CI: 55.1-89.3%). Most of the instructions to authors do not provide guidance on how to report economic evaluations. Journals should support compliance with reporting guidelines by authors and peer-reviewers.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.037 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.031 |
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; both teacher heads agree on what is shown here.
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".