Methodological Approaches for a Systematic Review of End-of-Life Care
Bibliographic record
Abstract
As background for a National Institutes of Health State of the Science Conference on End-of-Life-Care, we performed a systematic review of end-of-life care and outcomes. The systematic review was intended to evaluate the evidence in the field from the perspective of concerns important to patients, caregivers, and the health care system. This article relates the challenges in performing a systematic review of end-of-life care and outcomes, and describes the methods that we used to define the scope, search the literature, develop exclusion and inclusion criteria, incorporate various types of articles, and synthesize the results. Major challenges to conducting a review included the need to define "end of life," clarify a conceptual framework of outcomes including definitions of terms and the relationships among terms, and determine specific goals for the review. The review identified 24,423 total citations, of which 911 comprised the final set used for the evidence report. This very large, diverse body of literature reflects the tremendous growth of the field of end-of-life care over the last decade.
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 | 0.005 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.017 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".