Use and misuse of cost-effectiveness terminology in the gastroenterology literature: a systematic review
Bibliographic record
Abstract
OBJECTIVES: The increased popularity of economic analyses for evaluating medical interventions has given rise to concern about the rigor with which economic constructs and terminology are used. True cost-effectiveness analysis considers both the costs and outcomes of alternative interventions. A systematic review of the gastroenterology literature was undertaken to evaluate how appropriately cost-effectiveness is assessed. METHODS: A structured MEDLINE search identified all studies published in major gastroenterology journals between 1980 and 1998 that claimed in their abstracts to have assessed the cost-effectiveness of an intervention. Blinded copies of eligible studies were assessed by two independent reviewers who used standard criteria to evaluate the use of economic terminology and key economic constructs. Discrepancies were resolved by consensus. Studies met a "broad criterion" for appropriateness by evaluating both costs and effects and a "strict criterion" by demonstrating dominance of one strategy or considering both incremental costs and incremental effects. RESULTS: Of 110 eligible studies, 77 (70.0%) met the broad criterion and 62 (56.4%) met the strict criterion for appropriateness. This did not seem to vary with either journal impact factor or publication year. Only eight of 18 studies reporting an incremental cost-effectiveness ratio compared its value to an external standard. Few studies explicitly stated their analytic perspective, and a minority of those with time horizons longer than 1 yr had discounted future costs or effects. CONCLUSIONS: Although most studies seem to use cost-effectiveness terminology well, there remains room to improve the rigor with which economic terminology and constructs are applied.
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 | 0.214 | 0.526 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.012 | 0.009 |
| Bibliometrics | 0.039 | 0.034 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; the direct Gemma label and the distilled Codex classifier 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".