Quality of structured abstracts of original research articles in the British Medical Journal, the Canadian Medical Association Journal and the Journal of the American Medical Association: a 10-year follow-up study
Bibliographic record
Abstract
BACKGROUND: We compared the quality of structured abstracts of original research articles from the British Medical Journal (BMJ), Canadian Medical Association Journal (CMAJ), and the Journal of the American Medical Association (JAMA) from 1991 to 1992 and 2001 to 2002 between journals. METHODS: A random, stratified sample of 54 abstracts from 2001 to 2002 in BMJ, CMAJ, and JAMA was compiled and coded. Two blinded raters reviewed 27 abstracts each against 33 objective criteria, separated into eight categories (purpose, research design, setting, subjects, intervention, measurement of variables, results, and conclusion). The quality score was the proportion of criteria present (range = 0-1). RESULTS: The overall mean quality score (0.74) for 2001-2002 was significantly higher than the 1988-1989 unstructured abstracts (mean = 0.57; p<0.001) but not different from the 1991-1992 structured abstracts (mean = 0.74; p>0.05). In 2001-2002, abstracts of CMAJ and JAMA (both means = 0.76) improved significantly over 1991-1992 (p<0.05) and scored significantly higher than BMJ (mean = 0.71; d.f. = 16, p<0.05). Some individual criteria scores (intervention, statistical information) improved but information was found consistently under-represented in areas that imply shortcomings of the studies. INTERPRETATION: We found a consistency in abstract quality regardless of the precise format used by different journals. This indicates that the framework for research articles already in place should be maintained and further modification of the framework may not necessarily improve the abstract quality.
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 | 0.697 | 0.593 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".