Reporting Quality of Heart Failure Randomized Controlled Trials 2000–2020: Temporal Trends in Adherence to CONSORT Criteria
Bibliographic record
Abstract
AIM: Heart failure (HF) is a major cause of morbidity and mortality in older adults. Randomized controlled trials (RCTs) inform HF policy and practice, but the accurate interpretation of results is contingent on clear and transparent reporting. The CONsolidated Standards Of Reporting Trials (CONSORT) statement serves as a guide to RCT reporting. We evaluated the quality of reporting in HF RCTs in high-impact journals by assessing their adherence to CONSORT. METHODS AND RESULTS: We searched MEDLINE, EMBASE and CINAHL for HF RCTs published in high-impact journals 2000-2020. We assessed the proportion of CONSORT criteria that individual HF RCTs adhered to, and used the Jonckheere-Terpstra test to examine temporal trends in adherence. Multivariable linear regression explored the association between trial characteristics and adherence to CONSORT. Primary analysis assessed adherence to CONSORT 2010 update. A sensitivity analysis assessed adherence to the original (1996) CONSORT criteria. Among 221 RCTs analysed, the mean (standard deviation [SD]) adherence was suboptimal overall (mean [SD] adherence 69.7 [11.5]%) (5513/7913 criteria), with a temporal increase in adherence over the 20-year period (p < 0.001). Factors associated with adherence included publication after versus during/before 2010 (β = 10.17, 95% confidence interval [CI] 7.64-12.70; p < 0.001); two-group parallel individual-level randomization versus other (including multi-group or cluster randomization) (β = 5.81, 95% CI 2.88-8.73; p < 0.001); and multicentre versus single-centre trials (β = 7.26, 95% CI 3.25-11.27; p < 0.001). There was no difference in trial adherence to the updated CONSORT (2010) versus the original (1996) CONSORT criteria, and temporal trends in adherence to both sets of criteria were similar, likely due to overlap between the two sets of criteria. Trials with greater adherence to CONSORT were published in higher impact factor journals, with a positive correlation (r = 0.312; p < 0.001). CONCLUSION: The quality of reporting in HF RCTs, as measured by CONSORT adherence, has improved over time but remains suboptimal.
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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 | 0.735 | 0.850 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.012 | 0.017 |
| Bibliometrics | 0.023 | 0.031 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.008 | 0.010 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".