Incidence and impact of withdrawal of life-sustaining therapies in clinical trials of severe traumatic brain injury: A systematic review
Bibliographic record
Abstract
Background Most deaths following severe traumatic brain injury follow decisions to withdraw life-sustaining therapies. However, the incidence of the withdrawal of life-sustaining therapies and its potential impact on research data interpretation have been poorly characterized. The aim of this systematic review was to assess the reporting and the impact of withdrawal of life-sustaining therapies in randomized clinical trials of patients with severe traumatic brain injury. Methods We searched Medline, Embase, Cochrane Central, BIOSIS, and CINAHL databases and references of included trials. All randomized controlled trials published between January 2002 and August 2015 in the six highest impact journals in general medicine, critical care medicine, and neurocritical care (total of 18 journals) were considered for eligibility. Randomized controlled trials were included if they enrolled adult patients with severe traumatic brain injury (Glasgow Coma Scale ≤ 8) and reported data on mortality. Our primary objective was to assess the proportion of trials reporting the withdrawal of life-sustaining therapies in a publication. Our secondary objectives were to describe the overall mortality rate, the proportion of deaths following the withdrawal of life-sustaining therapies, and to assess the impact of the withdrawal of life-sustaining therapies on trial results. Results From 5987 citations retrieved, we included 41 randomized trials (n = 16,364, ranging from 11 to 10,008 patients). Overall mortality was 23% (range = 3%-57%). Withdrawal of life-sustaining therapies was reported in 20% of trials (8/41, 932 patients in trials) and the crude number of deaths due to the withdrawal of life-sustaining therapies was reported in 17% of trials (7/41, 884 patients in trials). In these trials, 63% of deaths were associated with the withdrawal of life-sustaining therapies (105/168). An analysis carried out by imputing a 4% differential rate in instances of withdrawal of life-sustaining therapies between study groups yielded different results and conclusions in one third of the trials. Conclusion Data on the withdrawal of life-sustaining therapies are incompletely reported in randomized controlled trials of patients with severe traumatic brain injury. Given the high proportion of deaths due to the withdrawal of life-sustaining therapies in severe traumatic brain injury patients, and the potential of this medical decision to influence the results of clinical trials, instances of withdrawal of life-sustaining therapies should be systematically reported in clinical trials in this group of patients.
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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 | 0.085 | 0.347 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.013 |
| Bibliometrics | 0.015 | 0.016 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".