Early cognitive function changes after dexmedetomidine added to propofol-based sedation for gastrointestinal endoscopy
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Abstract Background: Propofol usually used for sedation for gastrointestinal endoscopy, result in short-term, reversible decline in cognitive function. This prospective cohort trial aimed to propofol plus dexmedetomidine can improve cognitive function for elective outpatient gastrointestinal endoscopy. Methods: Patients undergoing gastrointestinal endoscopy were included. Patients were randomized allocation into group C (groupC30 and groupC60), and group D. The group D was The group D was a continuous intravenous pumping of dexmedetomidine at a dose of 0.3μg/kg within 10min before anaesthesia; the group C were given an equal volume of normal saline instead. Patients underwent a MoCA test before sedation and at discharge. Results: The MoCA scores were similar at baseline in each group. Compared to baseline before gastrointestinal endoscopy, the MoCA scores were decreased each group ( group C30: p<0.001; group C60: p<0.001; group D: p=0.002). Compared to group C30, the MoCA scores were better in group C60 (p=0.03) and group D (p<0.001), and those in group D were higher than those in group C60 (p<0.001). Incidence of cognitive impairment in group C30 is 56.6% which ranks the highest among the three groups, and those in group D is 7.8% which ranks the lowest among the three groups, the difference is significant statistically (p<0.001). The MoCA scores were similar between the genders in each group (p>0.05). Conclusions: Dexmedetomidine added to sedation for gastrointestinal endoscopy can improve early cognitive function and reduce incidence of cognitive impairment.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".