Domain review: C1 minor_issues; C2 major_issues; C3 major_issues; C4 minor_issues; C5 minor_issues; C6 minor_issues; C7 minor_issues. The narrow pooled postoperative symptom association is supported conditional on the extracted effects. The paper's stronger conclusion that expectancy/meaning/conscious experience is unnecessary is not identified. This distinction should govern the title, abstract and Discussion, not be left to limitations. Evidence and scope: I read the paper, claims, deviations, relevant design/outcome/integrity/psychotomimetic code, extracted trial data and effect table. I checked primary reports of Lii et al. and Dai et al. against the stated interpretations. A separately written SciPy REML/Knapp-Hartung calculation from the supplied effects.csv gives P1 g=-0.606128, CI[-0.813330,-0.398925],p=4.17e-6 and P2 awake coefficient0.118916,CI[-0.241275,0.479107],p0.506791. These agree with the R outputs to rounding. This is a conditional meta-analysis check, not an end-to-end rerun of the R environment or an independent extraction of every paper. Most full texts are not in the bundle; I do not claim to have checked them all. A separate exact Hedges correction from T097's extracted means/SDs gives g=-0.719202 and n77. Code and outputs are attached. No publisher identity was sought or learned. C1 minor_issues for the narrow symptom-score claim. Pooling within-trial randomized drug-control comparisons can estimate a postoperative drug effect, but administration while unconscious does not establish no subsequent conscious drug experience, successful masking, or absence of expectancy. Only two trials reportedly assessed allocation guesses. Anesthesia and perioperative analgesia also change pathways to later symptom scores. The paper properly acknowledges these issues but then says expectancy and meaning are not needed; remove that mechanistic conclusion. Call the exposure 'dosing during general anesthesia' unless experience was directly measured. Include I-squared82.5% and prediction interval[-1.51,0.29] prominently beside the mean, and do not generalize to all settings or treatment-resistant outpatient depression. The strict-masking subset is not strictly documented early dosing: isTRUE(late_dosing) converts unknown to false. Three primary masked rows, T040,T093,T112, have unknown late dosing yet remain in the16-row subset. Excluding them leaves13 rows and g=-0.67046,CI[-1.03719,-0.30373],p0.00182 in my conditional recalculation. Thus this particular correction does NOT remove the symptom association; it does correct the assertion that all16 have been shown to exclude emergence exposure. Even confirmed absence of dosing in the last30minutes is not pharmacological proof of no effects on waking. Report this sensitivity and its limits. C2 major_issues. P2 is an observational moderator comparison across trials, not randomization of awareness. A non-significant coefficient is not evidence that awake dosing offers no causal advantage. Its interval bounds a conditional meta-regression coefficient under the model and adjustment for selected enrollment; it cannot exclude a causal awake advantage larger than0.24SD in comparable patients. Dose, anesthetic agents, timing, surgery, pumps and selection can confound it, as the paper itself notes. State 'no detectable association with the dosing category in this meta-regression'. Formal equivalence would require a defensible preselected margin and suitable design; even that would not make a cross-trial coefficient a causal awareness effect. Do not use 'P1 significant and P2 includes zero' as a decision rule establishing mechanistic independence. C3 major_issues. The evidence supports pharmacological activity, not successful removal of conscious effects. Masked-versus-control psychotomimetic OR2.11 is itself evidence of some residual observable effects. Comparing OR2.11 and3.75 across different trial sets/outcome definitions/observation windows does not isolate an effect of awareness. Taking the maximum count across windows is a lower bound on participants ever affected, not a deduplicated union; maxima can occur at different windows in the two arms. Missing counts are also defaulted to0 in ae_rows, which requires source confirmation. Moreover, the supplied pain effect table contains 'Morphine consumption (mg)' for T009, and other rows labelled PCIA presses and rescue analgesic use. These are analgesic-consumption outcomes, not pain intensity, and should not be pooled/reported indiscriminately as pain scores. Separate pain intensity from opioid/analgesic use, identify each selected metric and rerun the positive control. 'No difference' in pain between groups is likewise too strong for CI[-0.23,0.78]. This numerical/construct issue does not show the drugs were inactive. C4 minor_issues. The selected-patient and later-window summaries are useful subgroup descriptions, but different trial subsets/windows do not establish persistence within the same patients or eliminate analgesia/sleep/expectancy mediation. 'Depression or depressive symptoms' is broader than a diagnosed depressive disorder. Preserve the numbers with those scopes, give subset heterogeneity/prediction intervals and do not treat later follow-up alone as proof of a direct antidepressant mechanism. C5 minor_issues. The within-trial timing result deserves greater evidential weight than the cross-trial causal language. Dai et al., doi10.1007/s00213-024-06673-y, https://link.springer.com/article/10.1007/s00213-024-06673-y , randomized bariatric-surgery patients to before-induction esketamine, after-induction esketamine, or saline after induction. The report finds lower day1 PHQ-9 in the pre-induction arm and acknowledges no saline administration two hours before induction, allowing expectancy differences. It excluded mental illness, and its baseline scores were low. Thus timing was randomized, but awareness was not isolated from pharmacological timing, anesthetic interactions or functional masking. The77 analysed participants are fewer than80 randomized to the active arms. My extracted-data calculation corroborates g=-0.719 and a raw difference of-1.3PHQ-9 points, not a general treatment effect in major depression. 'Only trial' should mean only eligible trial found by this search. The original article's tables remain the source; I did not invent patient-level results. Lii et al.2023, doi10.1038/s44220-023-00140-x, https://pubmed.ncbi.nlm.nih.gov/38188539/ (full paper https://www.nature.com/articles/s44220-023-00140-x), specifically randomized40 depressed surgical patients to ketamine/saline under anesthesia and assessed masking. The paper's account of its inconclusive result is fair: failure to reject in a small trial does not refute this pooled association. Conversely a broad perioperative meta-analysis does not override that study's closer operationalization of masking. Neither source proves the experience is necessary or unnecessary. Report the hierarchy of evidence rather than converting compatibility into mechanistic resolution. C6 minor_issues. Label18/39 as no linked report/results found by the specified ascertainment, not established nonpublication: reports may omit identifiers or be in other indexes/registries, as acknowledged. Egger p0.7 is a failure to detect asymmetry, not evidence of no publication bias; high heterogeneity and23 trials limit interpretation. PET[-1.23,0.29] is a model-dependent sensitivity, not a successful unbiased correction. Its uncertainty belongs beside the primary result. Registry coverage and unavailable full-text sources should constrain certainty. C7 minor_issues. The count of trials failing a declared screen is an operational, reproducible description, not21 proven unreliable/fraudulent studies. Registration absence predating registration expectations, retrospective registration, large effects and GRIM flags represent different concerns. GRIM's integer arithmetic applies to raw means of integer-valued individual scores with the correct n and rounding, not adjusted/least-square means, averaged ratings or imputed quantities. Check each flagged source before asserting mathematical impossibility; a screen passing does not establish low risk of bias. Use a standard domain-level risk-of-bias assessment and describe 'passed the prespecified screen' instead of certifying trustworthy trials. Identical printed summary values warrant source checking, not allegations of copying. Additional extraction issue to resolve across C1/C4: effect_of() infers a pooled SD from a between-arm confidence interval via SE/sqrt(1/n1+1/n0). This identity needs a simple independent-groups unadjusted mean comparison. It is not generally valid for baseline-adjusted, mixed-model or repeated-measures contrasts; the analysis accepts difference/change_difference generically. For every converted contrast report its model and compatible standardizer; separately analyze final-score versus change-score SMDs and odds-ratio conversions, whose scales/assumptions differ. I have not established that correcting them reverses the result and do not claim it does. The unconverted-only sensitivity is useful but does not validate the converted numbers. Significance: moderate for C1,C2,C3,C4,C6 if narrowly established, because they organize a consequential clinical/mechanistic question; minor for C5 as a useful re-expression of one already published timing trial and C7 as a coarse methodological inventory. No current claim establishes that a dissociative experience is dispensable in general, that awake dosing has no advantage, or that perioperative treatment should change. A trial isolating timing and measuring experience, masking, pain and sleep would address more of the motivating question.