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Record W2977852551 · doi:10.1097/corr.0000000000000981

Cochrane in CORR®: Perioperative Intravenous Ketamine for Acute Postoperative Pain in Adults

2019· letter· en· W2977852551 on OpenAlexaff
Seper Ekhtiari, Mohit Bhandari

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2019
Typeletter
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineKetamineOpioidAnalgesicPerioperativeNarcoticAnesthesiaPlaceboMedical prescriptionRandomized controlled trialSurgeryInternal medicineAlternative medicinePharmacology

Abstract

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Importance of the Topic The number of deaths in the United States from opioid overdose, and the number of opioid prescriptions, both have quadrupled since 2000 [3, 4]. After family doctors and internists, orthopaedic surgeons are the third-highest prescribers of opioids among physicians in the United States [9]. The vast majority of surgical patients receive opioids in the peri-operative period, including many for the first time in their lives [4], and it is during this time when patients are at risk for developing opioid dependence. Thus, the concept of multimodal and opioid-reduced or opioid-free peri-operative pain management has gained prominence [8]. In fact, a recent editorial in Clinical Orthopaedics and Related Research® offered modest approaches to opioid-reduced pain management that orthopaedic surgeons should consider including writing smaller prescriptions for shorter periods of time, reassessing whether to use long-acting opioid medications in narcotic-naïve patients, and setting realistic expectations about pain after surgery [7]. Several potential alternatives to opioids have been proposed and investigated, such as ketamine. Ketamine is a medication that provides analgesic, amnestic, and dissociative effects in a dose-dependent manner [11]. There are, however, safety concerns with ketamine including central nervous system symptoms such as hallucinations [10]. In this Cochrane review, the authors investigate the efficacy and safety of ketamine as an adjunct for post-operative pain in adult patients. The authors included 130 blinded, randomized controlled trials (8341 participants) comparing ketamine to either placebo, an opioid medication, or a non-steroidal anti-inflammatory. Overall, the authors found that peri-operative ketamine reduces pain, nausea, vomiting, and the use of opioids after surgery. Upon Closer Inspection The results of particular interest to orthopaedic surgeons were focused mostly on patients undergoing “major orthopaedic surgery,” although arthroscopic surgeries were also included. Overall, pain and opioid consumption were lower in patients receiving ketamine compared to controls in the first 48 hours, but the effect sizes were small and unlikely to be clinically relevant. Specifically, patients had slight reductions in opioid consumption in the first 24 to 48 hours after surgery. Patients undergoing major orthopaedic surgery who received ketamine had a decrease in opioid consumption of roughly 0.5-1mg/hr over this period compared to controls. For opioid-naïve patients in the peri-operative period, each additional week of opioid use, or doses over 100 mg oral morphine equivalents (OMEs)/day are strong predictors of opioid misuse [1]. Thus, this small reduction in consumption is unlikely to have an impact on patient-important endpoints such as misuse or overdose. Similarly, pain scores on the Visual Analogue Scale (VAS) were reduced in the ketamine groups compared to controls in the first 48 hours. Effect sizes ranged from 1 mm to 7 mm on a 100 mm scale. The minimal clinically important difference (MCID) for acute post-operative pain on the VAS has been established at 10 mm to 20 mm [9]. Thus, none of the changes reached even the lower end of the MCID. These studies all had small effect sizes—so small that none could reasonably be considered clinically important differences—and the wide 95% confidence intervals (CIs), which suggest imprecision, make it even more difficult to use these data to justify the widespread use of ketamine [5]. There are a number of safety concerns with ketamine, including hallucinations, dizziness, drowsiness, nightmares, emergence phenomena, and perceptual disturbances [10]. Given the small sample sizes for the vast majority of studies (mean sample size per study = 64 patients), it is unlikely even with pooling data from such a large total pool of participants, that this meta-analysis could substantiate a claim that ketamine is safe for widespread use [6]. This is an important point when interpreting data from any meta-analysis. Even when randomized controlled trials are powered appropriately, which is not always the case, most are powered to detect a difference in the primary outcome (that generally focuses on efficacy), and adverse events are often collected as a secondary outcome. Given that most novel interventions have relatively rare adverse event rates (hence, they are ethical to study via a randomized controlled trial), few actually have an adequate sample size to detect a difference in safety between the two arms. For this reason, safety concerns often do not become apparent in drug trials until Phase 3, Phase 4 (post-approval), or post-market stages [2]. Thus, small trials are unlikely to capture adverse events, and pooling results from many small trials may provide a falsely low adverse event rate based on a large sample size. On the surface, this can provide false reassurance regarding the safety of the intervention. Finally, given the inclusion of a diverse set of surgical procedures (ranging from diagnostic laparoscopy and arthroscopy to major abdominal surgery and total joint arthroplasty), it is difficult to determine whether ketamine is safer or more effective for certain surgical procedures compared to others. Similarly, with a mean age of 48 years in patients who received ketamine, it is unclear how these findings apply to older patients given their greater predisposition towards cognitive impairment and delirium. Take-home Messages This methodologically sound review, which includes a large number of studies and participants, comes at a critical time because of the ongoing opioid crisis. Overall, the data on the use of ketamine in orthopaedic surgery presented in this review does not show a level of efficacy to support its widespread use, and its safety profile remains unclear. Ketamine may play a role in the peri-operative analgesic management of particular patient populations, such as those with or at high risk for opioid dependence. Still, it is difficult to know how to apply these findings, particularly to a specific surgical specialty such as orthopaedic surgery. Most of the pooled results from orthopaedic surgical trials reveal small effect sizes that do not reach MCID, have wide CIs, and are based on a few small studies. This review should be interpreted with caution with regards to the benefits and safety of ketamine in orthopaedic surgery. Large randomized controlled trials that are limited to similar types of surgery like total joint arthroplasty, and studies assessing special populations discussed above, are needed to determine the direction, magnitude, and clinical importance of the effect of ketamine as a peri-operative analgesic. In particular, larger data sets, such as those gleaned from Phase 3, Phase 4, and post-market trials would provide a more-comprehensive view of the risks and safety profile of ketamine in this context.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0540.009

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.

Opus teacher head0.048
GPT teacher head0.424
Teacher spread0.376 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations10
Published2019
Admission routes1
Has abstractyes

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