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Record W3122332337 · doi:10.1111/anae.15400

The use of intravenous lidocaine for postoperative pain and recovery

2021· article· en· W3122332337 on OpenAlexaboutno aff
Julia Dubowitz, Andrew J. Toner, Bernhard Riedel, Tomás Corcoran

Bibliographic record

VenueAnaesthesia · 2021
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLidocaineAnesthesiaIntravenous regional anesthesiaPain managementPostoperative painSurgery

Abstract

fetched live from OpenAlex

As clinicians and research leads for two relevant studies, we read with interest the recently published recommendations on the use of intravenous lidocaine for postoperative pain and recovery [1] and the accompanying editorial [2]. While we agree wholeheartedly with the axiom ‘primum non nocere’ and that intravenous lidocaine must be administered in a safe and controlled manner in the peri-operative setting, we wish to address some concerns regarding the methodology employed in the development of the document and the potential impact on clinical practice and research. Firstly, the recommendations are labelled as ‘international consensus guidelines’. ‘Consensus’ suggests general agreement with the content of the guidelines; however, this document was written by a panel of seven members from the UK and a single Canadian co-author. This does not constitute 'consensus' and is far from 'international consensus’ [3]. The WHO guidelines state that potential members of a guideline development group are identified by the steering group and are selected to encompass the technical skills, diverse perspectives and geographic representation needed. A group of 10–20 is usually feasible and effective, although some guideline development groups are larger if the scope of the guideline is broad. Furthermore, recommendations on the development of consensus statements include formal and transparent methodology for derivation of guidelines, and peer review [4]. The document does not provide details of the processes employed in the formation of the panel, nor explicit detail as to the methodology used to generate the recommendations in the document, nor evidence of peer review as part of the process. To avoid confusion and, perhaps misleadingly, deterring anaesthetists from using intravenous lidocaine in appropriate and safe settings, these recommendations would be better reclassified as an opinion piece or systematic review. While we understand and respect the editorial independence of the journal, we believe that the journal may have erred in permitting the use of this over-reaching title. This gives the reader the impression of authority of the content of the article, which we believe not to be the case. Secondly, the document highlights the enduring uncertainty surrounding the dosing strategy of peri-operative intravenous lidocaine and the balance of efficacy and safety in diverse clinical settings. Surely this can now only be addressed by the conduct of large, reliable, multi-centre randomised controlled trials, yet the message of this 'consensus' document may deter investigators from performing such trials. We are aware of four large clinical trials, each recruiting over 500 patients, that are either underway or imminent (Table 1). The dosing strategies in these trials take into account patient weight, the impact of anaesthesia on hepatic blood flow, variations in protein binding, exposure to interacting medications and non-linear pharmacokinetics associated with prolonged infusion [5]. By contrast, and in our opinion, the 'consensus' statement places too much emphasis on absolute upper dose limits for the bolus and infusion phases irrespective of the clinical circumstances. Indeed, data from studies summarised by the authors of these consensus guidelines in their Table 1 and Figure 1 suggest little difference between reported mean lidocaine plasma levels during infusion rates between 1.5 and 3.0 mg.kg-1.h-1, with < 5 μg.ml-1 (and upper range 3SD [95%CI] < 10 μg.ml-1) in all but one patient [6]. Lastly, an important omission from the document is whether lidocaine infusions are being used exclusively in the operating theatre environment or are being continued into the postoperative period. When used intra-operatively, the attending anaesthetist takes responsibility for the safety of the patient during a lidocaine infusion, as they do for all other drugs administered, and the risks of serious adverse events are mitigated by a high level of clinician monitoring and responsiveness. It is appropriate that the 'consensus' statement and the linked editorial have highlighted that individual anaesthetists using lidocaine off-license in this fashion without specific consent are fully accountable, and it is likely that many will continue to do so. In conclusion, lidocaine is a drug with properties (anti-inflammatory, analgesic, anti-neoplastic) that warrant further phase-3 trials. Such studies are underway, or imminent, and will provide reliable information on the safety and efficacy of lidocaine infusions in patients undergoing colorectal, lung and breast cancer surgery. If these studies report efficacy with acceptable safety, then it is possible that the licensed indications for intravenous lidocaine will expand. We do not believe that the document warrants the label ‘consensus statement’ and we do not believe that all the assertions within the document are supported by evidence. The impact of such erroneous assertions may adversely impact much needed clinical trials. Safety is, of course, paramount and this initiative by the authors to raise awareness of the risks of lidocaine infusions is laudable.

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)0.023
metaresearch head score (Gemma)0.124
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.124
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0010.004
Scholarly communication0.0060.006
Open science0.0030.002
Research integrity0.0110.018
Insufficient payload (model declined to judge)0.0070.005

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 head0.029
GPT teacher head0.250
Teacher spread0.221 · 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 designObservational
Domainnot available
GenreReview

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".

Quick stats

Citations15
Published2021
Admission routes1
Has abstractyes

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