ABO blood group is not a predictive factor for the amount of early opioid consumption in postanesthesia care unit: a prospective cohort study in 3,316 patients

Nimmaanrat, Sasikaan; Geater, Alan; Plunsangkate, Prae; Saewong, Laortip; Karnjanawanichkul, Orarat; Chanchayanon, Thavat; Pattaravit, Ngamjit

doi:10.1186/s12871-022-01583-y

Cited by 1 publication

(2 citation statements)

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“…Twelve studies (63%) included variables on their DAG with a temporal element. For instance, variables with relevant time dimensions such as ‘preoperative use of gabapentin’ [ 19 ].…”

Section: Resultsmentioning

confidence: 99%

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Directed acyclic graphs in perioperative observational research–A systematic review and critique against best practice recommendations

et al. 2023

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The Directed Acyclic Graph (DAG) is a graph representing causal pathways for informing the conduct of an observational study. The use of DAGs allows transparent communication of a causal model between researchers and can prevent over-adjustment biases when conducting causal inference, permitting greater confidence and transparency in reported causal estimates. In the era of ‘big data’ and increasing number of observational studies, the role of the DAG is becoming more important. Recent best-practice guidance for constructing a DAG with reference to the literature has been published in the ‘Evidence synthesis for constructing DAGs’ (ESC-DAG) protocol. We aimed to assess adherence to these principles for DAGs constructed within perioperative literature. Following registration on the International Prospective Register of Systematic Reviews (PROSPERO) and with adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting framework for systematic reviews, we searched the Excerpta Medica dataBASE (Embase), the Medical Literature Analysis and Retrieval System Online (MEDLINE) and Cochrane databases for perioperative observational research incorporating a DAG. Nineteen studies were included in the final synthesis. No studies demonstrated any evidence of following the mapping stage of the protocol. Fifteen (79%) fulfilled over half of the translation and integration one stages of the protocol. Adherence with one stage did not guarantee fulfilment of the other. Two studies (11%) undertook the integration two stage. Unmeasured variables were handled inconsistently between studies. Only three (16%) studies included unmeasured variables within their DAG and acknowledged their implication within the main text. Overall, DAGs that were constructed for use in perioperative observational literature did not consistently adhere to best practice, potentially limiting the benefits of subsequent causal inference. Further work should focus on exploring reasons for this deviation and increasing methodological transparency around DAG construction.

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“…Twelve studies (63%) included variables on their DAG with a temporal element. For instance, variables with relevant time dimensions such as ‘preoperative use of gabapentin’ [ 19 ].…”

Section: Resultsmentioning

confidence: 99%

“…After this round of full text screening, nineteen studies were included in the final review. Five of these nineteen studies [16,17,[19][20][21] were identified during the updated search in June 2022. References of the final nineteen studies were also screened for relevant studies.…”

Section: Characteristics Of the Final Studies Includedmentioning

confidence: 99%