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Record W4303411284 · doi:10.1093/bjsopen/zrac129

Global practice variation in pharmacologicthromboprophylaxis for general and gynaecologicalsurgery: systematic review

2022· article· en· W4303411284 on OpenAlexaff
Negar Pourjamal, Lauri I. Lavikainen, Alex L E Halme, Rufus Cartwright, Kaisa Ahopelto, Gordon Guyatt, Kari A.O. Tikkinen

Bibliographic record

VenueBJS Open · 2022
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster UniversityImpact
FundersSigrid Juséliuksen SäätiöAcademy of Finland
KeywordsVariation (astronomy)Physics

Abstract

fetched live from OpenAlex

Dear Editor Venous thromboembolism (VTE) and bleeding are serious complications of surgery. Pharmacological prophylaxis decreases VTE but increases bleeding1. The decision to use thromboprophylaxis requires balancing decreasing VTE versus increased risk of bleeding2. Expert recommendations regarding VTE prophylaxis in surgery vary3, but the extent of practice variation remains uncertain. We performed comprehensive literature searches in Embase, MEDLINE, Web of Science, and Google Scholar for observational studies with procedure-specific information on VTE and/or bleeding for 16 general abdominal and 22 gynaecological surgery procedures until November 20203 (PROSPERO CRD42021234119) (Supplementary material). Two reviewers independently assessed eligibility and extracted data using standardized, piloted data forms, guided by written instructions. We included surgical procedures that had been investigated in at least five studies, with the majority of participants enrolled from 2000 onwards (Supplementary material). For each study, we extracted data on the proportion of patients receiving pharmacological prophylaxis, and the duration of prophylaxis. For each procedure, we calculated the proportion of discretionary use of pharmacological prophylaxis, and the mean or median duration of prophylaxis. Of 32 523 potentially relevant titles and abstracts, 4082 warranted full-text review, of which 50 reports addressing five general and two gynaecological procedures were eligible: laparoscopic cholecystectomy (7 studies), open gastric bypass (7), open groin hernia repair (6), open liver resection (6), open ovarian cancer surgery (9), open radical hysterectomy (5), and laparoscopic sleeve gastrectomy (10) (Figs. S1 and S2 and Table S1). Table S2 presents study characteristics. All 50 studies reported whether prophylaxis was used; 29 of 46 (63 per cent) studies in which prophylaxis was used, also reported the duration of use. Studies consistently reported high rates of prophylaxis in open gastric bypass, laparoscopic sleeve gastrectomy, open radical hysterectomy (one exception), and open ovarian cancer surgery (one exception). The duration of pharmacological prophylaxis varied between 4 and 20 days after open gastric bypass, between 1 and 35 days after laparoscopic sleeve gastrectomy, between 4 and 12 days after open radical hysterectomy, and between 7 and 28 days after open ovarian cancer surgery (Fig. 1). Proportion (in percentages) of patients with reported use of pharmacological prophylaxis Depending on the study, the mean or median duration of pharmacological prophylaxis (in days) for those who received any is noted on each bar (if reported in the article). The proportion receiving prophylaxis varied widely in laparoscopic cholecystectomy, open groin hernia repair, and open liver resection. The duration of pharmacological prophylaxis varied between 2 and 3 days after laparoscopic cholecystectomy, between 6 and 27 days after open liver resection, and only one study reported the duration for hernia repair (Fig. 1). Studies of laparoscopic cholecystectomy, open hernia repair, and open liver resection reported large variation in the use of pharmacological prophylaxis (Fig. 1). Studies in cancer and obesity surgery consistently reported high rates of use of pharmacological prophylaxis, but with substantial variation in the duration of prophylaxis. Earlier studies have addressed pharmacological prophylaxis in one or more centres4,5, but our study examines variation in practice across studies. The other strengths of this review include a thorough search of contemporary studies, application of explicit eligibility criteria, and standardized piloted data forms for data collection. This article has limitations. Although we screened many potential studies, only a small proportion proved eligible (1.4 per cent of full texts screened). These 50 studies (of which 15 had low risk of bias, 19 had moderate risk, and 16 had high risk of bias; Tables S3 and S4) published between 2000 and 2020 represent seven procedures each with 5–10 studies. We identified substantial practice variation, within and between countries, in the use of pharmacological prophylaxis in most types of benign surgery, and in the duration of prophylaxis after cancer surgery. Rationalization of practice will require evidence that provides a better understanding of procedure-specific risks of VTE and bleeding as well as creation of procedure-specific, evidence-based guidelines for thromboprophylaxis. Rationalization of current practice would decrease both under- and overuse of thromboprophylaxis improving patient outcomes. This study was supported by the Academy of Finland (309387 and 340957), Sigrid Jusélius Foundation and Competitive Research Funding of the Helsinki University Hospital (TYH2019321, TYH2020248, and TYH2022330). The sponsors had no role in the analysis and interpretation of the data or the manuscript preparation, review, or approval. The authors would like to thank ROTBIGGS Investigators (Appendix S1) for their efforts in screening titles, abstracts, and/or full texts for eligibility. N.P. and L.I.L. share first authorship. The authors declare no conflict of interest. R.C. and K.A.O.T. are panel members of the European Society of Anaesthesiology and Intensive Care Task Force for the European Guidelines on Venous Thromboembolism. Supplementary material is available at BJS Open online. The corresponding author is the custodian of the data and will provide access to data on request.

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)0.017
metaresearch head score (Gemma)0.108
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.108
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.012
Bibliometrics0.0050.008
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.032
GPT teacher head0.370
Teacher spread0.339 · 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 designSystematic review
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".

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Citations8
Published2022
Admission routes1
Has abstractno

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