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An Evidence summary of postoperative pain management in spinal surgery

2023· article· en· W4386172157 on OpenAlex
Tingting XIANG, Su ZHENG, Xiaomin XIE

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChinese Journal of Integrative Nursing · 2023
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePain managementSpinal surgerySurgeryPostoperative painAnesthesia

Abstract

fetched live from OpenAlex

Objective To search and evaluate the evidence of postoperative pain management in spinal surgery so as to promote the standardized management of postoperative pain in patients with spinal surgery. Methods According to the "6S" evidence model, evidence of management of postoperative pain in spinal surgery were systematically searched from BMJ Best Practice, UpToDate, Cochrane library, Joanna Briggs Institute (JBI), National Guideline Clearinghouse(NGC), National Institute for Health and Clinical Excellence(NICE), Scottish Intercollegiate Guidelines Network(SIGN), Guidelines International Network(GIN), Registered Nurses’ Association of Ontario(RNAO), China Medical Network, PubMed, Web of science, Embase, EBSCO, Chinese Biomedical Medicine(CBM), China National Knowledge Infrastructure(CNKI), WanFang Data. Results A total of 10 articles were selected, including 1 clinical decisions, 2 evidence summary, 5 guidelines, 1expert opinion, 1 expert consensus, best evidences were summarized from the 5 aspects of pain evaluation, intervention, monitoring, education and organization. Conclusion This study summarized the best evidence of postoperative pain management in spinal surgery, which provided evidence for clinical application. In the process of evidence transformation, standards should be formulated to regulate the pain management behavior of medical staff in combination with clinical practice, so as to reduce postoperative pain in patients with spinal surgery and improve the quality of nursing (目的 检索并评价脊柱外科术后疼痛管理的相关证据, 以促进脊柱外科术后患者疼痛的规范化管理。方法 按照“6S”证据模型, 系统检索BMJ Best Practice、UpToDate、Cochrane library、Joanna Briggs Institute(JBI)、美国指南网、英国国家临床医学研究所指南网、苏格兰院际间指南网、国际网络指南网、加拿大安大略省注册护士协会网站、中国医脉通指南网、PubMed、Web of science、Embase、Ebsco、中国生物医学文献数据库、中国知网、万方数据库中关于脊柱外科术后疼痛评估管理的相关证据。结果 共纳入文献10篇, 包括临床决策1篇, 证据总结2篇, 指南5篇, 专家意见1篇, 专家共识1篇, 从疼痛评估、干预、监测、教育以及组织5个方面汇总最佳证据。结论 脊柱外科术后疼痛管理的证据总结可为临床应用提供循证依据, 在证据转化过程中应结合临床实际制定标准规范医护人员的疼痛管理行为, 降低脊柱外科术后患者疼痛, 提高护理质量。)

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.360
Teacher spread0.324 · 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