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不同PICC导管对并发症发生影响的系统评价

2013· article· zh· W7111158565 on OpenAlexaboutno aff

Bibliographic record

VenueThe HKU Scholars Hub (University of Hong Kong) · 2013
Typearticle
Languagezh
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)

Abstract

fetched live from OpenAlex

目的 系统评价不同末端设计、材质、管径的PICC导管对并发症发生率的影响.方法 计算机检索Cochrane图书馆(2012年第3期)、JBI循证护理中心图书馆、MEDLINE、EMbase、中国生物医学文献数据库(CBM)、中国知网(CNKI)数据库(检索时限均从建库至2012年3月),辅以互联网络检索.收集所有讨论不同末端设计、材质、管径的PICC导管对并发症发生率影响的随机对照试验、半随机对照试验、病例对照研究、队列研究.由2名研究员按照纳入和排除标准筛选文献并提取资料,参考Cochrane Handbook及Newcastle-Ottawa Scale的质量评价标准进行质量评价,使用RevMan 5.1软件进行meta分析或仅进行描述性分析.结果 共纳入1项随机对照试验、3项半随机对照试验、1项病例对照研究、5项队列研究,共1996例患者.meta分析结果显示,末端开口导管的导管堵塞发生率较三向瓣膜导管高,合并效应有统计学意义[OR=0.36,95%CI(0.19,0.69),P=0.002].聚氨酯导管并发症发生率较硅胶导管高,合并效应有统计学意义[OR=0.24,95%CI(0.07,0.85),P=0.03].结论 三向瓣膜导管较末端开口导管在减少导管堵塞方面具有优势,使用聚氨酯导管时更应注意导管维护,以减少并发症发生,选择最小内径的导管可减少血栓性静脉炎的发生.

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)0.032
metaresearch head score (Gemma)0.140
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.997
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.140
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0110.011
Science and technology studies0.0030.004
Scholarly communication0.0140.012
Open science0.0020.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0190.004

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 head0.017
GPT teacher head0.203
Teacher spread0.187 · 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.

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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