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Record W7063821998

新辅助化疗与初始肿瘤细胞减灭术治疗晚期卵巢癌疗效的系统评价

2017· article· zh· W7063821998 on OpenAlex

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

VenueLanzhou University Institutional Repository · 2017
Typearticle
Languagezh
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

目的系统评价新辅助化疗与初始肿瘤细胞减灭术在晚期卵巢癌患者中的疗效。方法计算机检索PubMed、 EMbase、Cochrane library、Web of Science、CBM、Google Scholar等数据库,检索时限均从建库至2015年7月,两名研究者依据纳入和排除标准独立筛选文献和提取数据,参照Cochrane系统评价手册5.1.0和NOS(Newcastle-Ottawa Scale)评分分别进行质量评价,并行Meta分析。结果最终纳入3篇高质量随机对照试验(RCT)和4篇前瞻性研究,共2476例患者。对RCT研究进行Meta分析结果显示:新辅助化疗与初始肿瘤细胞减灭术相比,总生存期延长(P<0.001),肿瘤细胞减灭术满意率增高(P<0.001),术后28 d内病死率降低(P=0.002),而无进展生存期(P=0.32),随访6个月(P=0.51)和12个月(P=0.89)的生存质量差异无统计学意义。对前瞻性研究行Meta分析结果显示:新辅助化疗与初始肿瘤细胞减灭术相比,无进展生存期缩短(P<0.001),肿瘤细胞减灭术满意率升高(P<0.001),而手术时间(P=0.84)和住院时间(P=0.23)差异无统计学意义。结论与初始肿瘤细胞减灭术相比,新辅助化疗可延长晚期卵巢癌患者的总生存期,提高肿瘤细胞减灭术满意率,减少术后病死率。此结论尚需更多多中心、高质量的随机对照试验证实。

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0220.001

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 head0.015
GPT teacher head0.233
Teacher spread0.218 · 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