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Record W4310920012 · doi:10.1136/bmjopen-2022-066903

Endovascular revascularisation versus surgical revascularisation in patients with lower limb atherosclerosis obliterans: a protocol for systematic review and meta-analysis with trial sequential analysis and meta-regression

2022· article· en· W4310920012 on OpenAlexaboutno aff
Qun Huang, Hongxin Shu, Chuanfei Zeng, Peng Qiu, Xiaowei Xiong, Xinwu Lu

Bibliographic record

VenueBMJ Open · 2022
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsnot available
FundersSchool of Medicine, Shanghai Jiao Tong UniversityShanghai Hospital Development CenterShanghai Jiao Tong UniversityShanghai Municipal Health BureauNational Natural Science Foundation of China
KeywordsMedicineMeta-analysisRandomized controlled trialCochrane LibraryMEDLINECohortCohort studyAmputationSystematic reviewProtocol (science)Physical therapyCritical limb ischemiaSurgeryInternal medicineRevascularizationPathologyAlternative medicineMyocardial infarction

Abstract

fetched live from OpenAlex

INTRODUCTION: The revascularisation strategy for lower limb atherosclerosis obliterans (ASO) remains controversial. In this meta-analysis, we will summarise existing evidence to compare the long-term and short-term outcomes between endovascular revascularisation and open revascularisation for patients with ASO. METHODS: Relevant randomised controlled trials (RCTs) and cohort studies are included from the following databases: MEDLINE/PubMed, Embase and the Cochrane Library. The last search time is 1 August 2022. Two reviewers will independently identify RCTs and cohort studies according to eligibility and exclusion criteria. The risk of bias of included cohort studies, and RCTs are assessed with the Newcastle-Ottawa Scale, Methodological Index of Non-randomized Studies and Cochrane Collaboration's tool, respectively. The primary outcomes include overall survival, amputation-free survival and 30-day mortality. TSA Beta Software V.0.9.5.10 is used to perform the trial sequential analysis for primary outcomes. The Grades of Recommendations, Assessment, Development and Evaluation (GRADE) tool will be used to assess the level of evidence for outcome from RCTs. Stata V.17.0 software is used to pool primary outcomes. ETHICS AND DISSEMINATION: This study will be disseminated through peer-reviewed journals or conference reports. No ethical approval requirements are required because the results presented in this study are conducted based on published data. PROSPERO REGISTRATION NUMBER: CRD42022359591.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.135
GPT teacher head0.401
Teacher spread0.266 · 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 teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreProtocol

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

Citations4
Published2022
Admission routes1
Has abstractyes

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