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Record W2559649081 · doi:10.1136/bmjopen-2016-011898

Chronic obstructive pulmonary disease and the risk of stroke: a systematic review protocol

2016· review· en· W2559649081 on OpenAlexaboutno aff
Ann Morgan, Chetna Sharma, Kieran Rothnie, Jennifer K Quint

Bibliographic record

VenueBMJ Open · 2016
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
FundersBritish Lung Foundation
KeywordsMedicineData extractionCOPDObservational studyStroke (engine)PopulationMEDLINEMeta-analysisCohort studySystematic reviewPhysical therapyIntensive care medicineInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

INTRODUCTION: There is good evidence to suggest that chronic obstructive pulmonary disease (COPD) increases the risk of ischaemic heart disease, in particular myocardial infarction (MI). The relationship between stroke and COPD, however, is not as well established, and studies conducted to date have generated conflicting results. METHODS AND ANALYSIS: MEDLINE and Embase will be searched for relevant articles using a prespecified search strategy. We will target observational studies conducted in the general population that employ either a longitudinal cohort or case-control study design to estimate ORs, HRs or incident rate ratios for the association between COPD and a subsequent first stroke. Both stages of screening, title and abstract followed by full-text screening, will be conducted independently by two reviewers. The Population, Exposure, Comparator, Outcomes, Study characteristics (PECOS) framework will be used to systematise the process of extracting data from those studies meeting our selection criteria. Study quality will be assessed using an adapted version of the Newcastle-Ottawa risk of bias tool. The data extraction and the risk of bias assessment will also be conducted in duplicate. A meta-analysis will be considered if there is sufficient homogeneity across selected studies or groups of studies. If a meta-analysis is not justified, a narrative synthesis will be conducted. Selected Grading of Recommendations, Assessment, Development and Evaluation (GRADE) criteria will be used to assess the quality of the cumulative evidence. DISSEMINATION: Currently ranking second and fourth in the list of global causes of mortality, respectively, stroke and COPD are important non-communicable diseases. With this review, we hope to clarify some of the current uncertainty that surrounds the COPD-stroke relationship and in turn improve understanding of the nature of the role of COPD in comorbid stroke. PROSPERO REGISTRATION NUMBER: CRD42016035932.

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)0.068
metaresearch head score (Gemma)0.059
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.102
Threshold uncertainty score0.360

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.059
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0170.015
Bibliometrics0.0120.012
Science and technology studies0.0040.005
Scholarly communication0.0080.008
Open science0.0060.005
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.1020.014

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 head0.056
GPT teacher head0.429
Teacher spread0.374 · 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
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

Citations8
Published2016
Admission routes1
Has abstractyes

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