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Record W4404838923 · doi:10.7189/jogh.14.04258

All-cause and cardiovascular mortality in dual sensory impairment patients: A meta-analysis of cohort studies

2024· review· en· W4404838923 on OpenAlexaboutno aff
Shuyi Liu, Tao Qin, Don O. Kikkawa, Wei Lü

Bibliographic record

VenueJournal of Global Health · 2024
Typereview
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisCohort studyCohortMEDLINEDual (grammatical number)Cause of deathInternal medicineDiseaseBiology

Abstract

fetched live from OpenAlex

Background: This meta-analysis is to determine the risk of all-cause mortality and cardiovascular mortality of dual sensory impairment (DSI). Methods: Relevant cohort studies were searched in Medline with PubMed, Cochrane Library, and EMBASE databases. The quality of the included studies was assessed based on the Newcastle-Ottawa Quality Assessment Scale (NOS). STATA software (USA) was used to conduct statistical analyses. To determine the source of heterogeneity, subgroup and sensitivity analyses were carried out. Funnel plots and the Egger's test were used for detecting publication bias. Results: = 0%, P < 0.001). Subgroup analyses on sex and territory type revealed that DSI were all associated with an increased risk of all-cause mortality. Conclusions: This study shows that DSI is linked to higher risks of all-cause and cardiovascular mortality, suggesting that DSI should be regarded as an independent mortality risk factor. Physicians treating individuals with DSI should assess its impact on life expectancy. Registration: The protocol was previously registered on the International Prospective Register of Systematic Reviews (PROSPERO) platform (CRD42024527256).

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0160.014
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.197
GPT teacher head0.482
Teacher spread0.285 · 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; both teacher heads agree on what is shown here.

Study designMeta-analysis
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

Citations1
Published2024
Admission routes1
Has abstractyes

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