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Record W2056415959 · doi:10.1136/ebm.8.3.77

Screening for abdominal aortic aneurysm reduced death from AAA in older men

2003· article· en· W2056415959 on OpenAlexaff
Claudio S. Cinà

Bibliographic record

VenueEvidence-Based Medicine · 2003
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCardiorespiratory fitnessMedicineAerobic exerciseLiver transplantationPhysical therapyAnaerobic exerciseInternal medicineTransplantationCardiology

Abstract

fetched live from OpenAlex

(2002) Lancet 360, 1531. The Multicentre Aneurysm Screening Study Group. . The Multicentre Aneurysm Screening Study (MASS) into the effect of abdominal aortic aneurysm screening on mortality in men: a randomised controlled trial. . ; . : . –9 . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In older men, does ultrasonographic screening for abdominal aortic aneurysm (AAA) reduce death from AAA? Randomised (allocation concealed*), blinded (data collectors and outcome assessors),* controlled trial with mean 4.1 year follow up (Multicentre Aneurysm Screening Study). 4 screening and 4 academic centres in England, UK. 67 800 men who were 65–74 years of age (mean age 69 y) and were identified from family physician and Health Authority patient lists. Family physicians excluded patients (without knowledge of randomisation) they considered unfit to be screened, including those with terminal illness, other serious health problems, or previous AAA repair. Mortality follow up was 99%. Men were allocated to be invited (n=33 839) or not invited (n=33 961) for screening. The invited group received by post an invitation on the family physician’s letterhead, an information booklet, and a … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DAshton%26rft.auinit1%253DH.%2BA.%26rft.volume%253D360%26rft.issue%253D9345%26rft.spage%253D1531%26rft.epage%253D1539%26rft.atitle%253DThe%2BMulticentre%2BAneurysm%2BScreening%2BStudy%2B%2528MASS%2529%2Binto%2Bthe%2Beffect%2Bof%2Babdominal%2Baortic%2Baneurysm%2Bscreening%2Bon%2Bmortality%2Bin%2Bmen%253A%2Ba%2Brandomised%2Bcontrolled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252802%252911522-4%26rft_id%253Dinfo%253Apmid%252F12443589%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/S0140-6736(02)11522-4&link_type=DOI [3]: /lookup/external-ref?access_num=12443589&link_type=MED&atom=%2Febmed%2F8%2F3%2F77.atom [4]: /lookup/external-ref?access_num=000179292400007&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.079
GPT teacher head0.338
Teacher spread0.259 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical · Commentary

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
Published2003
Admission routes1
Has abstractyes

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