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Record W2156641747 · doi:10.1001/jama.295.5.536

Does the Clinical Examination Predict Lower Extremity Peripheral Arterial Disease?

2006· review· en· W2156641747 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA · 2006
Typereview
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicinePhysical examinationClaudicationConfidence intervalAsymptomaticAnkleIntermittent claudicationPeripheralRadiologyArterial diseaseSurgeryVascular diseaseInternal medicine

Abstract

fetched live from OpenAlex

CONTEXT: Lower extremity peripheral arterial disease (PAD) is common and associated with significant increases in morbidity and mortality. Physicians typically depend on the clinical examination to identify patients who need further diagnostic testing. OBJECTIVE: To systematically review the accuracy and precision of the clinical examination for PAD. DATA SOURCES, STUDY SELECTION, AND DATA EXTRACTION: MEDLINE (January 1966 to March 2005) and Cochrane databases were searched for articles on the diagnosis of PAD based on physical examination published in the English language. Included studies compared an element of the history or physical examination with a reference standard of ankle-brachial index, duplex sonography, or angiogram. Seventeen of the 51 potential articles identified met inclusion criteria. Two of the authors independently extracted data, performed quality review, and used consensus to resolve any discrepancies. DATA SYNTHESIS: For asymptomatic patients, the most useful clinical findings to diagnose PAD are the presence of claudication (likelihood ratio [LR], 3.30; 95% confidence interval [CI], 2.30-4.80), femoral bruit (LR, 4.80; 95% CI, 2.40-9.50), or any pulse abnormality (LR, 3.10; 95% CI, 1.40-6.60). While none of the clinical examination features help to lower the likelihood of any degree of PAD, the absence of claudication or the presence of normal pulses decreases the likelihood of moderate to severe disease. When considering patients who are symptomatic with leg complaints, the most useful clinical findings are the presence of cool skin (LR, 5.90; 95% CI, 4.10-8.60), the presence of at least 1 bruit (LR, 5.60; 95% CI, 4.70-6.70), or any palpable pulse abnormality (LR, 4.70; 95% CI, 2.20-9.90). The absence of any bruits (iliac, femoral, or popliteal) (LR, 0.39; 95% CI, 0.34-0.45) or pulse abnormality (LR, 0.38; 95% CI, 0.23-0.64) reduces the likelihood of PAD. Combinations of physical examination findings do not increase the likelihood of PAD beyond that of individual clinical findings. However, when combinations of clinical findings are all normal, the likelihood of disease is lower than when individual symptoms or signs are normal. A PAD scoring system, which includes auscultation of arterial components by handheld Doppler, provides greater diagnostic accuracy. CONCLUSIONS: Clinical examination findings must be used in the context of the pretest probability because they are not independently sufficient to include or exclude a diagnosis of PAD with certainty. The PAD screening score using the hand-held Doppler has the greatest diagnostic accuracy.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.349
Teacher spread0.306 · 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