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Record W2173388046 · doi:10.1055/s-2001-14539

Natural History of Venous Thromboembolism

2001· review· en· W2173388046 on OpenAlexaff
Clive Kearon

Bibliographic record

VenueSeminars in Vascular Medicine · 2001
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsJuravinski HospitalHamilton General Hospital
Fundersnot available
KeywordsMedicinePulmonary embolismDeep veinThrombosisCardiologyHyperhomocysteinemiaInternal medicineVenous thrombosisAntiphospholipid syndromeNatural historyVenous thromboembolismSurgeryRisk factor

Abstract

fetched live from OpenAlex

Most deep vein thromboses (DVTs) start in the calf; however, thrombi that remain confined to the calf rarely cause leg symptoms or are associated with symptomatic pulmonary embolism (PE). The probability that calf DVT will extend to involve the proximal veins, and subsequently cause PE, increases with the severity of the initiating prothrombotic stimulus and if this stimulus persists. Although acute venous thromboembolism (VTE) usually presents with either leg or pulmonary symptoms, most patients have thrombosis at both sites at the time of diagnosis. Treated proximal DVTs resolve slowly, and half of patients still have detectable thrombi after a year. About 10% of patients with symptomatic DVT develop severe postthrombotic syndrome within 5 years. This is more likely to occur if there has been an ipsilateral recurrent DVT. About 10% of PEs are rapidly fatal. Of PEs that are diagnosed before death, about 50% are associated right ventricular dysfunction, a finding that is associated with a high short-term mortality. There is about 50% resolution of PE after 1 month of treatment, and perfusion eventually returns to normal in two thirds of patients. After a course of treatment, the risk of recurrent thrombosis is higher in patients without a reversible risk factor and in those with certain biochemical abnormalities, including antiphospholipid antibodies, hyperhomocysteinemia, and homozygous factor V Leiden.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.035
GPT teacher head0.318
Teacher spread0.283 · 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 designNot applicable
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

Citations48
Published2001
Admission routes1
Has abstractyes

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