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Record W4414169258 · doi:10.1001/jama.2025.15222

Superficial Vein Thrombosis

2025· article· en· W4414169258 on OpenAlexaff
Gregory Piazza, Darsiya Krishnathasan, Nada Hamade, Francisco Ujueta, Giovanni Scimeca, Marcos D. Ortiz-Rios, Bridget McGonagle, Jean-Philippe Galanaud, David Jiménez, Manuel Monreal, John Fanikos, Anahita Dua, Leben Tefera, Raghu Kolluri, Sahil A. Parikh, Walter Ageno, Samuel Z. Goldhaber, Jeffrey I. Weitz, Lisa K. Moores, I. Quéré, Behnood Bikdeli

Bibliographic record

VenueJAMA · 2025
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsThrombosis and Atherosclerosis Research InstituteHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsFondaparinuxRivaroxabanThrombosisDeep veinSuperficial veinCord

Abstract

fetched live from OpenAlex

Importance: Superficial vein thrombosis (SuVT) is characterized by thrombus in the superficial veins, typically in the lower or upper extremities, and has an estimated annual incidence of 64 to 131 per 100 000 person-years. Approximately 10% of patients with SuVT progress to deep vein thrombosis (DVT) or pulmonary embolism (PE). Observations: Endothelial injury (caused by infection or intravenous devices), venous stasis (such as from chronic venous insufficiency or prolonged immobility), and hypercoagulability (due to cancer or pregnancy) are pathophysiologic factors associated with SuVT. Clinical risk factors for lower extremity SuVT are similar to those of DVT and PE and include pregnancy, varicose veins, and active cancer. The incidence of SuVT is greater in females than males (78-167 compared with 49-116 per 100 000 person-years). In contrast with lower extremity SuVT, upper extremity SuVT is primarily caused by indwelling intravenous catheters. Patients typically present with a tender, red, palpable cord under the skin in the upper or lower extremity. D-dimer testing has a sensitivity of approximately 48% to 74.3% and, therefore, is not reliable for excluding SuVT. Approximately 25% of patients with lower extremity SuVT present with concomitant DVT, likely because risk factors for SuVT and DVT are similar and because SuVT can extend into deep veins. In people without classic symptoms and signs of SuVT, ultrasonography can establish the presence and extent of the thrombus. Management may include elastic compression stockings and nonsteroidal anti-inflammatory drugs. For patients with SuVTs that are at least 5 cm long or those with persistent or worsening symptoms despite several days of conservative therapy, treatment includes anticoagulation with fondaparinux 2.5 mg. Alternative anticoagulation treatment includes rivaroxaban 10 mg once daily and low-molecular-weight heparins (eg, enoxaparin 40 mg once daily), which may reduce subsequent venous thromboembolic events. SuVT located within 3 cm of a deep vein should be treated with therapeutic doses of anticoagulation such as direct oral anticoagulants. Conclusions and Relevance: SuVT typically presents as a tender, painful, palpable cord under the skin. Management may include elastic compression stockings, nonsteroidal anti-inflammatory drugs, and systemic anticoagulation with fondaparinux 2.5 mg or rivaroxaban 10 mg. SuVTs within 3 cm of a deep vein should be treated with therapeutic dose anticoagulation.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0790.035

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 head0.017
GPT teacher head0.299
Teacher spread0.282 · 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 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

Citations16
Published2025
Admission routes1
Has abstractyes

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