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Record W2804027120 · doi:10.19070/2470-4520-160007

Injected Versus Oral Deep Vein Thrombosis Prophylactic Therapy: A Patient Satisfaction Study

2016· article· en· W2804027120 on OpenAlexaff
Dan Banaszek, Michael Pickell, Wood GC, A Campbell

Bibliographic record

VenueInternational Journal of Bone and Rheumatology Research · 2016
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsMedicineChemoprophylaxisDeep veinRisk stratificationThrombosisIntensive care medicineProphylactic treatmentSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Despite much information on different chemoprophylaxis regimens, there remains a paucity of literature with respect to risk stratification and appropriate patient selection for the appropriate AbstractDeep vein thrombosis (DVT) is a serious complication of total knee replacement (TKA).While the need for post op prophylaxis is accepted, controversy exists as to which regimen(s) to use.ASA use has seen resurgence due to its efficacy, safety profile, and easy administration.To date no study has evaluated patient satisfaction and compliance with ASA chemoprophylaxis after TKA.Ninety-six TKA patients were surveyed after randomization to receive either oral ASA or injected low molecular weight heparin.Satisfaction was significantly greater in the ASA group.Confidence in treatment was equivalent between the groups.Patient satisfaction withanticoagulation after TKA should not be overlooked.We have demonstrated increased satisfaction with ASA treatment without affecting perceptions of efficacy.Our findings should be considered when prescribing postoperative prophylaxis

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)0.003
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.079
GPT teacher head0.404
Teacher spread0.325 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2016
Admission routes1
Has abstractyes

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