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Record W2167148707 · doi:10.1177/1076029610385674

Safety and Efficacy of Thrombin-JMI: A Multidisciplinary Expert Group Consensus

2010· article· en· W2167148707 on OpenAlex
Mohit Bhandari, Frederick A. Ofosu, Nigel Mackman, Craig M. Jackson, Cataldo Doria, John Eric Humphries, Sateesh Babu, Thomas L. Ortel, David H. Van Thiel, Jeanine M. Walenga, Rakesh Wahi, Kevin Teoh, Jawed Fareed

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

VenueClinical and Applied Thrombosis/Hemostasis · 2010
Typearticle
Languageen
FieldMedicine
TopicHemostasis and retained surgical items
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineImmunogenicityAdverse effectDelphi methodIntensive care medicineInternal medicineAntibodyImmunologyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: The use of bovine thrombin has been an effective approach to aiding hemostasis during surgery for over 60 years. Its use has a reported association with the development of antibodies to coagulation factors with limited evidence to the clinical significance. METHODS: The Collaborative Delphi survey methodology was used to develop a consensus on specified topic areas from a panel of 12 surgeons/scientists who have had experience with topical thrombins; it consisted of 2 rounds of a Web-based survey and a final live discussion. RESULTS: Some key issues that reached consensus included: bovine, human plasma-derived and recombinant human thrombin are equally effective hemostatic agents with similar adverse event rates, and immunogenicity to a topical protein rarely translate into adverse events. CONCLUSIONS: Although a risk of immunogenicity is associated with all topical thrombins, no conclusive clinical evidence is available that these antibodies have any significant effect on short- and long-term clinical consequences.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.055
GPT teacher head0.368
Teacher spread0.313 · 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