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Record W2926709184 · doi:10.1017/cjn.2018.393

Prognosis of Cerebral Venous Sinus Thrombosis – Author Response

2019· letter· en· W2926709184 on OpenAlexaffvenue
Thomas Jeerakathil, Dustin Anderson, Julie Kromm

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2019
Typeletter
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineCerebral venous sinus thrombosisContent (measure theory)Venous thrombosisThrombosisSurgery

Abstract

fetched live from OpenAlex

We thank Dr Musee and Dr Kumar for their interest in our article and for sharing their own experience with cerebral venous sinus thrombosis (CVST) from a Neurological Intensive Care Unit in Tennessee, in the mid-south of the United States. We also found of interest the contrast in the proportion of patients with pregnancy as the aetiology between our study, the study presented by Dr Musee and Kumar, and the International Study on Cerebral Vein and Dural Sinus Thrombosis (ISCVT). This proportion was lowest in our study (5%), intermediate in the ISCVT (13.8%) and highest in the data from Tennessee (34.1%). When studying conditions as uncommon as CVST, selection bias is a major obstacle including that occurring from referral patterns. This is a challenge for all studies including international registries making it difficult to obtain truly population-based data. Our tertiary care hospital offers comprehensive services including cardiac, surgical, pediatric, transplant, trauma, neurological and neurosurgical, including a neurological intensive care unit. We are the only tertiary care centre and the only comprehensive stroke centre in the entire north of the province therefore have a fixed catchment area. However, we are not an obstetric centre despite having a neonatal intensive care unit. It is conceivable that referral patterns direct women with CVST in the puerperium to one of two other hospitals that offer obstetric services, postpartum care and neurological consultation leading to our low prevalence. The opposite phenomenon could be occurring at your centre in Nashville depending on the obstetric services you offer, the number of obstetric hospitals within your referral base and the availability (or lack thereof) of other hospitals with similar expertise in the region. In regard to the thrombophilia workup we are in agreement, and it is accepted, that some tests are affected by the presence of anticoagulation although the genetic tests are not. Often, a stroke neurologist is able to take just a few minutes to draw investigations for thrombophilia prior to starting anticoagulation. Therefore, in many situations, the hypercoagulable battery results become available. This may not be possible in the neurological intensive care unit where patients may come to you with anticoagulation already started but tests not necessarily drawn ahead of time. As pointed out, early levels of certain clotting factors such as protein C and S are still not reliable being affected by the presence of acute thrombosis. We thank you again for your thoughtful comments and perspective on this topic.

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)0.043
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.043
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0210.005

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 head0.062
GPT teacher head0.301
Teacher spread0.239 · 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
GenreCommentary

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".

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Citations0
Published2019
Admission routes2
Has abstractyes

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