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Record W2146442203 · doi:10.1161/01.str.31.3.791-f

Extracranial Cervical Artery Dissection

2000· letter· en· W2146442203 on OpenAlexaff
Michael D. Hill, Granger Hwa, James Perry

Bibliographic record

VenueStroke · 2000
Typeletter
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreFoothills Medical Centre
Fundersnot available
KeywordsMedicineCervical ArteryVertebral arteryDissection (medical)RadiologyStroke (engine)Surgery

Abstract

fetched live from OpenAlex

To the Editor:We were pleased to see the report of the randomized feasibility study of early surgical treatment for supratentorial intracerebral hemorrhage by Zuccarello et al. 1 This study provides yet more evidence of the need for a large randomized trial of surgery for spontaneous intracerebral hemorrhage, as has been shown previously.[2][3][4][5][6][7][8] We wish to inform your readers of the progress of such a trial.The STICH (Surgical Trial in Intracerebral Haemorrhage) has been funded by the Medical Research Council (UK) but is open to centers from any country, and we would invite interested centers to contact us.STICH is a multicenter, pragmatic, randomized trial aiming to recruit 1000 patients.The trial is managed by a team at Newcastle University (UK).To date, we have 68 centers from the United Kingdom, Germany, Sweden, Spain, Hungary, Poland, Czech Republic, Italy, Belgium, Greece, Ukraine, Russia, South Africa, Hong Kong and the United States.Randomization is performed by telephoning the Randomisation Service at Oxford University (UK) after identifying a patient, gaining consent, and completing a randomization form.An additional form is completed 2 weeks later (or at death or discharge if earlier) to record patient status at this point and details of any surgery or adverse events.Follow-up at 6 months is obtained by the team in Newcastle, who send a questionnaire to each patient for completion.So far we have recruited 273 patients to the study, and complete 6-month follow-up data has been achieved for 130 patients.The trial is being carried out following the MRC Guidelines for Good Clinical Practice in Clinical Trials, and the data will be analyzed by treatment group after the recruitment of the final patient.Our study will permit us to investigate whether time to surgery has an effect on outcome.Time to randomization is up to 72 hours after ictus, although 30% of patients are randomized within 12 hours.Patients randomized to early surgery receive the treating surgeon's preferred method of surgery, as soon as possible within 24 hours, and best medical care.Patients randomized to initial conservative treatment receive best medical care, including early transfer from the neurosurgery department if appropriate.Late surgery may be performed if the patient's condition changes and surgery becomes appropriate.Patients can be included in the study only if the neurosurgeon is uncertain about the need for surgery.To achieve our target sample of 1000 as soon as possible, we would welcome participation of additional centers.Anyone who wishes to join the study should email us at stich

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0250.011
Insufficient payload (model declined to judge)0.0070.004

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 head0.015
GPT teacher head0.252
Teacher spread0.236 · 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 designCase report
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

Citations13
Published2000
Admission routes1
Has abstractno

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