Retinotopic mapping guides microsurgical resection of occipital arteriovenous malformation
Bibliographic record
Abstract
Methods: All eligible SAH cases treated at our institution between 01/2005 and 06/2016 were included (n¼598).Severity of anemia was assessed with the documented nadir hemoglobin [nHB] level at one-mg/dL-steps intervals (<11/ <10/<9/<8/<7mg/dL).Begin and duration of each level of anemia severity were documented.Study endpoints: 1)delayed cerebral ischemia (DCI), 2)multiterritorial infarcts on follow-up computed tomography scans, 3)in-hospital mortality and 4)poor outcome at 6 months defined as modified Rankin scale >3.Associations between severity of anemia and study endpoints were adjusted for patients' age, sex, initial severity of SAH (WFNS/Fisher grades/acute hydrocephalus), treatment modality, duration of hospital stay, ICP increase >20mmHg and angiographic vasospasm.Results: Rates of anemia were 85.8%, 70.7%, 42.3%, 16.5% and 4.7% for nHB 11/<10/<9/<8/<7mg/dL respectively.Multivariable analysis showed an increased risk of DCI with each level of nHB decline (<10 -<7mg/dL).For the risk of multi-territorial infarcts, in-hospital mortality and poor outcome at 6 months, independent associations were observed with increasing anemia severity (nHB <9 -<7mg/dL).Beginning of anemia (nHB <11 -<9mg/dL) was inversely associated with risk of in-hospital mortality.ROC analysis showed that duration of anemia at nHB values between <10 and <9mg/dL had the highest diagnostic accuracy for prediction of all study endpoints.Conclusion: Occurrence and severity of anemia are major contributors to outcome of SAH patients.nHB decline to <9mg/dL was strongly associated with all study endpoints.Also, DCI risk already increases at a nHB of <10 mg/dL.SAH patients with early occurrence of anemia are prone to shorter survival.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".