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Predictors and outcome of early neurological deterioration after endovascular thrombectomy: a secondary analysis of the DIRECT-MT trial

2022· article· en· W4281701170 on OpenAlex
Miaoyi Zhang, Pengfei Xing, Jie Tang, Langfeng Shi, Pengfei Yang, Yongwei Zhang, Lei Zhang, Ya Peng, Sheng Liu, Liyong Zhang, Jianhui Fu, Jianmin Liu

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineModified Rankin ScaleStroke (engine)Logistic regressionEndovascular treatmentOcclusionGroinRandomized controlled trialSurgeryInternal medicineIschemic strokeAneurysmIschemia

Abstract

fetched live from OpenAlex

BACKGROUND: There is uncertainty regarding the predictors of early neurological deterioration (END) after endovascular thrombectomy in patients with acute ischemic stroke (AIS). Limited studies have focused on the effect of END on functional outcome. Our aim was to determine the predictors of END after endovascular thrombectomy in AIS and its effect on functional outcome at 90 days. METHODS: This is a secondary analysis of the DIRECT-MT trial. Patients who failed to complete endovascular thrombectomy were additionally excluded. END was defined as ≥4-point increase in National Institutes of Health Stroke Scale score between admission and 24 hours after endovascular thrombectomy. Multivariable logistic regression was used to identify predictors for END and its effect on the modified Rankin Scale (mRS) score at 90 days. RESULTS: Of 591 patients enrolled, 111 (18.8%) had postoperative END, which was associated with higher ordinal mRS score at 90 days (adjusted common OR (aOR) 6.968, 95% CI 4.444 to 10.926). Non-modifiable factors included baseline Alberta Stroke Program Early CT Score (aOR 0.883, 95% CI 0.790 to 0.987), systolic blood pressure (aOR 1.017, 95% CI 1.006 to 1.028), glucose level (aOR 1.178, 95% CI 1.090 to 1.273), collateral status (aOR 0.238, 95% CI 0.093 to 0.608), occlusion site (aOR 0.496, 95% CI 0.290 to 0.851) and the presence of an anterior communicating artery (aOR 0.323, 95% CI 0.148 to 0.707). Admission-to-groin puncture time (aOR 1.010, 95% CI 1.003 to 1.017), general anesthesia (aOR 2.299, 95% CI 1.193 to 4.444), number of passes (aOR 1.561, 95% CI 1.243 to 1.961) and contrast extravasation (aOR 6.096, 95% CI 1.543 to 24.088) were modifiable predictors for END. CONCLUSIONS: Postoperative END is associated with adverse functional outcome. Several non-modifiable and modifiable factors can predict END and support future treatment decision-making to improve the potential utility of endovascular thrombectomy. TRIAL REGISTRATION NUMBER: DIRECT-MT ClinicalTrials.gov NCT03469206.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.271
Teacher spread0.242 · 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