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Record W3212979774 · doi:10.1097/md.0000000000027683

Effect of Danhong injection on neurological recovery and adverse events in patients with acute ischemic stroke

2021· article· en· W3212979774 on OpenAlexaff
Junfeng Gao, Xiangzhong Shao, YiXiang Guan, JuXiang Mei

Bibliographic record

VenueMedicine · 2021
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsMedicineStroke (engine)Adverse effectAnesthesiaIschemic strokeBrain ischemiaCardiologyInternal medicineEmergency medicineIschemia

Abstract

fetched live from OpenAlex

BACKGROUND: Acute ischemic stroke (AIS) is characterized by high disabling and recurrent recurrence, and its severe neurological impairment and vascular adverse events (AEs) limit the recovery of patients. Danhong injection is a complementary alternative to the treatment of AIS, and previous studies have demonstrated its efficacy and safety. However, there is no long-term follow-up and rigorous clinical study to evaluate the effect of Danhong injection on neurological recovery and AEs in patients with AIS. METHODS: This is a prospective randomized, double-blind, placebo-controlled trial investigating the effect of Danhong injection on neurological recovery and AEs in patients with AIS. Participants were randomly divided into treatment and control groups in a 1:1 ratio. The treatment group was treated with Danhong injection and the control group were treated with placebo under the guideline recommended basic treatment. After 14 days of continuous treatment, the follow-up period was 6 months. Observation indicators include: National Institute of Health Stroke Scale, modified Rankin scale, symptomatic intracranial hemorrhage, the incidence of new major vascular events within 6 months, and all-cause mortality. Finally, the data were analyzed statistically using the SPASS 22.0 software. DISCUSSION: This study will evaluate the effect of Danhong injection on neurological recovery and AEs in AIS. The results will provide a reference for the clinical use of AIS.

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 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)0.000
metaresearch head score (Gemma)0.001
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 score0.017
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.239
Teacher spread0.234 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2021
Admission routes1
Has abstractyes

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