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Record W4387077070 · doi:10.1177/17474930231206066

Is telestroke more effective than conventional treatment for acute ischemic stroke? A systematic review and meta-analysis of patient outcomes and thrombolysis rates

2023· review· en· W4387077070 on OpenAlexaff
Ahmed Mohamed, Salah Elsherif, Brittney Legere, Nida Fatima, Ashfaq Shuaib, Maher Saqqur

Bibliographic record

VenueInternational Journal of Stroke · 2023
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of AlbertaUniversity of GuelphQueen's UniversityUniversity of TorontoMcMaster University
Fundersnot available
KeywordsMedicineThrombolysisConfidence intervalModified Rankin ScaleOdds ratioStroke (engine)TelemedicineInternal medicineMeta-analysisTissue plasminogen activatorFibrinolytic agentIschemic strokePhysical therapyEmergency medicineHealth careMyocardial infarctionIschemia

Abstract

fetched live from OpenAlex

BACKGROUND: Telestroke systems operate through remote communication, providing distant stroke evaluation through expert healthcare providers. The aim of this study was to assess whether the implementation of a telestroke system influenced stroke treatment outcomes in acute ischemic stroke (AIS) patients compared with conventional in-person treatment. AIMS: The study group evaluated multiple studies from electronic databases, comparing telemedicine (TM) and non-telemedicine (NTM) AIS patients between 1999 and 2022. We aimed to evaluate baseline characteristics, critical treatment times, and clinical outcomes. SUMMARY OF REVIEW: A total of 12,540 AIS patients were included in our study with 7936 (63.9%) thrombolyzed patients. Of the thrombolyzed patients, 4150 (51.7%) were treated with TM, while 3873 (48.3%) were not. The mean age of TM and NTM cohorts was 70.45 ± 4.68 and 70.42 ± 4.63, respectively (p > 0.05). Mean National Institute of Health Stroke Scale scores were comparable, with the TM group reporting a non-significantly higher mean (11.89 ± 3.29.6 vs. 11.13 ± 3.65, p > 0.05). No significant difference in outcomes was found for symptoms onset-to-intravenous tissue plasminogen activator (ivtPA) times (144.09 ± 18.87 vs. 147.18 ± 25.97, p = 0.632) and door-to-needle times (73.03 ± 20.04 vs. 65.91 ± 25.96, p = 0.321). Modified Rankin scale scores (0-2) were evaluated, and no significant difference was detected between cohorts (odds ratio (OR): 1.06, 95% confidence interval (CI): 0.89-1.29, p = 0.500). Outcomes did not indicate any significance between both cohorts for 90-day mortality (OR: 1.16, 95% CI: 0.94-1.43, p = 0.17) or symptomatic intracranial hemorrhage (OR: 0.99, 95% CI: 0.73-1.34, p = 0.93). Results between groups were also non-significant when analyzing the rate of thrombolysis with ivtPA (30.86%± 30.7 vs. 20.5%± 18.6, p = 0.372) and endovascular mechanical thrombectomy (11.8%± 11.7 vs. 18.7%± 18.9, p = 0.508). CONCLUSION: The use of telestroke in the treatment of AIS patients is safe with minimal non-significant differences in long-term outcomes and rates of thrombolysis compared with face-to-face treatment. Further studies comparing the different methods of TM are needed to assess the efficacy of TM in stroke treatment.

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)0.011
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.034
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.033
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.404
Teacher spread0.343 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations30
Published2023
Admission routes1
Has abstractyes

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