ReviewSpinal cord2026
Operationalizing an early time-to-decompression best practice & monitoring approach in a provincial health system.
Review in Spinal cord, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A collaborative, multidisciplinary, provincial approach was constructed involving a provincial working group (WG) in a province-wide health system in Alberta, Canada to advance an early (< 24 h) time-to-decompression for adult patients with traumatic spinal cord injury (traumatic SCI). Key elements for the WG included the organizational context; theoretical foundation and guiding principles; pre-engagement activities; WG activities; and evidence reviews. This approach yielded inter-connected deliverables to advance early time-to-decompression in traumatic SCI: (1) a provincial best practice recommendation for Alberta's health system; (2) a near-real-time (weekly) provincial dashboard using a Large Language Model; and (3) a committed, local and provincial monitoring and learning approach. This work exposed early challenges to realizing and monitoring early spinal decompression for acute traumatic SCI in Alberta, and the opportunity to use artificial intelligence to capture near-real-time data for provincial improvement and learning at system-level. Balancing information in the dashboard led to noise in that data, which suits monitoring versus accountability framework. Merging community, learning and AI enabled multidisciplinary interest-holders in acute traumatic SCI to advance towards timely access to surgical decompression.Sponsorship: PRAXIS Spinal Cord Institute, Acute Care Alberta, Alberta Health Services.
Identifiers
42722709What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.