Evidence map›Paper›PMID 35910334›Full record

ArticleBMJ neurology open2022

Large vessel occlusion prediction scales provide high negative but low positive predictive values in prehospital suspected stroke patients.

Kevin J Keenan, Wade S Smith, Sara B Cole, Christine Martin, J Claude Hemphill, Debbie Y Madhok

Abstract read
In one paragraph

Article in BMJ neurology open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kevin J KeenanDepartment of Neurology, University of California Davis, Sacramento, California, USA.ORCID 0000-0002-5643-9878
Wade S SmithDepartment of Neurology, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.
Sara B ColeDepartment of Neurology, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.
Christine MartinDepartment of Neurology, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.
J Claude HemphillDepartment of Neurology, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.
Debbie Y MadhokDepartment of Neurology, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California, USA.

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Smith_U24_Supplement P0570485 5 30 2023U24NS107229 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Anthony Suyoung Kim · 2018 to 2026
$2.9M
NorCal - Coordinating Stroke CenterU10NS086494 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SMITH, WADE S · 2013 to 2017
$2.0M
NCATS NIH HHS UL1 TR001860NINDS NIH HHS U10 NS086494NINDS NIH HHS U24 NS107229
6 · The paper itself

Abstract

Introduction: We studied a registry of Emergency Medical Systems (EMS) identified prehospital suspected stroke patients brought to an academic endovascular capable hospital over 1 year to assess the prevalence of disease and externally validate large vessel occlusion (LVO) stroke prediction scales with a focus on predictive values. Methods: All patients had last known well times within 6 hours and a positive prehospital Cincinnati Prehospital Stroke Scale. LVO prediction scale scores were retrospectively calculated from emergency department arrival National Institutes of Health Stroke Scale scores. Final diagnoses were determined by chart review. Prevalence and diagnostic performance statistics were calculated. We prespecified analyses to identify scale thresholds with positive predictive values (PPVs) ≥80% and negative predictive values (NPVs) ≥95%. A secondary analysis identified thresholds with PPVs ≥50%. Results: Of 220 EMS transported patients, 13.6% had LVO stroke, 15.9% had intracranial haemorrhage, 20.5% had non-LVO stroke and 50% had stroke mimic diagnoses. LVO stroke prevalence was 15.8% among the 184 diagnostic performance study eligible patients. Only Field Assessment Stroke Triage for Emergency Destination (FAST-ED) ≥7 had a PPV ≥80%, but this threshold missed 83% of LVO strokes. FAST-ED ≥6, Prehospital Acute Severity Scale =3 and Rapid Arterial oCclusion Evaluation ≥7 had PPVs ≥50% but sensitivities were <50%. Several standard and lower alternative scale thresholds achieved NPVs ≥95%, but false positives were common. Conclusions: Diagnostic performance tradeoffs of LVO prediction scales limited their ability to achieve high PPVs without missing most LVO strokes. Multiple scales provided high NPV thresholds, but these were associated with many false positives.

Indexed as

STROKE

Identifiers

PMID35910334
PMCPMC9274523

What OpenQuestion holds

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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.