Evidence map›Paper›PMID 39282507›Full record

ArticleNeurology. Clinical practice2024

Geographic Access to High-Volume Mechanical Thrombectomy Centers in Florida, 2019.

Liza Solovey, Renee Y Hsia, Yu-Chu Shen, Elan L Guterman, Jay Chol Choi, Anthony S Kim

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Liza SoloveyUCSF Weill Institute for Neurosciences, Department of Neurology (LS, ELG, ASK), Department of Emergency Medicine (RYH); Philip R. Lee Institute for Health Policy Studies (RYH, ELG), University of California, San Francisco; Naval Postgraduate School (Y-CS), Monterey, CA; National Bureau of Economic Research (Y-CS), Cambridge, MA; and Department of Neurology (JCC), School of Medicine, Jeju National University, Korea.ORCID https://orcid.org/0000-0002-0365-1293
Renee Y HsiaUCSF Weill Institute for Neurosciences, Department of Neurology (LS, ELG, ASK), Department of Emergency Medicine (RYH); Philip R. Lee Institute for Health Policy Studies (RYH, ELG), University of California, San Francisco; Naval Postgraduate School (Y-CS), Monterey, CA; National Bureau of Economic Research (Y-CS), Cambridge, MA; and Department of Neurology (JCC), School of Medicine, Jeju National University, Korea.ORCID https://orcid.org/0000-0001-9819-6926
Yu-Chu ShenUCSF Weill Institute for Neurosciences, Department of Neurology (LS, ELG, ASK), Department of Emergency Medicine (RYH); Philip R. Lee Institute for Health Policy Studies (RYH, ELG), University of California, San Francisco; Naval Postgraduate School (Y-CS), Monterey, CA; National Bureau of Economic Research (Y-CS), Cambridge, MA; and Department of Neurology (JCC), School of Medicine, Jeju National University, Korea.ORCID https://orcid.org/0000-0003-1097-0345
Elan L GutermanUCSF Weill Institute for Neurosciences, Department of Neurology (LS, ELG, ASK), Department of Emergency Medicine (RYH); Philip R. Lee Institute for Health Policy Studies (RYH, ELG), University of California, San Francisco; Naval Postgraduate School (Y-CS), Monterey, CA; National Bureau of Economic Research (Y-CS), Cambridge, MA; and Department of Neurology (JCC), School of Medicine, Jeju National University, Korea.ORCID https://orcid.org/0000-0003-0817-3144
Jay Chol ChoiUCSF Weill Institute for Neurosciences, Department of Neurology (LS, ELG, ASK), Department of Emergency Medicine (RYH); Philip R. Lee Institute for Health Policy Studies (RYH, ELG), University of California, San Francisco; Naval Postgraduate School (Y-CS), Monterey, CA; National Bureau of Economic Research (Y-CS), Cambridge, MA; and Department of Neurology (JCC), School of Medicine, Jeju National University, Korea.ORCID https://orcid.org/0000-0002-3550-2196
Anthony S KimUCSF Weill Institute for Neurosciences, Department of Neurology (LS, ELG, ASK), Department of Emergency Medicine (RYH); Philip R. Lee Institute for Health Policy Studies (RYH, ELG), University of California, San Francisco; Naval Postgraduate School (Y-CS), Monterey, CA; National Bureau of Economic Research (Y-CS), Cambridge, MA; and Department of Neurology (JCC), School of Medicine, Jeju National University, Korea.ORCID https://orcid.org/0000-0002-8095-6517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Mechanical thrombectomy (MT) improves outcomes for acute ischemic stroke (AIS) due to large vessel occlusion, but is time sensitive and requires specialized infrastructure. Professional organizations and certification bodies have promulgated minimum procedural volume standards for centers and for individual proceduralists but it is unclear whether enforcing these requirements would decrease geographic access to MT. Therefore, we sought to evaluate the potential impact of applying a minimum procedural volume threshold on geographic access to MT. Methods: We identified all hospital discharges for stroke where an MT procedure was performed at any nonfederal hospital in Florida in 2019 using statewide hospital discharge data. We then generated geographic service area maps based on prespecified ground transport distances for the subset of hospitals that performed at least 1 MT and for those that performed at least 15 MTs that year, the minimum volume threshold required for thrombectomy capable and comprehensive stroke centers by the Joint Commission. Then, using zip code centroids and patient-level discharge hospital data, we computed the proportion of patients with AIS who lived within each of the generated service areas. Results: A total of 105 of 297 hospitals performed MT; of those, 51 (17%) were low-volume centers (1-14 MTs/year) and 54 (18%) were high-volume centers (≥15 MTs/year). High-volume centers accounted for nearly 95% of all MTs performed in the state. Most patients hospitalized with AIS (87%) lived within 20 miles (or an estimated as a 1-hour driving time) of a hospital that performed at least 1 MT, and all (100%) lived within 115 miles (or estimated as 3-hour driving time). Setting a minimum MT volume threshold of 15 would decrease the proportion of stroke patients living within 1-hour driving time of an MT center from 87% to 77%. Discussion: In 2019, most Florida stroke patients lived within a 1-hour ground transport time to a center that performed at least 1 MT and all lived within 3-hour driving time of an MT center, irrespective of whether a minimum procedural volume threshold of 15 cases per year was applied or not.

Identifiers

PMID39282507
PMCPMC11396029

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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.