Evidence map›Paper›PMID 28402772›Full record

ArticleThe New England journal of medicine2017

Delays in Emergency Care and Mortality during Major U.S. Marathons.

Anupam B Jena, N Clay Mann, Leia N Wedlund, Andrew Olenski

Open access · bronzeAbstract read
In one paragraph

Article in The New England journal of medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

31 citing papers in PubMed, 92 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Anupam B JenaFrom the Department of Health Care Policy, Harvard Medical School (A.B.J., A.O.), and Massachusetts General Hospital (A.B.J.) - both in Boston, and the National Bureau of Economic Research (A.B.J.) and Harvard University (L.N.W.), Cambridge - all in Massachusetts; and the Department of Pediatrics, University of Utah School of Medicine, and the National EMS Information System Technical Assistance Center - both in Salt Lake City (N.C.M.).
N Clay MannFrom the Department of Health Care Policy, Harvard Medical School (A.B.J., A.O.), and Massachusetts General Hospital (A.B.J.) - both in Boston, and the National Bureau of Economic Research (A.B.J.) and Harvard University (L.N.W.), Cambridge - all in Massachusetts; and the Department of Pediatrics, University of Utah School of Medicine, and the National EMS Information System Technical Assistance Center - both in Salt Lake City (N.C.M.).
Leia N WedlundFrom the Department of Health Care Policy, Harvard Medical School (A.B.J., A.O.), and Massachusetts General Hospital (A.B.J.) - both in Boston, and the National Bureau of Economic Research (A.B.J.) and Harvard University (L.N.W.), Cambridge - all in Massachusetts; and the Department of Pediatrics, University of Utah School of Medicine, and the National EMS Information System Technical Assistance Center - both in Salt Lake City (N.C.M.).
Andrew OlenskiFrom the Department of Health Care Policy, Harvard Medical School (A.B.J., A.O.), and Massachusetts General Hospital (A.B.J.) - both in Boston, and the National Bureau of Economic Research (A.B.J.) and Harvard University (L.N.W.), Cambridge - all in Massachusetts; and the Department of Pediatrics, University of Utah School of Medicine, and the National EMS Information System Technical Assistance Center - both in Salt Lake City (N.C.M.).
Harvard University · USHarvard University Press · US

Funding

Physician Determinants of Health Care Spending, Quality, and Patient OutcomesDP5OD017897 · OD · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2013 to 2017
$2.1M
NIH HHS DP5 OD017897
6 · The paper itself

Abstract

backgroundLarge marathons frequently involve widespread road closures and infrastructure disruptions, which may create delays in emergency care for nonparticipants with acute medical conditions who live in proximity to marathon routes.

methodsWe analyzed Medicare data on hospitalizations for acute myocardial infarction or cardiac arrest among Medicare beneficiaries (≥65 years of age) in 11 U.S. cities that were hosting major marathons during the period from 2002 through 2012 and compared 30-day mortality among the beneficiaries who were hospitalized on the date of a marathon, those who were hospitalized on the same day of the week as the day of the marathon in the 5 weeks before or the 5 weeks after the marathon, and those who were hospitalized on the same day as the marathon but in surrounding ZIP Code areas unaffected by the marathon. We also analyzed data from a national registry of ambulance transports and investigated whether ambulance transports occurring before noon in marathon-affected areas (when road closures are likely) had longer scene-to-hospital transport times than on nonmarathon dates. We also compared transport times on marathon dates with those on nonmarathon dates in these same areas during evenings (when roads were reopened) and in areas unaffected by the marathon.

resultsThe daily frequency of hospitalizations was similar on marathon and nonmarathon dates (mean number of hospitalizations per city, 10.6 and 10.5, respectively; P=0.71); the characteristics of the beneficiaries hospitalized on marathon and nonmarathon dates were also similar. Unadjusted 30-day mortality in marathon-affected areas on marathon dates was 28.2% (323 deaths in 1145 hospitalizations) as compared with 24.9% (2757 deaths in 11,074 hospitalizations) on nonmarathon dates (absolute risk difference, 3.3 percentage points; 95% confidence interval, 0.7 to 6.0; P=0.01; relative risk difference, 13.3%). This pattern persisted after adjustment for covariates and in an analysis that included beneficiaries who had five or more chronic medical conditions (a group that is unlikely to be hospitalized because of marathon participation). No significant differences were found with respect to where patients were hospitalized or the treatments they received in the hospital. Ambulance scene-to-hospital transport times for pickups before noon were 4.4 minutes longer on marathon dates than on nonmarathon dates (relative difference, 32.1%; P=0.005). No delays were found in evenings or in marathon-unaffected areas.

conclusionsMedicare beneficiaries who were admitted to marathon-affected hospitals with acute myocardial infarction or cardiac arrest on marathon dates had longer ambulance transport times before noon (4.4 minutes longer) and higher 30-day mortality than beneficiaries who were hospitalized on nonmarathon dates. (Funded by the National Institutes of Health.).

Indexed as

Emergency Medical ServicesRunningTime-to-TreatmentTransportation of PatientsAgedAmbulancesFemaleHeart ArrestHospitalizationHumansMaleMedicareMyocardial InfarctionRegistriesUnited States

Identifiers

PMID28402772
PMCPMC5558156
OpenAlexW2606921773

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Registered trials

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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.