Evidence map›Paper›PMID 29669574›Full record

ArticleCritical care (London, England)2018

Effects of modifiable prehospital factors on survival after out-of-hospital cardiac arrest in rural versus urban areas.

Wenche Torunn Mathiesen, Conrad Arnfinn Bjørshol, Jan Terje Kvaløy, Eldar Søreide

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
9.7field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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  10. PULSE survey: Population Survey on Knowledge, Gaps and Perception of Heart Rhythm disorders-an initiative of the Scientific Initiatives Committee of the European Heart Rhythm Association.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
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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.

Wenche Torunn MathiesenCritical Care and Anesthesiology Research Group, Stavanger University Hospital, Stavanger, Norway. wenche.torunn.mathiesen@sus.no.ORCID http://orcid.org/0000-0002-9860-9580
Conrad Arnfinn BjørsholDepartment of Anesthesiology and Intensive Care, Stavanger University Hospital, Stavanger, Norway.
Jan Terje KvaløyResearch Department, Stavanger University Hospital, Stavanger, Norway.
Eldar SøreideCritical Care and Anesthesiology Research Group, Stavanger University Hospital, Stavanger, Norway.
Stavanger University Hospital · NOStiftelsen Norsk Luftambulanse · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe modifiable prehospital system factors, bystander cardiopulmonary resuscitation (CPR), emergency medical services (EMS), response time, and EMS physician attendance, may affect short- and long-term survival for both rural and urban out-of-hospital cardiac arrest (OHCA) patients. We studied how such factors influenced OHCA survival in a mixed urban/rural region with a high survival rate after OHCA.

methodsWe analyzed the association between modifiable prehospital factors and survival to different stages of care in 1138 medical OHCA patients from an Utstein template-based cardiac arrest registry, using Kaplan-Meier type survival curves, univariable and multivariable logistic regression and mortality hazard plots.

resultsWe found a significantly higher probability for survival to hospital admission (OR: 1.84, 95% CI 1.43-2.36, p < 0.001), to hospital discharge (OR: 1.51, 95% CI 1.08-2.11, p = 0.017), and at 1 year (OR: 1.58, 95% CI 1.11-2.26, p = 0.012) in the urban group versus the rural group. In patients receiving bystander CPR before EMS arrival, the odds of survival to hospital discharge increased more than threefold (OR: 3.05, 95% CI 2.00-4.65, p < 0.001). However, bystander CPR was associated with increased patient survival to discharge only in urban areas (survival probability 0.26 with CPR vs. 0.08 without CPR, p < 0.001). EMS response time ≥ 10 min was associated with decreased survival (OR: 0.61, 95% CI 0.45-0.83, p = 0.002), however, only in urban areas (survival probability 0.15 ≥ 10 min vs. 0.25 < 10 min, p < 0.001). In patients with prehospital EMS physician attendance, no significant differences were found in survival to hospital discharge (OR: 1.37, 95% CI 0.87-2.16, p = 0.17). In rural areas, patients with EMS physician attendance had an overall better survival to hospital discharge (survival probability 0.17 with EMS physician vs. 0.05 without EMS physician, p = 0.019). Adjusted for modifiable factors, the survival differences remained.

conclusionsOverall, OHCA survival was higher in urban compared to rural areas, and the effect of bystander CPR, EMS response time and EMS physician attendance on survival differ between urban and rural areas. The effect of modifiable factors on survival was highest in the prehospital stage of care. In patients surviving to hospital admission, there was no significant difference in in-hospital mortality or in 1 year mortality between OHCA in rural versus urban areas.

Indexed as

AgedAged, 80 and overAmbulancesCardiopulmonary ResuscitationEmergency Medical ServicesFemaleHospitalizationHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedNorwayOut-of-Hospital Cardiac ArrestRegistriesRural PopulationCardiopulmonary resuscitationOut-of-hospital cardiac arrestRuralSurvivalUrban

Identifiers

PMID29669574
PMCPMC5907488
OpenAlexW2801481812

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.