Evidence map›Paper›PMID 28181626›Full record

ArticleAge and ageing2017

Important factors in predicting mortality outcome from stroke: findings from the Anglia Stroke Clinical Network Evaluation Study.

Phyo Kyaw Myint, Max O Bachmann, Yoon Kong Loke, Stanley D Musgrave, Gill M Price, Rachel Hale, Anthony Kneale Metcalf, David A Turner, Diana J Day, Elizabeth A Warburton and 1 more

Open access · bronzeAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Age and ageing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  8. One-year survival and prognostic factors for survival among stroke patients: The PROVE-stroke study.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
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  18. In Hospital Stroke Mortality: Rates and Determinants in Southwestern Saudi Arabia.International journal of environmental research and public health · 2018
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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

11 authors at 4 institutions in 1 country.

Phyo Kyaw MyintNorwich Medical School, University of East Anglia, Norwich, UK.
Max O BachmannNorwich Medical School, University of East Anglia, Norwich, UK.
Yoon Kong LokeNorwich Medical School, University of East Anglia, Norwich, UK.
Stanley D MusgraveNorwich Medical School, University of East Anglia, Norwich, UK.
Gill M PriceNorwich Medical School, University of East Anglia, Norwich, UK.
Rachel HaleNorfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK.
Anthony Kneale MetcalfNorwich Medical School, University of East Anglia, Norwich, UK.
David A TurnerNorwich Medical School, University of East Anglia, Norwich, UK.
Diana J DayAddenbrooke's Hospital, Cambridge, UK.
Elizabeth A WarburtonAddenbrooke's Hospital, Cambridge, UK.
John F PotterNorwich Medical School, University of East Anglia, Norwich, UK.
University of East Anglia · GBAddenbrooke's Hospital · GBNorfolk and Norwich University Hospitals NHS Foundation Trust · GBUniversity of Cambridge · GB

Funding

Department of Health PB-PG-1208-18240
6 · The paper itself

Abstract

Background: Although variation in stroke service provision and outcomes have been previously investigated, it is less well known what service characteristics are associated with reduced short- and medium-term mortality. Methods: Data from a prospective multicentre study (2009–12) in eight acute regional NHS trusts with a catchment population of about 2.6 million were used to examine the prognostic value of patient-related factors and service characteristics on stroke mortality outcome at 7, 30 and 365 days post stroke, and time to death within 1 year. Results: A total of 2,388 acute stroke patients (mean (standard deviation) 76.9 (12.7) years; 47.3% men, 87% ischaemic stroke) were included in the study. Among patients characteristics examined increasing age, haemorrhagic stroke, total anterior circulation stroke type, higher prestroke frailty, history of hypertension and ischaemic heart disease and admission hyperglycaemia predicted 1-year mortality. Additional inclusion of stroke service characteristics controlling for patient and service level characteristics showed varying prognostic impact of service characteristics on stroke mortality over the disease course during first year after stroke at different time points. The most consistent finding was the benefit of higher nursing levels; an increase in one trained nurses per 10 beds was associated with reductions in 30-day mortality of 11–28% (P < 0.0001) and in 1-year mortality of 8–12% (P < 0.001). Conclusions: There appears to be consistent and robust evidence of direct clinical benefit on mortality up to 1 year after acute stroke of higher numbers of trained nursing staff over and above that of other recognised mortality risk factors.

Indexed as

Delivery of Health CareAgedAged, 80 and overEnglandFemaleHumansMaleMiddle AgedNursing Service, HospitalNursing Staff, HospitalPersonnel Staffing and SchedulingPrognosisProspective StudiesRisk FactorsStrokeTime Factors

Identifiers

PMID28181626
PMCPMC5377905
OpenAlexW2543360165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.