Evidence map›Paper›PMID 32409315›Full record

ArticleAJNR. American journal of neuroradiology2020

Prediction of Outcome Using Quantified Blood Volume in Aneurysmal SAH.

W E van der Steen, H A Marquering, L A Ramos, R van den Berg, B A Coert, A M M Boers, M D I Vergouwen, G J E Rinkel, B K Velthuis, Y B W E M Roos and 3 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 24 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

13 authors at 5 institutions in 3 countries.

W E van der SteenFrom the Departments of Biomedical Engineering and Physics (W.E.v.d.S., H.A.M., L.A.R., A.M.M.B.) w.e.vandersteen@amc.uva.nl.ORCID 0000-0002-6357-2933
H A MarqueringFrom the Departments of Biomedical Engineering and Physics (W.E.v.d.S., H.A.M., L.A.R., A.M.M.B.).ORCID 0000-0002-1414-6313
L A RamosFrom the Departments of Biomedical Engineering and Physics (W.E.v.d.S., H.A.M., L.A.R., A.M.M.B.).ORCID 0000-0001-7738-9200
R van den BergRadiology and Nuclear Medicine (W.E.v.d.S., H.A.M., R.v.d.B., C.B.L.M.M.).ORCID 0000-0002-8791-8791
B A CoertNeurosurgical Center Amsterdam (W.E.v.d.S., B.A.C., W.P.V., D.V.), Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-3277-031X
A M M BoersFrom the Departments of Biomedical Engineering and Physics (W.E.v.d.S., H.A.M., L.A.R., A.M.M.B.).ORCID 0000-0002-3950-1561
M D I VergouwenDepartments of Neurology and Neurosurgery, Brain Center Rudolf Magnus (M.D.I.V., G.J.E.R.).ORCID 0000-0002-6823-1628
G J E RinkelDepartments of Neurology and Neurosurgery, Brain Center Rudolf Magnus (M.D.I.V., G.J.E.R.).ORCID 0000-0001-8930-3953
B K VelthuisRadiology (B.K.V.), University Medical Center, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0002-2542-9474
Y B W E M RoosNeurology (W.E.v.d.S., Y.B.W.E.M.R.).ORCID 0000-0001-9205-5882
C B L M MajoieRadiology and Nuclear Medicine (W.E.v.d.S., H.A.M., R.v.d.B., C.B.L.M.M.).ORCID 0000-0002-7600-9568
W P VandertopNeurosurgical Center Amsterdam (W.E.v.d.S., B.A.C., W.P.V., D.V.), Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-5417-0265
D VerbaanNeurosurgical Center Amsterdam (W.E.v.d.S., B.A.C., W.P.V., D.V.), Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-9212-5470
MACOM (United States) · USUniversity of Amsterdam · NLHersenstichting · NLRzeszów School of Engineering and Economics · PLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn patients with SAH, the amount of blood is strongly associated with clinical outcome. However, it is commonly estimated with a coarse grading scale, potentially limiting its predictive value. Therefore, we aimed to develop and externally validate prediction models for clinical outcome, including quantified blood volumes, as candidate predictors. MATERIALS AND

methodsClinical and radiologic candidate predictors were included in a logistic regression model. Unfavorable outcome was defined as a modified Rankin Scale score of 4-6. An automatic hemorrhage-quantification algorithm calculated the total blood volume. Blood was manually classified as cisternal, intraventricular, or intraparenchymal. The model was selected with bootstrapped backward selection and validated with the

resultsThe total blood volume, neurologic condition, age, aneurysm size, and history of cardiovascular disease remained in the final models after selection. The externally validated predictive accuracy and discriminative power were high (

conclusionsThe total blood volume-based prediction model for clinical outcome in patients with SAH showed a high predictive accuracy, higher than a prediction model including the commonly used modified Fisher scale.

Indexed as

AlgorithmsBlood VolumeAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsRecovery of FunctionRetrospective StudiesSubarachnoid Hemorrhage

Identifiers

PMID32409315
PMCPMC7342737
OpenAlexW3024171850

What OpenQuestion holds

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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.