Evidence map›Paper›PMID 25648158›Full record

ArticleBioMed research international2015

New prognostic score for the prediction of 30-day outcome in spontaneous supratentorial cerebral haemorrhage.

Rita Szepesi, Ibolya Katalin Széll, Tibor Hortobágyi, László Kardos, Katalin Nagy, Levente István Lánczi, Ervin Berényi, Dániel Bereczki, László Csiba

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

9 authors at 2 institutions in 1 country.

Rita SzepesiDepartment of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
Ibolya Katalin SzéllDepartment of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
Tibor HortobágyiDepartment of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary ; Division of Neuropathology, Institute of Pathology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
László KardosHygiene and Infection Control Services, Kenézy Hospital, Debrecen 4031, Hungary.
Katalin NagyDepartment of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
Levente István LáncziDepartment of Biomedical Laboratory and Imaging Science, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
Ervin BerényiDepartment of Biomedical Laboratory and Imaging Science, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
Dániel BereczkiDepartment of Neurology, Semmelweis University, Budapest 1083, Hungary.
László CsibaDepartment of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
University of Debrecen · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe purpose of the present study was to evaluate predictors of outcome in primary supratentorial cerebral haemorrhage. Furthermore, we aimed to develop a prognostic model to predict 30-day fatality.

methodsWe retrospectively analyzed a database of 156 patients with spontaneous supratentorial haemorrhage to explore the relationship between clinical and CT characteristics and fatal outcome within 30 days using multiple logistic regression analysis. The analyzed factors included volumetric data assessed by neuropathological and CT volumetry. A second CT scan in survivors or neuropathological ABC/2 volumetry in nonsurvivors was used along with the baseline CT to assess the growth index of haematoma.

resultsSystolic blood pressure, serum potassium and glucose levels, platelet count, absolute and relative haematoma volumes, and presence and size of intraventricular haemorrhage statistically significantly predicted the fatal outcome within 30 days. Based on our results we formulated a six-factor scoring algorithm named SUSPEKT to predict outcome.

conclusionsAfter validation the SUSPEKT score may be applicable in general clinical practice for early patient selection to optimize individual management or for assessment of eligibility for treatment trials.

Indexed as

AgedBlood GlucoseBlood PressureCerebral HemorrhageFemaleHumansMalePlatelet CountPotassiumPrognosisRetrospective StudiesTomography, X-Ray ComputedBlood GlucosePotassium

Identifiers

PMID25648158
PMCPMC4306393
OpenAlexW2019290005

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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.