Evidence map›Paper›PMID 31672418›Full record

Observational studyBrazilian journal of anesthesiology (Elsevier)

[Risk factors for mortality after subarachnoid hemorrhage: a retrospective observational study].

Matthaios Papadimitriou-Olivgeris, Anastasia Zotou, Kyriaki Koutsileou, Diamanto Aretha, Maria Boulovana, Theofanis Vrettos, Christina Sklavou, Markos Marangos, Fotini Fligou

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Brazilian journal of anesthesiology (Elsevier). 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
0.5field-weighted citation impact, top 33% 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, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Development of a predictive nomogram for 28-day mortality risk in non-traumatic or post-traumatic subarachnoid hemorrhage patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  7. Article
  8. Article
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 1 institution in 2 countries.

Matthaios Papadimitriou-OlivgerisUniversity of Patras, School of Medicine, Division of Infectious Diseases, Patras, Grécia; University Hospital of Lausanne, Department of Infectious Diseases, Lausana, Suíça. Electronic address: papadimitrioumat@gmail.com.
Anastasia ZotouUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Grécia.
Kyriaki KoutsileouUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Grécia.
Diamanto ArethaUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Grécia.
Maria BoulovanaUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Grécia.
Theofanis VrettosUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Grécia.
Christina SklavouUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Grécia.
Markos MarangosUniversity of Patras, School of Medicine, Division of Infectious Diseases, Patras, Grécia.
Fotini FligouUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Grécia.
University of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesSubarachnoid haemorrhage is an important cause of morbidity and mortality. The aim of the study was to determine predictors of mortality among patients with subarachnoid hemorrhage hospitalized in an Intensive Care Unit.

methodsThis is a retrospective study of patients with subarachnoid hemorrhage admitted to the Intensive Care Unit of our institution during a 7 year period (2009-2015). Data were collected from the Intensive Care Unit computerized database and the patients' chart reviews.

resultsWe included in the study 107 patients with subarachnoid haemorrhage. A ruptured aneurysm was the cause of subarachnoid haemorrhage in 76 (71%) patients. The overall mortality was 40% (43 patients), and was significantly associated with septic shock, midline shift on CT scan, inter-hospital transfer, aspiration pneumonia and hypernatraemia during the first 72 hours of Intensive Care Unit stay. Multivariate analysis of patients with subarachnoid hemorrhage following an aneurysm rupture revealed that mortality was significantly associated with septic shock and hypernatremia during the first 72 hours of Intensive Care Unit stay, while early treatment of aneurysm (clipping or endovascular coiling) within the first 72 hours was identified as a predictor of a good prognosis.

conclusionsTransferred patients with subarachnoid haemorrhage had lower survival rates. Septic shock and hypernatraemia were important complications among critically ill patients with subarachnoid haemorrhage and were associated increased mortality.

Indexed as

AgedFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsSubarachnoid HemorrhageBactérias produtoras de carbapenemasesCarbapenemase‐producing bacteriaChoque sépticoHipernatremiaHypernatraemiaIntensive Care UnitInter‐hospital transferSeptic shockTransferência inter‐hospitalarUnidade de Tratamento Intensivo

Identifiers

PMID31672418
PMCPMC9391911
OpenAlexW2972447004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.