Evidence map›Paper›PMID 31737460›Full record

ArticleCureus2019

Gender Differences in Outcomes after Non-traumatic Intracerebral Hemorrhage.

Alexandra Craen, Rohan Mangal, Tej G Stead, Latha Ganti

Abstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Unveiling the Crystal Ball: Predictors of Adverse Outcomes in Intracerebral Hemorrhage Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

4 authors.

Alexandra CraenEmergency Medicine, University of Central Florida College of Medicine, Orlando, USA.
Rohan MangalEmergency Medicine, Johns Hopkins University, Baltimore, USA.
Tej G SteadEmergency Medicine, Brown University, Providence, USA.
Latha GantiEmergency Medicine, Envision Physician Services, Orlando, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Nontraumatic intracranial hemorrhages (ICH) are serious cerebrovascular events with high morbidity and mortality. They occur in about two million people a year worldwide. While ICH continues to be a focus of research in the medical community, there is little data on the differences in outcomes by gender. We aimed to further investigate these differences in our study. Methods This analysis involves a de-identified dataset of all adult patients who presented to one of our hospital system's emergency departments with ICHs as one of the top three discharge diagnoses. This study was considered exempt by our medical school's Institutional Review Board (IRB). Our hospital system comprises over 176 hospitals in the United States with over 8.6 million emergency department visits annually. Logistic regression analyses were performed using JMP 14.1. Outcome variables included the length of stay, mortality, and disposition. Results The cohort (n = 8069) comprised 68% Caucasians, 17% Blacks, 5% Asians, and 1% Hispanic. Forty-eight percent of patients were females with a median age of 71 years. Fifty-two percent of patients were males with a median age of 65 years. One-fifth of the cohort (20%) died while another fifth (21%) were discharged home. Thirteen percent joined hospice. Women were significantly more likely to die or join hospice (

Indexed as

intracerebral hemorrhagestroke

Identifiers

PMID31737460
PMCPMC6823069

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.