Evidence map›Paper›PMID 39440147›Full record

ArticleNeurotrauma reports2024

Multicenter Study Examining Temporal Trends in Traumatic Intracranial Hemorrhage Over Six Years Using Joinpoint Regression.

Timbre Backen, Kristin Salottolo, David Acuna, Carlos H Palacio, Gina Berg, Andrea Tsoris, Robert Madayag, Kaysie Banton, David Bar-Or

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurotrauma reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Timbre BackenTrauma Services Department, Swedish Medical Center, Englewood, Colorado, USA.
Kristin SalottoloTrauma Research Departments, Swedish Medical Center, Englewood, Colorado, USA.
David AcunaTrauma Services Department, Wesley Medical Center, Wichita, Kansas, USA.
Carlos H PalacioTrauma Services Department, South Texas Health System, McAllen, Texas, USA.
Gina BergTrauma Services Department, Wesley Medical Center, Wichita, Kansas, USA.
Andrea TsorisTrauma Services Department, Penrose Hospital, Colorado Springs, Colorado, USA.
Robert MadayagTrauma Services Department, St. Anthony Hospital, Lakewood, Colorado, USA.
Kaysie BantonTrauma Services Department, Swedish Medical Center, Englewood, Colorado, USA.
David Bar-OrTrauma Research Departments, Swedish Medical Center, Englewood, Colorado, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aging US population has altered the epidemiology of traumatic injury, but there are few studies examining changing patterns of traumatic intracranial hemorrhage (tICH). We examined temporal changes in incidence, demographics, severity, management, and outcomes of tICH among trauma admissions at six US Level I trauma centers over 6 years (July 1, 2016-June 30, 2022). Patients with tICH (subdural, epidural, subarachnoid, and intracerebral hemorrhage) were identified by 10th revision of the International Statistical Classification of Diseases diagnosis codes. Temporal trends were examined over 12 six-month intervals using joinpoint regression and reported as biannual percent change (BPC); models without joinpoints are described as linear trends over time. There were 67,514 trauma admissions over 6 years and 11,935 (17.7%) patients had a tICH. The proportion of tICH injuries significantly increased 2.6% biannually from July 2016 to July 2019 (BPC = 2.6,

Indexed as

ageepidemiologyhead traumasurgerytraumatic brain injury

Identifiers

PMID39440147
PMCPMC11491587

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.