Evidence map›Paper›PMID 36941879›Full record

ArticleNeurotrauma reports2023

Characterizing Interhospital Variability in Neurosurgical Interventions for Patients with Mild Traumatic Brain Injury and Intracranial Hemorrhage.

Alessandro Orlando, Josef Coresh, Matthew M Carrick, Glenda Quan, Gina M Berg, Laxmi Dhakal, David Hamilton, Robert Madayag, Carlos H Palacio Lascano, David Bar-Or

Open access · goldFull text read
In one paragraph

Article in Neurotrauma reports, 2023. 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
0.4field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

10 authors at 8 institutions in 1 country.

Alessandro OrlandoDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Josef CoreshDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Matthew M CarrickDepartment of Trauma Services, Medical City Plano, Plano, Texas, USA.
Glenda QuanDepartment of Trauma Services, Swedish Medical Center, Englewood, Colorado, USA.
Gina M BergDepartment of Trauma Services, Wesley Medical Center, Wichita, Kansas, USA.
Laxmi DhakalDepartment of Trauma Services, Wesley Medical Center, Wichita, Kansas, USA.
David HamiltonDepartment of Trauma Services, Penrose Hospital, Colorado Springs, Colorado, USA.
Robert MadayagDepartment of Trauma Services, St. Anthony Hospital, Lakewood, Colorado, USA.
Carlos H Palacio LascanoDepartment of Trauma Services, South Texas Health System McAllen, McAllen, Texas, USA.
David Bar-OrInjury Outcomes Network, Englewood, Colorado, USA.
Johns Hopkins University · USWesley Medical Center · USHealth Outcomes Solutions (United States) · USPenrose Hospital · USPlano Cancer Institute · USSouth Texas College · USSt. Anthony Hospital · USSwedish Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to quantify nation-wide interhospital variation in neurosurgical intervention risk by intracranial hemorrhage (ICH) type in the setting of mild traumatic brain injury (mTBI). This was a retrospective cohort study of adult (≥18 years) trauma patients included in the National Trauma Data Bank from 2007 to 2019 with an emergency department Glasgow Coma Scale score 13-15, diagnosed ICH, no skull fracture. The primary outcome was neurosurgical intervention. Interhospital variation was assessed by examining the best linear unbiased predictors (BLUPs) obtained from mixed-effects logistic regression with random slopes and intercepts for hospitals and covariates for time and 14 demographic, injury, and hospital characteristics; one model per ICH type. Intercept BLUPs are estimates of how different each hospital is from the average hospital (after covariate adjustment). The study population included 49,220 (7%) neurosurgical interventions among 666,842 patients in 1060 hospitals. In 2019, after adjusting for patient case-mix and hospital characteristics, the percentage of hospitals with hemorrhage-specific neurosurgical intervention risk significantly different from the average hospital was as follows: isolated unspecified hemorrhage (0% of 995 hospitals); isolated contusion/laceration (0.54% of 929); isolated epidural hemorrhage (0.39% of 778); isolated subarachnoid hemorrhage (0.10% of 1002); multiple hemorrhages (2.49% of 963); and isolated subdural hemorrhage (16.25% of 1028). In the setting of mTBI, isolated subdural hemorrhages were the only ICH type to have considerable interhospital variability. Causes for this significant variation should be elucidated and might include changing hemorrhage characteristics and practice patterns over time.

Indexed as

epidemiologyintracranial hemorrhagemildNational Trauma Data Bankneurosurgical interventiontraumatic brain injuryvariability

Identifiers

PMID36941879
PMCPMC10024575
OpenAlexW4327724269

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read57
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.